Engineering Jobs in Eldorado Springs Colorado
9 positions found
We are seeking a highly analytical and strategic individual to serve as the primary quantitative leader for our Digital Marketing organization. As the Senior Marketing Science Analyst, you will build and own the growth analytics function, setting the foundation for how we measure, model, and make decisions across the entire digital business - building the predictive models (Retention/Churn, CLV) and incrementality frameworks (MMM/Geo-Lift/DDA) that dictate how we spend our next million dollars. As a direct report to the VP, you are not just a reporter of performance—you are a strategist who uses advanced mathematics to engineer growth and operationalize insights across every digital touchpoint.
This is a high-impact, performance-based role designed to move beyond standard reporting. While we have established baseline infrastructure, you are expected to take our capabilities to the next level—building the predictive and causal models that directly engineer profitable growth. You will serve as the "analytical architect," responsible for unlocking deep customer insights, increasing the validity and speed of our KPIs, and translating complex data into clear, actionable strategies for the VP and broader marketing team. This individual will effectively exhibit JD Finish Line’s core values of Customer, People, Winning, Community, and Financial Responsibility in everything they do by performing the following main duties:
Growth & Performance Architecture
- Strategic Partnership: Act as the primary analytical partner for paid and retention channel owners to optimize performance and unlock channel-level efficiencies.
- Full-Funnel Ownership: Build and own the marketing analytics function, establishing how we measure the core drivers of the business and the impact of our actions on those drivers.
- Advanced Attribution: Transition the organization from baseline models to sophisticated Multi-Touch Attribution (MTA) and Market Mix Modeling (MMM) to drive profitable acquisition.
- Incrementality Testing: Design and lead "Scientific Lift" studies (e.g. Geo-tests) to measure the true causal impact of Meta, Google, and Brand campaigns.
- Market Mix Modeling (MMM): Maintain the statistical model that advises the VP on quarterly budget shifts between Paid, Owned, and Earned media.
- Full-Funnel Attribution: Manage the transition from basic last-click reporting to a multi-touch, data-driven attribution (DDA) model.
Customer Science & Program Development
- Model Development: Lead the development of programs that target customers across the full lifecycle using advanced statistical modeling, machine learning, and propensity scoring.
- Predictive Insights: Build and maintain predictive models (Churn, CLV, Next-Best-Action) that allow the CRM/retention team to automate 1-to-1 personalization.
- Data Harmonization: Collect, harmonize, and review data across disparate sources (Commerce Tools, Looker/Big Query, Meta, GA4, Braze) to ensure a unified view of the customer.
Strategic Partnership & Team Enablement
- Paid Media/Acquisition: Provide the Paid Media team with data-driven insights on bid optimization, budget allocation, and target audiences derived from MMM, MTA and CLV forecasts to lower blended Customer Acquisition Cost (CAC) while scaling volume.
- CRM/Retention: Collaborate closely with the CRM/Lifecycle team to operationalize models by feeding predictive scores directly into segmentation and personalization engines (e.g., Braze) to maximize conversion and retention rates.
- Executive Insight: Serve as the strategic analytical consultant to leadership, translating complex mathematical findings into clear, concise, and actionable business recommendations for investment decisions.
- Data Strategy: Partner with Data Engineering and IT teams to architect and ensure the integrity, governance, and flow of data from raw sources (E-commerce platform, Ad Platforms, appsflyer, etc) into the cloud data warehouse for modeling purposes.
Experimentation & Rigorous Analysis
- Scientific Testing: Design and execute rigorous experiments (A/B, Multivariate, and Geo-Lift) to isolate the true causal impact of marketing initiatives.
- Visual Storytelling: Formulate key insights, charts, and reports for high-level presentations to the VP and executive leadership, turning complex coefficients into business narratives.
- KPI Visibility: Increase the transparency and accuracy of core business metrics, ensuring the team is making decisions based on "valid" and "real-time" data.
Requirements
- Education: B.S. or M.S. in a quantitative field (Statistics, Economics, Mathematics, or Data Science).
- Professional Experience: 4-8 years in Marketing Analytics or Data Science, with at least 3 years in a high-volume Retail/E-commerce environment.
