AI Engineer

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🕒 3 days ago

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Logo of Chickasaw Nation Industries, Inc.

Chickasaw Nation Industries, Inc.

1001 - 5000 employees

Founded 1996

🏛️ Government

🤝 B2B

🚗 Transport

Government • B2B • Transport

Chickasaw Nation Industries, Inc. is a Chickasaw Nation–owned government contracting and commercial company that operates a portfolio of subsidiaries delivering manufacturing and fabrication, technology-based solutions, infrastructure and engineering, transportation, and business services for federal and commercial customers. The company is 8(a) and HUBZone certified, holds ISO 9001 and CMMI-DEV V2. 0 ML3 certifications, employs over 1,500 people across the U. S. , and focuses on integrated solutions for federal operations and commercial manufacturing.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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 • Observance of Federal Holidays

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