[Hiring] AI Engineer @Chenega Services & Federal Solutions

Role Description

Position contingent on contract award - details below are subject to change based on final award.

Come join a company that strives for Extraordinary People and Exceptional Performance!

Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for multiple AI Engineers to join our team supporting the Centers for Disease Control and Prevention (CDC). Multiple openings!

• Mid-level AI Engineers - 2 - salary range: $82,000-92,000
• Senior-level AI Engineer - 1 - salary range: $108,000-118,000

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.

Qualifications

• Mid-level AI Engineer requirements:
• 3+ years of technical experience, including developing and supporting production software applications
• 1+ year of hands-on generative AI development, including RAG-based assistants or chatbots
• Experience with Python backend development, including asynchronous APIs, using FastAPI, Pydantic, or comparable tools
• Experience with Git, code reviews, automated testing, CI/CD, and Agile team delivery
• Experience with Azure, including Azure OpenAI, Azure AI Search, and integration with databases and external services
• Ability to demonstrate agent workflow experience with tool calling, structured outputs, and context management using PydanticAI, Microsoft Agent Framework, LangGraph, Foundry Agent Service, or similar tools
• Ability to conduct LLM evaluation and troubleshooting using test datasets, logs, and traces to assess quality, latency, and cost
• Possession of hands-on RAG experience with document processing, chunking, embeddings, vector or hybrid search, and citations
• Bachelor’s degree in computer science, engineering, or a related field
• Senior-level AI Engineer requirements:
• 5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related technical discipline, including building, deploying, and supporting production applications
• 2+ years of hands-on, client-facing experience building generative AI solutions, including practical delivery of RAG-based knowledge assistants
• Strong Python application development experience, including asynchronous programming, APIs, backend services, and frameworks such as FastAPI and Pydantic or comparable tools
• Hands-on experience with advanced RAG techniques, including document chunking, embeddings, hybrid keyword/vector search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and source citations
• Hands-on experience implementing agentic and multi-agent workflows, including intent-based routing, tool/function calling, structured outputs, context management, and execution limits and error handling
• Experience with at least one agent framework, such as PydanticAI, Microsoft Agent Framework, LangGraph, or a comparable framework, and with Azure AI Foundry Agent Service
• Hands-on experience with Microsoft Azure, including Azure OpenAI and Azure AI Search, and deploying or integrating applications with cloud-hosted services
• Experience with REST APIs, JSON-based interfaces, databases, and external service integrations
• Experience evaluating and troubleshooting LLM applications using test datasets, tracing, and monitoring to assess answer correctness, retrieval quality, latency, and cost
• Experience using modern software-development practices, including Git, pull requests, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum delivery practices
• Ability to obtain and maintain a Public Trust or suitability determination, as required by the client or contract
• Bachelor’s degree in computer science, engineering, or a related field

Requirements

• Final salary determination based on skill-set, qualifications, and approved funding.

Benefits

• Paid Time Off
• PTO / Vacation – 5.67 hours accrued per pay period / 136 hours accrued annually
• Paid Holidays - 11
• California residents receive an additional 24 hours of sick leave a year
• Health & Wellness
• Medical
• Dental
• Vision
• Prescription
• Employee Assistance Program
• Short- & Long-Term Disability
• Life and AD&D Insurance
• Spending Account
• Flexible Spending Account
• Health Savings Account
• Health Reimbursement Account
• Dependent Care Spending Account
• Commuter Benefits
• Retirement
• 401k / 401a
• Voluntary Benefits
• Hospital Indemnity
• Critical Illness
• Accident Insurance
• Pet Insurance
• Legal Insurance
• ID Theft Protection
• Teleworking Permitted? Yes
• Teleworking Details: Remote - US