Agentic AI and Data Engineer

What you'll do

• Design and architect modular agentic AI systems that support multiple model providers and deployment modes.
• Build reusable components for prompting, retrieval, orchestration, tool execution, and memory management.
• Integrate LLMs, RAG pipelines, and structured outputs into production-ready systems.
• Develop data pipelines for ingesting, cleaning, and indexing structured and unstructured data.
• Implement evaluation frameworks to measure the correctness, robustness, safety, and business impact of AI systems.
• Optimize models and workflows for cost, latency, reliability, and scalability using systematic benchmarking.
• Deploy AI services securely at scale using AWS, Docker, Kubernetes, or serverless approaches.
• Apply CI/CD and eval-driven development best practices to automate testing and versioning of prompts and agents.

What we're looking for

• Bachelor’s degree in a CS or Engineering field.
• 2+ years of experience with software engineering.
• 2+ years of experience in AI or ML-focused roles in a professional work environment.
• Experience with an object-oriented programming language such as Python for AI/ML solution development.
• Experience designing and implementing production-grade generative or agentic AI applications.
• Experience with AI orchestration frameworks like LangChain, RAG architectures, and asynchronous or event-driven programming patterns.
• Knowledge of data processing techniques for text, audio, and multi-modal data.
• Ability to obtain a Secret clearance.
• Experience with agent frameworks such as LangGraph or MCP (preferred).
• Experience with model fine-tuning, prompt tuning, or reinforcement learning (preferred).
• Experience designing evaluation suites or safety testing frameworks for AI systems (preferred).
• Experience delivering AI solutions in client-facing engagements (preferred).
• Experience with React and modern front-end libraries (preferred).
• Experience with in-browser or edge AI execution and performance optimization (preferred).
• Experience with developer productivity tools such as Cursor and Windsurf (preferred).
• Secret clearance (preferred).
• Master’s degree in CS, AI, or a related field (preferred).
• AWS Machine Learning, Data Engineer, or Solutions Architect Certification (preferred).