- Strategic Acumen: Proven ability to translate complex data into business strategy and present to executive-level stakeholders. Experience working independently on analytical tasks, building, and optimizing ‘big data’ pipelines, architectures, and data sets
- Experience developing and delivering exec-level presentations using insights derived from analytics
- Strong working knowledge of Microsoft PowerPoint and Excel
- Coding & Data Science: Expert proficiency in SQL and Python
- Web Analytics & BI: Expert experience with Google Analytics 4 (GA4) and a major BI/Visualization platform (preferably Looker).
- Marketing: Direct working experience with the data output of a major CRM/E-commerce platform (e.g., Commercetools, Braze, etc).
- Visualization: Mastery of Looker to build executive-level dashboards.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Sit for more than 6 hours per shift
- Use hands to finger, handle and feel
- Reach with hands and arms
- Talk and/or hear
- Stand for up to 2 hours at a time regularly
- Walk or move from one location to another regularly
- Periodically may need to climb, balance, stoop, kneel, or crouch
- Lift and/or move up to 10 pounds regularly and up to 50 pounds occasionally
- Punctuality and regular attendance consistent with the company’s policies are required for the position.
- Average workweek is 40 hours, which can vary depending on business need.
- The work environment for this position is a moderately noisy office setting.
#LI-DNI
Position Overview
We are seeking a motivated and detail-oriented Software Test Engineer to support our growing portfolio of electromechanical medical devices with embedded software. This entry-level role focuses primarily on manual software testing, defect identification, and contributing to test automation initiatives.
The ideal candidate is passionate about quality, collaborative by nature, and eager to grow within a regulated medical device environment.
Key Responsibilities
- Support software testing activities for electromechanical medical devices.
- Analyze software requirements and develop comprehensive test cases for verification and validation (V&V).
- Perform manual testing including:
- Dry runs
- Smoke testing
- Integration testing
- Identify, document, and track defects.
- Assist in developing and maintaining automated test cases.
- Collaborate closely with software developers and cross-functional teams.
- Prepare and maintain clear, thorough test documentation and reports.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field.
- 1–3 years of experience in software testing, including:
- Manual testing
- Some experience with test automation
Preferred Qualifications
- Experience with embedded systems testing.
- Experience developing automated tests using Python and/or LabVIEW.
- Familiarity with Microsoft Azure DevOps.
WHO WE ARE
TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industry’s core personas—investors, advisors, investment teams, and operations—so financial institutions can move faster, serve more clients, and deliver better outcomes with the same (or fewer) resources. We combine finance-native AI, specialized data, and enterprise-grade controls to deploy secure, compliant capabilities into real production environments.
WHAT SETS US APART
- Speed: We build and ship quickly—MVPs in ~3 months, production-ready products in ~6–12 months.
- Track Record: Prior exits include 55ip (acquired by J.P. Morgan) and Paralel
- Strategic Partners: Partners include J.P. Morgan, SEI, Franklin Templeton, Morningstar, Broadridge, Motive Partners and Tectonic Ventures.
- World-Class Team: Complimentary expertise across AI and financial services, with experience from Google, Microsoft, Uber, PayPal, eBay, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more.
OUR VALUES
- Grow at the Edge. We are driven by personal growth fueled by a beginner’s mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
- Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team.
- I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better.
ROLE OVERVIEW
We are looking for a Head of Product for our AI financial assistant for the workplace, , designed to provide personalized financial and benefits guidance for employees and growth for advisors. You will own the technical and production vision from architecture through delivery, including direct responsibility for engineering direction across AI, LLM systems and platform architecture. You will report directly to the CEO and shape company strategy, platform investment and technical direction in order to create magic for our customers.
PROJECTS
- AI Agent Orchestrator: Design and delivery of multi-agent systems coordinating planning, reasoning, execution and tool use.
- Human-in-the-Loop Collaboration: Architect systems with a clear separation of automation vs advisor or employee decision making for compliance and trust.
- LLM Systems and Model Engineering: Purpose-tuned models for financial services to handle complex, multi-turn interactions with actionability in low-latency environments.
- Enterprise Platform and Integration: Integrate with enterprise CRMs, data warehouses, identity systems and legacy financial platforms.
WHAT YOU’LL DO
- Live and breathe the product. Own all aspects to launch new products and features with a highly detailed and thoughtful testing approach.
