AI Engineer - Multiple Openings and Multiple Seniority Levels
Chenega Corporation2 years ago
Remote, United StatesMid Level / Senior
Base Salary
$82k - $118k/yr
Responsibilities
- Build, enhance, and support production generative AI applications and web-based AI solutions.
- Develop Python backend services and integrations using Azure OpenAI, Azure AI Foundry, Foundry Agent Service, and Azure services.
- Build RAG pipelines and advanced retrieval systems involving document processing, chunking, embeddings, search, ranking, context preparation, and source citations.
- Implement agent and multi-agent workflows with tool calling, structured outputs, context management, guardrails, execution limits, error handling, and human review.
- Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools.
- Test, evaluate, troubleshoot, and monitor AI applications for retrieval quality, answer correctness, grounding, reliability, latency, cost, errors, and token usage.
- Support deployments and production monitoring, participate in code reviews, document implementation decisions, and collaborate with engineering, architecture, and DevSecOps teams.
Requirements
- Mid-level openings require 3+ years of technical experience, including production software development and support, plus 1+ year of hands-on generative AI development.
- Senior openings require 5+ years of hands-on technical experience and 2+ years of client-facing generative AI solution delivery.
- Experience with Python backend development, asynchronous programming, APIs, FastAPI, Pydantic, or comparable tools is required.
- Hands-on RAG experience and familiarity with document processing, chunking, embeddings, vector or hybrid search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and citations are required as applicable to level.
- Experience implementing agent or multi-agent workflows and using frameworks such as PydanticAI, Microsoft Agent Framework, LangGraph, or Foundry Agent Service is required.
- Experience with Microsoft Azure, including Azure OpenAI, Azure AI Foundry, Azure AI Search, cloud-hosted services, databases, REST APIs, and JSON-based interfaces is required.
- Experience evaluating and troubleshooting LLM applications using test datasets, logs, traces, and monitoring is required.
- Experience with Git, pull requests, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum delivery practices is required.
- A bachelor's degree in computer science, engineering, or a related field is required.
- Senior-level candidates must be able to obtain and maintain a Public Trust or suitability determination when required by the client or contract.
Benefits
- Remote work is permitted for U.S.-based employees.
- Benefits may include paid time off, 11 paid holidays, sick leave for California residents, medical, dental, vision, prescription, disability, life and AD&D insurance, spending accounts, commuter benefits, retirement plans, and voluntary insurance and protection programs.
- The position is contingent on contract award, and final details may change based on the award and approved funding.
Categories
About Chenega Corporation
Chenega Corporation is an Alaska Native village corporation that provides government services contracting, including IT, cybersecurity, healthcare, and security services, primarily for U.S. defense, intelligence, and federal civilian agencies. Through specialized subsidiaries such as Chenega MIOS, it delivers program staffing, managed services, and mission support across the U.S. and abroad. Founded in 1974 and headquartered in Anchorage, Alaska, it is privately held under Alaska Native Claims Settlement Act ownership.