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.
ESSENTIAL 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
Preferred:
Experience with vector databases (OpenSearch, pgvector) and embedding models
Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service
KEY DUTIES AND RESPONSIBILITIES
Essential Duties and responsibilities include the following. Other duties may be assigned.
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.
EDUCATION AND EXPERIENCE
Bachelor’s degree in Computer Science, Data Science, Mathematics, or related STEM field and minimum 5+ years relevant experience. Masters degree preferred.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to perform successfully the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job.
Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers printers and light traffic.
EOE including Disability/Vet
The estimated pay range for this role is $100kto $125k, with the final offer contingent on location, skillset, and experience.
CNI offers a comprehensive benefits package that includes:
Medical
Dental
Vision
401(k)
Family Planning/Fertility Assistance
STD/LTD/Basic Life/AD&D
Legal-Aid Program
Employee Assistance Program (EAP)
Paid Time Off (PTO) – (11) Federal Holidays
Training and Development Opportunities
Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).
#INDREMOTE
Skills Required
- 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.
- Bachelor's degree in Computer Science, Data Science, Mathematics, or related STEM field and minimum 5+ years relevant experience.
- Experience with vector databases (OpenSearch, pgvector) and embedding models.
- Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service.
What We Do
Canadian National Railway Co. engages in rail and related transportation business. Its services include rail, intermodal, trucking, supply chain services, business development, and maps & network. Its offers their services in automotive, coal, fertilizer, food & beverages, forest products, dimensional loads, grain, metals & minerals, and petroleum & chemicals industries.
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