- Direct engineering and LLM teams across platform development, AI systems, and production infrastructure.
- Define and prioritize technical roadmaps, including model strategy, platform architecture, and system scalability.
- Establish engineering and AI quality bars, including evaluation, testing, monitoring, and reliability.
- Ensure systems meet enterprise requirements for security, compliance, auditability, and data segmentation.
- Act as a technical leader across the organization, raising the bar for execution and decision-making.
WHAT YOU’LL BRING
- 7+ years of hands-on experience in product management with a track record shipping AI systems that operate reliably under real-world constraints
- Experience directly leading and influencing senior engineers and AI/LLM specialists
- Strong understanding of LLM behavior, failure modes, hallucination mitigation, and evaluation techniques
- Ability to manage the product roadmap from scratch through to production.
- Swift, high-quality decision making informed by data but not paralyzed without it.
- Ability to plan for future work while maintaining the current delivery with rapidly changing priorities.
- Resilience and adaptability - experience working at early-stage startups is a plus.
COMPENSATION RANGE
$150,000 - $200,000 USD
In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO.
TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
Please see more details on our privacy practices in our Privacy Notice here.
Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.
Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.
What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.
Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.
Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.
Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.
Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.
Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.
Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.
Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.
Specific options depend on the Sailor's status, training, and current Navy policy.
Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.
Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.
Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.
Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.
Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.
It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.
Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.
We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries.
Job Description: Job Title: Manual Test Engineer/Engr 2, Software Test Location: 321 South Taylor Avenue, Louisville CO 80027 Duration: 12-month contract (Temp to Perm Possibility) Must Have Defect Identification Software Manual Testing Software Testing Process Nice To Have Test Automation Description: Role Description: We are seeking a Software Test Engineer to support our growing portfolio of electromechanical medical devices with embedded software.
This is a mid-level role that involves primarily manual testing of software with the ability to identify defects and some potential test automation work.
Level: Mid-level (ideal experience: 2 to 6 years) This role has potential for extension or long-term engagement based on performance and business needs.
Responsibilities: Support software testing of electromechanical medical devices.
Analyze requirements and write test cases for software V&V.
Perform manual testing including dry runs, smoke testing, integration testing and identify defects.
Develop and maintain automated test cases.
Collaborate closely with software developers and cross-functional teams.
Prepare documentation of test reports.
Minimum Qualifications: Bachelor’s degree in Computer Science, Computer Engineering or Electrical/Software related field.
2 to 6 years of experience in software testing, including manual and some automation testing.
Nice to Have: Experience developing automated tests using Python and/or LabVIEW.
Embedded systems testing background.
Familiarity with Microsoft Azure DevOps.
Soft Skills: Team-oriented and easy to collaborate with.
Good communication skills.
Commitment to Quality.
At KAYGEN, we are always looking for dynamic, talented and experienced individuals.
We invite you to join our team of talented IT professionals, consulting at client locations across the globe.
Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity.
Our team of experienced staffing experts will work with you to find you the best opportunity.
For more information, please visit us at : Free Healthcare Insurance Vision and Dental Insurance 401(k) Retirement Plan Free Life Insurance Sick Time Off Achieve your Kaizen by clicking here.
A unique and exclusive talent community supported by Kaygen, that includes programs like: Certifications Mentorship Program Referrals Family and Wellness benefits Continuous Growth and Career Development
Salary: $160,000
- $180,000 per year A bit about us: Come join a growing direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data analysis! Job Title: Staff Software Engineer Job Location: 100% REMOTE, but you must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
Pay Rate: $160k-$180k/yr.
+ Comprehensive Benefits Must have: 5+ yrs of Frontend Development experience, building & engineering user interfaces Expertise with React Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members Python, Django, and FastAPI Prior startup experience Preferred Qualifications: Kubernetes, Argo, and Google Cloud Platform Experience building full-stack applications from scratch Infrastructure as code and DevOps experience Why join us? A mission-driven company focused on sustainability and innovation.
● A remote-first culture with flexibility and autonomy.
● A collaborative and supportive team environment.
● Competitive salary, equity, and benefits.
If you’re passionate about building great software and want to work on products that make a positive environmental impact, we’d love to hear from you Job Details We are seeking a talented and experienced Staff-level Full Stack Engineer with a strong emphasis on frontend development to help shape the future of our digital products.
