Chickasaw Aerospace

Chickasaw Aerospace

AI Engineer

REMOTE, USA · Contract

Sponsorship not specified$100k-$125kDetected 29 days ago
JavaScriptTypeScriptPythonJavaReactNode.jsFull-Stack DevelopmentCode ReviewGitElasticsearchVector DatabasesAWSGCPAzureCloud PlatformsDockerCI/CDRESTMachine Learningscikit-learnPandasNumPyData AnalysisData Science

About the role

  • As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.
  • Work is primarily performed in an office environment.
  • Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.

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).
  • Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python and Java)
  • Document technical implementations and stay current with AI and ML developments.
  • AI Engineer will design and deliver AI based solutions for a web based workflow application for the Federal Government.
  • 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.
  • A portion of our profits is used to support Chickasaw citizens.

Requirements

  • 5+ years of experience with software implementation across all aspects of the SDLC
  • 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
  • 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

Nice to have

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

Compensation

  • The estimated pay range for this role is $100kto $125k, with the final offer contingent on location, skillset, and experience.
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