Design adaptable agentic AI architectures that support multiple model providers
Build modular and reusable components for prompting, retrieval, orchestration, tool execution
Integrate LLMs, embeddings, RAG pipelines into production-ready systems
Apply advanced prompting techniques and orchestration frameworks
Design and implement evaluation frameworks to measure correctness and business impact
Optimize models and workflows for cost, latency, and reliability
Develop data pipelines for ingestion and continuous refresh of data
Combine text, audio, vision in unified processing workflows
Leverage vector databases and retrieval optimization techniques
Ensure responsible deployment of agentic AI systems

Requirements

5+ years of experience with software engineering
2+ years of experience in AI or ML-focused roles
Experience with an object-oriented programming language such as Python
Experience designing and implementing production-grade generative or agentic AI applications using LLMs
Experience with AI orchestration frameworks such as LangChain
Knowledge of data processing techniques for AI
Ability to obtain a Secret clearance
Bachelor's degree in a CS or Engineering field

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAIMLLLMsdata processing techniquesorchestration frameworksevaluation frameworksmodular componentsdata pipelinesretrieval optimization

Certifications

Secret clearance