AI Engineer

Chickasaw Nation Industries, Inc.•VA Home Office, VA

10d•$100,000 - $125,000•Remote

About The Position

AI Engineer will design and deliver AI based solutions for a web based workflow application for the Federal Government. You will learn customer business workflows, refine business use cases that can leverage AI enablement and build cutting-edge AI solutions that directly result in productivity increase, enhanced user experience and cost savings. You will work with cross-functional teams to develop AI-enabled features, build Proof of Concept (POC) for agentic solutions and translate it into Production Ready systems. You will utilize latest AI tools to develop AI chatbots, Agentic workflows, intelligent dashboards and application assistants. Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.

Requirements

The ability to obtain, maintain and access classified information at the client level.
5+ years of experience with software implementation across all aspects of the SDLC
1+ years hands-on experience developing generative AI / LLM-powered applications
Expert-level proficiency in Python; strong JavaScript proficiency
Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Bedrock)
Experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts)
Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar
Experience with RAG architectures, agentic patterns, and vector databases
Strong understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering, NLP)
Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn, or equivalent)
Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP)
Proficiency with Git version control and CI/CD pipelines
Strong written and verbal communication skills

Nice To Haves

Experience with vector databases (OpenSearch, pgvector) and embedding models
Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service

Responsibilities

Design and develop AI-enabled features for web-based workflow applications using LLMs, GenAI, and agentic AI patterns
Build RAG pipelines using application data, policy documents, user manuals, help cards and business process publications.
Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for AI based application assistants.
Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Bedrock).
Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation.
Establish LLM observability (cost, latency, quality) and responsible AI guardrails (hallucination detection, output validation, CUI safeguards).
Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python and Java)
Address security vulnerabilities and ensure compliance with cybersecurity standards.
Participate in code reviews, CI/CD pipelines, and collaborative development workflows.
Document technical implementations and stay current with AI and ML developments.