Engineering Journal Jobs in Pitcairn, PA

A high-mix manufacturer, that has doubled in size in the past two years, is seeking a Manufacturing Engineer. Organization produces mission-critical components for electrical, defense, medical, and transportation markets and known for engineering excellence, quality and a strong, collaborative culture.

Manufacturing Engineer

The Manufacturing Engineer will collaborate with the production team, quality team, and other key functions to drive efficiency, eliminate waste, and improve quality in the cast resin manufacturing process. You will work with a cross-functional team to identify and act upon process improvement opportunities, ensure robust manufacturing procedures/documentation, support new product launches, and leverage our new state-of-the-art casting equipment to maximize value for our customers. Position will report to the Director of Engineering and become a critical part of the engineering and production team.

Responsibilities:

• Creation/Implementation of Standard Work, PFMEA’s, Control Plans and other Manufacturing Process Documentation
• Maintaining manufacturing documentation (drawings, BOM, standard work, etc.) in the ERP system for new and existing products
• Root cause and corrective actions to drive process improvement and elimination of waste
• Design and execution trials/experiments to develop manufacturing technology
• Design and manufacture/procurement of fixtures, tools, and other such items to support and improve the manufacturing process
• Collaborate with cross-functional teams to develop manufacturing area layouts which support efficient and repeatable execution of the manufacturing process
• Leverage manufacturing and materials expertise to develop the next generation of products in mission critical applications

Requirements:

• BSc in Engineering. Mechanical, Material, or Electrical concentration preferred
• Minimum 3 years experience in manufacturing engineering or a related field
• Experience with SolidWorks or similar CAD software
• Experience with root cause analysis and related tools
• Experience with SPC and related methods
• Understanding of Lean Principles
• Desire to grow and acquire new skills/certifications
• Collaboration and Interpersonal Skills
• Proficient in use of Microsoft Office Suite

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking a talented Senior Data Engineer to build and scale the data infrastructure that powers our retail technology platform. As a key member of our early-stage team, you'll design and implement robust data pipelines, establish best practices for data engineering, and enable data-driven decision making across the organization. This is a unique opportunity to shape the data foundation of a growing startup and work with cutting-edge technologies in both batch and streaming data processing.

What you’ll do:

• Design and implement scalable data pipelines for both batch and streaming workloads using Python and Spark 
• Build and maintain cloud-native data infrastructure to support our retail analytics and operational needs 
• Develop real-time streaming solutions to process transaction, inventory, and operational data 
• Develop AI agents to automate operations 
• Implement data quality validation and monitoring to ensure reliability across our data ecosystem 
• Establish DataOps best practices and automation as we scale our data infrastructure Own data security and privacy compliance as we handle sensitive customer and business data 
• Collaborate closely with product, engineering, and business teams to understand data requirements and deliver solutions 
• Mentor team members and contribute to building a strong data engineering culture 

What we’re looking for:

• 5+ years of hands-on data engineering experience 
• Strong proficiency in Python for data processing and pipeline development
• Production experience with Apache Spark for large-scale data processing
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
• Proven track record implementing both batch and streaming data pipelines
• Deep understanding of SQL and modern data warehouse technologies 
• Strong knowledge of data modeling, ETL/ELT patterns, and workflow orchestration Experience with distributed systems and cloud infrastructure 
• Excellent problem-solving and analytical skills 
• Strong communication skills with ability to translate business needs into technical solutions Thrives in fast-paced, early-stage startup environments with changing priorities 

Nice to have:

• Experience in retail tech, e-commerce, or similar enterprise systems 
• Expertise with real-time processing frameworks like Kafka, Kinesis, or Flink
• Proficiency with Python data handling libraries (pandas, NumPy, polars) 
• Knowledge of data quality and observability platforms 
• Understanding of event-driven architectures, medallion architectures, and CDC patterns 
• Previous experience at an early-stage startup or building data infrastructure from scratch 
• Background working with multi-tenant SaaS platforms or enterprise analytics systems
• Experience with container orchestration (Docker, Kubernetes) 
• Knowledge of DataOps and MLOps best practices

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Senior Automation Controls & Vision Engineer

Travel: Up to 25% (including international)

Local - Pittsburgh, PA

Benefits- Medical, Dental, Vision, Life and Disability Insurance, and 401K. In addition ESP Plan, and Tuition Reimbursement.

About Us

Our Client is a global medical technology company dedicated to improving the quality, effectiveness, and efficiency of health care. Their innovative solutions address advanced hospital technologies, plasma collection systems, and products that enable labs and centers to collect high-demand blood components.

Position Summary

The Senior Automation Controls & Vision Engineer leads the design, integration, and optimization of advanced automation and vision-based inspection systems across our global manufacturing operations. This role partners closely with R&D, Manufacturing, Quality, and Software Engineering to deploy high-performance, defect-detection and quality control solutions.

