Senior Agentic AI Developer

Key Responsibilities

• Design and implement agentic AI systems with planning, memory, and tool orchestration
• Build and maintain multi-agent architectures for collaborative problem solving
• Integrate LLMs with APIs, databases, vector stores, and enterprise platforms
• Develop agent reasoning pipelines (ReAct, tree-of-thought, reflection loops, etc.)
• Optimize prompt engineering, system instructions, and tool schemas
• Ensure reliability, observability, and evaluation of AI agent outputs
• Establish guardrails, safety constraints, and monitoring mechanisms
• Collaborate with infrastructure teams to define AI strategy

Required Experience/Skills/Certs/Education

• Core AI & Agentic Systems
• Strong experience with large language models (OpenAI, Anthropic, open-weight models)
• Experience building agent frameworks using tools such as:LangGraph / LangChain, AutoGen, CrewAI
• Custom agent orchestration systems
• Deep understanding of Prompt engineering, Tool calling / function calling, Multi-agent coordination patterns
• Experience with RAG pipelines and vector databases (e.g., Pinecone, Weaviate, FAISS)
• Senior-level proficiency in Python and/or Powershell
• Strong software architecture and system design skills
• API integration
• Monitoring & logging

Required Experience

• 5+ years of professional software engineering experience
• 2+ years working with LLM-based systems or AI applications
• Demonstrated experience building production AI agents (not just prototypes)
• Experience collaborating with and mentoring peers

Additional Provisions

• PASS both a client mandated clearance process to include drug screening, criminal history check and credit check.
• All candidates must be a US Citizen
• Candidate must have lived in the US for the past 5 years
• Cannot have more than 6 months travel outside the United States within the last five years
• Military Service excluded. (Exception does not include military family members.)