This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale.
You will work closely with a cross-functional team of designers, product managers, and backend engineers to build high-quality, performant, and scalable web applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do ● Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience.
● Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs.
● Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs.
● Mentorship: Support other engineers through code reviews, pair programming, and technical guidance.
● Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences.
● Process Improvement: Contribute to enhancing development processes, best practices, data driven decisions, and engineering culture.
Must have: 5+ yrs of Frontend Development experience, building & engineering user interfaces Expertise with React Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members Python, Django, and FastAPI Preferred Qualifications: Kubernetes, Argo, and Google Cloud Platform Experience building full-stack applications from scratch Infrastructure as code and DevOps experience Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
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Salary: $160,000
- $190,000 per year A bit about us: Our Client is a fast-growing, data-driven startup based in Boulder, Colorado, helping homeowners take better care of their land through smarter, sustainable, and AI-powered lawn care.
Now they’re building the future of lawn care — powered by AI — and looking for an engineer excited to develop intelligent systems that learn, reason, and act.
Why join us? Mission with Impact: Help make sustainable, intelligent lawn care accessible to everyone.
High-Growth Startup: Small, fast-paced team where your work directly shapes the product.
Cutting-Edge Tech: Build AI systems leveraging OpenAI, LangChain, and computer vision.
Flexible Work: Remote-friendly with optional HQ collaboration in Boulder, CO.
Competitive Pay & Equity: Plus, 100% employer-paid health benefits, unlimited PTO, and 401(k).
Job Details We’re searching for a Software Engineer with deep AI/ML experience to join our clients Yard AI initiative — building the next generation of autonomous, AI-driven lawn care tools.
You’ll work on the companys AI lawn care companion, scaling capabilities that include image recognition (weeds, bare spots, lawn health), personalized task calendars, and intelligent conversational workflows that help customers take action.
This role is ideal for someone who thrives at the intersection of backend engineering and applied AI — developing, deploying, and optimizing LLM and multi-agent systems that integrate directly into user-facing applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MI, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do Design, build, and maintain backend + AI pipelines (FastAPI, Python) powering LLM-driven chat, image recognition, and agentic workflows Develop and deploy agentic AI systems using frameworks like LangChain, CrewAI, or LangGraph Create RAG pipelines using vector databases (Pinecone, Weaviate, PGvector) and proprietary data to improve contextual relevance Collaborate with cross-functional teams — product, design, mobile, and data science — to deliver high-impact, intelligent features Fine-tune and evaluate LLM/CV models using tools like OpenAI Evals, Braintrust, or Promptfoo Deploy and monitor production systems in GCP/Kubernetes, ensuring reliability and observability with OpenTelemetry Mentor other engineers on AI best practices and agentic architectures What We’re Looking For 5+ years of experience in software or AI engineering Strong Python development skills with production experience Hands-on experience with OpenAI APIs (Assistants, Evals, SDKs) Proven experience building RAG and multi-agent systems Familiarity with LangChain, CrewAI, LangGraph, or similar orchestration tools Experience deploying AI models in GCP or AWS environments Understanding of CI/CD, Terraform/CDK, and cloud-native operations Strong communication and collaboration skills Bonus: familiarity with computer vision, reinforcement learning, or MCP servers Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $160,000
- $180,000 per year A bit about us: Our client is a direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data anayalsis.
Why join us? A mission-driven company focused on sustainability and innovation.
● A remote-first culture with flexibility and autonomy.
● A collaborative and supportive team environment.
● Competitive salary, equity, and benefits.
If you’re passionate about building great software and want to work on products that make a positive environmental impact, we’d love to hear from you Job Details We are seeking a talented and experienced Senior or Staff Frontend Engineer to help shape the future of our digital products.
This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale.
You will work closely with a cross-functional team of designers, product managers, and front-end and back-end engineers to build high-quality, performant, and scalable web applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, Mi, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do Build: Develop and maintain customer-facing React applications across our e-commerce platform, internal customer experience portal, and main website.
Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience.
Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs.
Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs.
Mentorship: Support other engineers through code reviews, pair programming, and technical guidance.
Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences.