Key Responsibilities

• Integrate and optimize machine vision systems (Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa).
• Configure lighting, lensing, positioning, and vibration control to ensure inspection reliability.
• Design and program Allen-Bradley PLC systems (ControlLogix, CompactLogix, FactoryTalk).
• Develop HMIs, safety interlocks, and integrated automation architectures.
• Program and integrate Epson and/or ABB robots (preferred).
• Lead projects from concept through validation and deployment.
• Drive continuous improvement, Industry 4.0, and data-driven manufacturing initiatives.

Qualifications

• Bachelor’s Degree in Engineering (Electrical, Computer, or related field preferred).
• 5+ years of experience in automation controls and/or vision system engineering.
• Strong Allen-Bradley PLC programming expertise.
• Hands-on machine vision setup and optimization experience.
• Programming experience in C++ or Python.
• Medical device manufacturing experience preferred.
• Lean/Six Sigma certification a plus.

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.

You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.

What you’ll do:

• Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
• Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
• Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
• Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
• Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
• Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.

What we’re looking for:

• 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
• A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
• Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
• Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
• The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.

Nice to have:

• Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
• Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
• Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
• Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

Pay Details

The pay rate for this position is $21/hour. Hourly wage is based on experience and geographical location.

• Flexible work schedule
• Access to an employee discount program
• Reimbursable travel time and mileage

Project Details

RTI International is seeking self-motivated and outgoing individuals to work on an important and long-standing government-sponsored study, the National Survey of Family Growth (NSFG), as Part-Time Field Interviewers.

The National Survey of Family Growth (NSFG), conducted by the federal government since 1973, is a national survey of women and men, 15-49 years of age, designed to provide national estimates of factors affecting pregnancy and birth rates, and general reproductive health. The topics covered in the NSFG are sensitive but extremely important for understanding women’s and men’s health and well-being in the United States.

The NSFG interview covers sexual activity, contraceptive use, pregnancy history (including pregnancy loss), infertility, relationship experience, (including marriages and cohabitation), use of medical services (including family planning, infertility services, and preventative health care), and experience with adoption and foster care. For more information on the NSFG research project and requirements, please see: Interviewers will make face-to-face visits to selected households to screen for eligible respondents and conduct in-person NSFG interviews. Given the survey description above, these interviews require asking sensitive questions to selected respondents in a private setting using a project-provided tablet.

This is an excellent opportunity for individuals looking for a part-time, long-term career with a variable schedule that allows you to work independently and not be stuck in an office. As a part-time Field Interviewer, you will interact with others and approach selected households without a prior appointment.

If you’re interested in engaging people from diverse backgrounds and passionate about the health and well-being of others, this may be the job for you. Qualified candidates MUST be able to work when respondents are available and be comfortable working a consistent, varied schedule to accommodate project needs.

The current data collection period is expected to run through December 2026, however there is the possibility of continued work beyond 2026 depending on sample locations in future years.

Field Interviewers are responsible for:

• Traveling frequently to selected locations to recruit study participants
• Locating selected dwelling units, identifying eligible adult household members, administering a screening interview and recruiting respondents for a longer main interview, if selected
• Making in-person contact with selected respondents to discuss the study, answer questions, and obtain participation
• Collecting confidential information and administering standardized questionnaires
• Independently managing administrative duties, including participating in conference calls and completing online trainings
• Transmitting data as scheduled
• Assuming full and legal responsibility for use and care of project-issued equipment
• Safeguarding any participant incentives, issued equipment, or project materials against damage, loss, or theft
• Assuming responsibility for and carefully tracking all participant incentives
• Submitting timely and accurate Time & Expense reports
• Virtually attend scheduled meetings with other members of the project team
• Maintaining regular access to a reliable wireless internet connection in your home for project work
• Meeting weekly with supervisor via Zoom
• This position involves standing, walking and climbing stairs, and transporting equipment and materials such as laptop computers and notebooks weighing 15 pounds or more.

Minimum Required Qualifications

• Must possess High School Diploma or GED
• Possess effective communication skills through speech and listening
• Fluency in English through reading, writing, and speaking
• Available for entire training and data collection period
• Able to successfully complete training
• Must have a valid US driver's license and reliable personal automobile available for business use
• Comfortable using RTI issued tablet, laptop and other associated equipment
• Access to password-protected Wi-Fi connection for data transmissions and administrative responsibilities
• Able to keep project information confidential
• Willingness to work in various types of weather conditions and after dark
• Must be comfortable asking survey questions on personally sensitive subject matters (e.g. pregnancy, reproduction, sexual activity)
• Must be willing to work approximately 20 hours a week, including weekends and weekday evenings, on a regular basis with occasional weekday daytime hours.
• Must be comfortable working in unfamiliar areas

Preferred Qualifications for Ideal Candidates

• Positive, self-motivated, curious, and enjoy interacting with people from a variety of backgrounds
• Effective time, schedule, and workload management skills to meet set deadlines
• Computer skills, namely email and internet proficiency
• Experience conducting in-person, household interviews with randomly selected respondents
• Willingness to travel to other areas in geographical region (e.g., within state, adjacent state) for short periods of time

Work Schedule

• The data collection period is expected to be April, 2026 through December, 2026.
• On average, you will be needed approximately 20 hours per week when work is available.
• On average, you should be available to work in the field 4 days each week.
• The majority of this work is anticipated to be during evenings and weekends.
• Each of your trips to the field are expected to be at least 4 hours long.

