Engineering Structures Login Jobs in West View, PA

The Quality Engineer is accountable for ensuring that Eos development products meet specified requirements and are tested to ensure compliance with internal and external standards.

Responsibilities

• Leading root cause investigation, failure mode effects analysis, design verification/validation testing, inspection method development, acceptance criteria creation and process validation/verification.
• Develop protocols and reports to clearly document the previous design control activities.
• Participate in the qualification and design transfer activities with external manufacturers.
• Conduct external audits of new suppliers as part of the new product development and internal audits of the quality system to assure alignment to corporate policies, internal standards/requirements, and compliance with regulatory requirements.
• Support the maintenance of existing products including but not limited to design changes, process changes, supplier changes, remediation, recertification, and brand extensions.
• Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

Knowledge, Skills., and Abilities

• Strong interpersonal skills, written, oral communication and negotiations skills.
• Strong critical and creative thinking skills.
• Highly developed problem-solving skills.
• Strong analytical skills.
• Demonstrated ability to successfully manage and complete projects in a matrix organization.
• Demonstrated ability to work independently.
• Strong knowledge of Quality Concepts.
• Must possess strong project management skills as well as having the ability to manage multiple tasks simultaneously.

Education and Experience

• Bachelors' degree in Engineering
• Demonstrated ability to advocate for product excellence and quality.
• Demonstrated ability to effectively work cross-functionally.
• Electrical and/or mechanical product knowledge is preferred.
• Design control or new product development is preferred.
• Quality engineering experience is highly preferred.

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

Medicare Operations Specialist – Growth Track to Medicare Lead National Insurance Markets (NIM) | Pittsburgh, PA | Full-Time | In-Office

We're an operating partner to independent agents who want to build a real Medicare business — and we're growing.

NIM is hiring a Medicare Operations Specialist to own the Medicare process from A to Z. This is a foundational role on our team, and it's designed with a clear path: master the operation, grow into our Medicare Lead seat.

What You'll Own

You'll be the person who makes sure nothing falls through the cracks. That means managing the full enrollment lifecycle, tracking policies from submission to approval, handling agent contracting and onboarding, keeping carrier relationships clean, and running production and status reports while maintaining CRM accuracy and proactively supporting the agents we serve.

This isn't a \"wait to be told\" position. You'll be expected to notice problems early, close loops without reminders, and think ahead.

The Growth Path

After 12 months of hitting competency benchmarks, your base increases from $40K to $45K. From there, you grow into agent training, workflow optimization, Medicare quoting systems, and commission tracking — the building blocks of our Medicare Lead role.

Advancement is performance-based.

You're the Right Fit If You:

• Double-check your own work without being asked
• Naturally keep lists and close open loops
• Handle confidential information responsibly
• Thrive in a structured, process-driven environment
• Want a career in health insurance, not just a job

Compensation & Benefits

• $40,000 base → $45,000 after 12-month benchmarks
• Uncapped bonus structure
• Medical & Vision (50% employer-paid after 90 days)
• 401(k) with 3% Safe Harbor
• Defined Benefit Plan (eligible immediately)
• Profit sharing + paid vacation and holidays

NIM is relocating to Carnegie, PA within the next 6 months as part of our continued growth.

Ready to be part of the engine? Apply today.

(412) 782-1979 |

Shermco Industries

Since 1974, Shermco has become North America’s largest and fastest growing NETA-accredited electrical testing organization. Our focus is to make sure electrical power systems are functioning properly and safely. Additionally, our Professional Engineering Group, Rotating Machinery Division, Renewable Energy Services, and Field Repair and local Repair Service Centers, places Shermco in a position to handle all things electrical, all done with an emphasis on safety and client service.

TERRITORY ACCOUNT MANAGER

Due to continued growth, we are seeking a Territory Account Manager. Shermco is ISO certified, a member of EASA, AWEA, PEARL and is accredited by NETA, PEV, SKF & ANAB. Shermco Industries is a founding member of NETA and has one of the largest field services divisions in the industry.

Minimum Qualifications

• Bachelor's degree preferred or equivalent education & experience in Engineering or related field. This is desired, not required.
• 3+ years of successful outside B2B sales experience, preferably in an engineering, industrial or heavy commercial industry. Preference given to candidates with a successful sales track record in a power related industry, preferably from the high-voltage (480 VAC to 345 kV) electrical equipment testing & maintenance industry, including electrical field Services, field commissioning & acceptance testing, engineering in general including Arc Flash, Coordination Studies, transient studies, load flow analysis and general power engineering, and small scale electrical T&D or Substations construction projects.
• Demonstrated ability to be self-directed and highly motivated.
• Availability to travel weekdays throughout the geographic account territory.
• Strong interpersonal, communication, written and oral presentation skills and solid understanding of profitability and other financial measurements.
• Strong sales skills including and effective negotiation skills, ability to successfully interact with key customer decision makers and influencers, and ability to prospect new customers and forecast future business.
• Must be able to demonstrate technical knowledge and consultative skills.
• Required overnight travel up to 20% of the time.
• Basic computer skills with the following software: Excel, Word, Adobe, Microsoft Outlook.

Job Responsibilities and Expectations:

• The primary role of this position will be to provide account management/sales targeting industrial, utility generations, data center, hospitals, and electrical contractors to sell Shermco’s full line of electrical testing, maintenance, repair & engineering services.
• Perform direct sales and business development activities which contribute to the growth and retention of business so as to meet or exceed targeted sales goals.
• Qualify prospective sales opportunities to determine which opportunities to pursue.
• Accountable for attaining yearly multi-million dollar sales budgets
• Identify, develop and implement sales strategies.
• Assist in the preparation of estimates, sales proposals, and sales presentations.
• Visit assigned account(s) on a regular basis in order to maintain a "strategic relationship" status; identifies necessary account changes and opportunities as quickly as possible.
• Maintain industry knowledge and improve technical knowledge based on market requirements
• Support our key marketing activities necessary to support sales growth in efforts such as, road shows, national conferences, tradeshows, sales trainings, and various sales engagement activities such as trade organizations.
• Manages pricing and channel issues as they arise relating to competitive quotes and cross selling conflicts.
• Support account from sales, securing purchase orders, terms and conditions, and customer relations.
• Perform job walks.
• Be a front line focal point between sales and production to qualify opportunities.
• Be able to support lunch and learns and lead customer discussions.
• Work with Customer Service group to enhance customer’s buying experience.
• Support Shermco training events and trade shows.
• Import sales activity into CRM.

Additional Requirements:

• Must be able to pass a pre-employment drug test and periodic, unannounced random drug tests.
• Must be able to pass a pre-employment criminal background check.
• All offers are conditioned on acceptable results from a background check and drug and alcohol screening.
• Must have a valid driver’s license, and currently have and be able to maintain a good driving record.
• Must be able to travel overnight approximately 5 - 10% of the time to visit customers, prospective customers, and attend trade shows.
• Must be able to drive for extended periods, work at a desk/cubicle on a PC, and visit and tour varying customer sites with or without reasonable accommodations. Must be able to pass a fit for duty physical exam.
• Must be able to fluently read, write, and speak English.

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.

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).