Process Improvement: Contribute to enhancing development processes, best practices, data-driven decisions, and engineering culture.
What We’re Looking For Proven React Experience: 5+ years of professional experience building and engineering exceptional user interfaces and pages using React.
Must have a strong grasp of data structure, best practices, scalable patterns, and performance optimization.
Design Intuition: Strong understanding of user experience and visual design principles.
Technical Leadership: Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members.
Backend Experience: Comfort working with Python, Django, and FastAPI, with the ability to build and interact with APIs effectively.
Proven track record of contributing to Python projects in a professional capacity.
Startup Mentality: Comfortable in a fast-paced, high-growth environment where adaptability and problem-solving are key.
Key Strengths: Persistence, intelligence, creativity, flexibility, passion, humility, curiosity, and professionalism.
Communication, soft skills, ability to effectively participate in discussions Bonus Points – We’d Be Really Impressed If You Have: Experience working with Kubernetes, Argo, and Google Cloud Platform.
A track record of building full-stack applications from scratch, making technical decisions that balance performance, maintainability, and scalability.
Familiarity with infrastructure as code and DevOps best practices.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
(100 percent remote) This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $220,000 per year A bit about us: We’re seeking a Software Engineer with a strong focus on AI systems and backend development.
You’ll help design and scale intelligent, data-driven applications that combine large language models, computer vision, and autonomous agents to deliver next-generation user experiences.
This role centers on building, training, and optimizing machine learning models, developing agentic AI systems, and integrating them into web and mobile platforms.
You’ll collaborate closely with product managers, designers, and data scientists to deliver intelligent, reliable, and impactful user-facing features.
Why join us? What You’ll Gain Opportunity to design and launch core AI infrastructure from the ground up.
Flexible remote or hybrid work options.
Competitive compensation and benefits.
A chance to work with a fast-moving, cross-functional team driving innovation in applied AI.
Job Details AI Software Engineer (Backend Focus) Build the Future of Intelligent Systems — Join Us as an AI Software Engineer Help design and deploy next-generation AI infrastructure that powers smarter, more personalized, and autonomous digital experiences.
About the Role We’re looking for a highly skilled AI Software Engineer to help design, build, and scale intelligent systems that bridge backend engineering and applied AI.
You’ll develop production-ready pipelines integrating large language models (LLMs), retrieval-augmented generation (RAG), computer vision, and agentic architectures — shaping how users interact with AI-driven products in real time.
This is a hands-on engineering role where you’ll collaborate with product managers, designers, and data scientists to create intelligent, reliable, and scalable systems that learn, reason, and act.
What You’ll Do Design & build backend services: Develop FastAPI or similar systems that power LLM-driven chat, search, and image recognition.
Architect agentic AI systems: Implement multi-agent frameworks enabling autonomous reasoning, planning, and execution.
Train and deploy models: Fine-tune and evaluate computer vision and language models; define testing suites to ensure quality and safety.
Develop RAG pipelines: Create retrieval systems grounded in structured data to improve contextual accuracy.
Ensure reliability: Build guardrails, validation layers, and observability for AI performance and safety.
Optimize & scale: Automate workflows with CI/CD, Infrastructure-as-Code, and continuous telemetry feedback loops.
Collaborate cross-functionally: Partner with design, mobile, and product teams to deliver AI-driven user experiences end-to-end.
About You 5+ years of experience in backend or AI software engineering.
Proficiency in Python, APIs, and distributed systems.
Hands-on experience with OpenAI APIs, LLM integrations, and agentic frameworks (LangChain, LangGraph, CrewAI).
Experience with vector databases (Pinecone, Weaviate, PGVector) and retrieval-augmented generation (RAG).
Solid understanding of model evaluation, testing, and performance monitoring.
Skilled in cloud environments (AWS, GCP, or similar) and container orchestration (Docker, Kubernetes).
Strong collaboration and communication skills.
Bonus: Familiarity with reinforcement learning or multi-agent coordination systems.
Why Join Us Work on groundbreaking AI applications that combine real-world data and intelligent automation.
Join a small, fast-moving team with autonomy and ownership.
Flexible remote or hybrid work options.
Competitive pay, full benefits, and unlimited PTO.
The opportunity to shape the direction of applied AI infrastructure from the ground up.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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