Training Details

You must attend a paid 7-day virtual training, not including the weekend, scheduled for April 13 –April 21, 2026 between the hours of 11:00 am and 4:00 pm eastern. You are also required to complete a self-administered home study and pre-training courses prior to attending virtual training.

Accommodation

RTI International will accommodate our job application procedures for disabled veterans and other qualified individuals with disabilities.

If you have a disability that affects the use of our online application system, or if you otherwise need accommodation in connection with the recruiting process due to a disability, please CLICK HERE for information on how to contact us to request an accommodation.

Additional Notifications

RTI International is an independent, nonprofit research institute dedicated to improving the human condition. Clients rely on us to answer questions that demand an objective and multidisciplinary approach--one that integrates expertise across the social and laboratory sciences, engineering, and international development. We believe in the promise of science, and we are inspired every day to deliver on that promise for the good of people, communities, and businesses around the world. For more information, visit are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Further information is available here.

At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a competitive range of insurance plans (including health, dental, life insurance, a health savings account (HSA), and access to a 401(k) retirement plan.

For USA Job Postings Only: RTI participates in the US Government E-Verify program. Further information regarding the E-Verify program and laws that are designed to protect you against discrimination relating to your legal right to work in the US can be found at San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

For Applicants in US Virgin Islands Only: A record of conviction will not exclude an applicant from being eligible for the position. Factors that may be examined include:

(1) The rational relationship of the nature of the offense to the duties and responsibilities of the position; and

(2) Evidence of the rehabilitation of the applicant.

RTI also participates in the E-Verify program. Click here to view the posters in English and Spanish. Click here to view the anti-discrimination notice issued by the Office of Special Counsel for Immigration-Related Unfair Employment Practices. Click here to view the Right to Privacy in the Workplace/E-Verify Poster

Anticipated Close Date: Apr 16, 2026

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and is scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

Profitmind is looking for a Full-Stack Software Engineer to help build and evolve the core product experience across both the frontend and backend. This role is frontend-heavy, but requires comfort working across the stack, including writing SQL queries and supporting backend data access in a JavaScript/TypeScript environment. 

You’ll work closely with product, design, and engineering to turn complex data, workflows, and AI-driven functionality into experiences that feel simple, fast, and purposeful. This is a hands-on role for a mid-level engineer who can operate independently and work with the team to deliver features end-to-end.

What you’ll do:

• Build and maintain modern, responsive user interfaces across our web applications
• Develop and maintain reusable UI components within the core Profitmind product
• Work in a full-stack JavaScript/TypeScript environment, supporting both frontend features and backend data needs
• Write and maintain SQL queries to support product functionality and analytics use cases
• Support front-end and back-end integration for AI-powered tools and workflows
• Build dashboards and agent-style interfaces that make complex outputs easy to understand
• Write automated tests for frontend and full-stack functionality as part of a high-quality development process
• Ensure strong performance, accessibility, and cross-browser compatibility
• Iterate quickly based on user feedback and evolving product direction

What we’re looking for:

• 4–5 years of professional software development experience preferred
• Strong, hands-on experience building frontend applications using modern frameworks such as React, TypeScript, Next.js, or similar
• Comfort working across the stack in a JavaScript/TypeScript codebase
• Ability to write SQL queries independently and work with relational data on the backend
• Experience building data-driven user interfaces, dashboards, or analytics-heavy applications
• A pragmatic approach to automated testing and code quality
• High attention to detail and pride in delivering polished, usable software
• Ability to work independently in a fast-moving, product-driven environment
• Experience with enterprise, data-heavy, or analytics-focused products is a plus

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

This is a full-time position based in Pittsburgh, PA, though remote candidates will be considered on a case-by-case basis.

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

We are seeking individuals to review and provide feedback on everyday money-management tips. This role focuses on common financial challenges such as managing expenses, reducing spending, and making smarter financial choices.

You will review examples of budgeting methods and evaluate practical ideas people use to stretch their income. The goal is to understand which approaches work best for real households.

The work is flexible and fully online. Applicants should have an interest in budgeting, saving money, or improving financial habits.

No formal finance background is required.