AI Engineer

Job Overview AI Engineer will design and deliver AI based solutions for a web‑based workflow application for the Federal Government. Responsibilities include learning customer business workflows, refining use cases, building cutting‑edge AI solutions, developing AI‑enabled features, and translating proofs of concept into production‑ready systems. Key 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 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. Required Qualifications 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 of hands‑on experience developing generative AI/LLM‑powered applications. Expert‑level proficiency in Python and 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 Qualifications Experience with vector databases (OpenSearch, pgvector) and embedding models. Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service. Education Bachelor’s degree in Computer Science, Data Science, Mathematics, or related STEM field and minimum 5+ years relevant experience. Master’s degree preferred. Physical Demands Work is primarily performed in an office environment. Regularly required to sit, use hands to operate a computer, speak, hear, and occasionally stand, walk, and stoop. Must frequently lift and/or move up to 10 pounds and occasionally up to 25 pounds. Specific vision abilities required include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers, printers, and light traffic. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Compensation and Benefits Estimated pay range for this role is $100,000 to $125,000, with the final offer contingent on location, skillset, and experience. Benefits include: Medical, Dental, Vision 401(k) Immediate Vesting Company Life Insurance Short‑Term and Long‑Term Disability Insurance Professional Development Assistance Legal Aid Assistance Program Family Planning / Fertility Assistance Personal Time Off and Observance of Federal Holidays Training and Development Opportunities Equal Opportunity Employer Statement EEO, including Disability/Veteran. CNI is a drug‑free workplace and adheres to the Federal Controlled Substance Act. #J-18808-Ljbffr