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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Eliassen Group - **Location:** Concord, NH, United States (Remote available) - **Experience:** Experienced - **Salary:** $125,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing Security, Computer Engineering, Continuous Integration, DevOps, Iterative and Incremental Development, Python (Programming Language), Machine Learning, Scrum Methodology, Azure Machine Learning, Software Deployment, Software Engineering, Management of Software Versions, Private Cloud Environment, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Information Technology, Machine Learning Operations, Semantic Kernel, AIOps, Data Pipelines, Docker - **Published:** October 1, 2026 - **Apply:** https://dejobs.org/x/x/93E399F2FF5D4F5298CAFEA25424FA75/job/ ## About the Role * Minimum three years of hands-on experience in AI/ML engineering, applied AI development, or software engineering with an AI focus. * Demonstrated experience designing and deploying RAG pipelines including vector databases and retrieval optimization. * Experience building on commercial LLM APIs with prompt engineering, structured outputs, tool calling, and context management. * Advanced proficiency in Python for AI applications, APIs, and data pipelines. * Hands-on experience with Azure AI services and Docker in secure cloud environments. * Proficiency with DevOps and CI/CD using Azure DevOps or equivalent. * Understanding of agentic architectures and frameworks such as LangChain, LangGraph, Semantic Kernel, or Copilot Studio. * Experience in Agile or Scrum with iterative development and rapid POCs. * Familiarity with HIPAA, PHI handling, and healthcare compliance preferred. * PACE program knowledge preferred. * Experience benchmarking LLM providers across accuracy, cost, latency, and safety preferred. * Secondary experience with AWS AI/ML services is a plus. * Strong organizational and communication skills with ability to work independently and prioritize. * Experience working with people from diverse backgrounds and a commitment to serving vulnerable seniors. Education Requirements: * Bachelor's Degree in Computer Science, AI, Computer Engineering, or a related field required. Master's Degree preferred. ## Description * Design, build, and deploy AI-powered applications using enterprise LLMs to meet PACE business requirements. * Architect and implement RAG systems grounded in proprietary data with accuracy, relevance, and compliance. * Own the development lifecycle from ideation and POC through validation, iteration, and production deployment. * Research and build agentic AI workflows using frameworks such as LangGraph, LangChain, or Copilot Studio. * Architect and deploy AI services in private cloud environments, primarily Azure, using secure configurations. * Evaluate and integrate across multiple models based on performance, cost, latency, and compliance. * Implement AIOps and MLOps practices including monitoring, versioning, automated testing, and CI/CD. * Continuously evaluate emerging AI tools and models and recommend improvements. * Work a varied schedule that may include evenings, nights, weekends, and overtime. * Complete required documentation accurately and on time while protecting privacy and confidentiality. * Follow policies and procedures, participate in quality improvement, training, and meetings. * Communicate regularly with the supervisor and team on workload and priorities. * Complete mandated trainings and occupational health screenings on time. * Exercise flexibility as business needs evolve and perform other duties as assigned. ## Related Videos - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)