JR AI Agentic Developer

Trillion Technology Solutions • Reston, VA

1d • Remote

About The Position

Junior developer (0–3 years) with hands-on experience designing and shipping agentic AI systems. Fluent with AI-assisted development tooling (Cursor, Claude Code) and comfortable building production Python services. Strong command of core agentic concepts - ReAct loops, plan-and-execute, orchestrator-worker patterns, tool/function calling, short- and long-term memory, and multi-agent handoffs - with the judgment to know when an agent is the right architecture and when a deterministic workflow is. Startup experience and supply chain or ERP domain exposure are significant differentiators.

Requirements

• 0-3 years of experience.
• Hands-on experience designing and shipping agentic AI systems.
• Fluency with AI-assisted development tooling (Cursor, Claude Code).
• Comfortable building production Python services.
• Strong command of core agentic concepts: ReAct loops, plan-and-execute, orchestrator-worker patterns, tool/function calling, short- and long-term memory, and multi-agent handoffs.
• Experience with Agentic Frameworks: LangChain / LangGraph (state graphs, checkpointing, conditional edges, human-in-the-loop) or CrewAI (role-based crews, task delegation, sequential and hierarchical processes).
• Knowledge of Agentic AI Concepts: ReAct, plan-and-execute, reflection, tool calling and schema design, memory management, context-window strategy, guardrails, and agent evaluation.
• Experience with AI Development Tooling: Cursor, Claude Code, MCP servers, prompt iteration and debugging.
• Experience with API Development: FastAPI - async endpoints, Pydantic models, dependency injection, SSE/streaming responses, background tasks.
• Proficiency in Python (async/await, typing, pytest).
• Proficiency with Git.
• Proficiency with Docker.
• Authorized to work in the U.S.

Nice To Haves

• n8n: workflow orchestration, webhook triggers, scheduled runs, integrating agents with external systems and business tooling.
• RAG: chunking strategies, embeddings, hybrid (semantic + keyword) search, re-ranking, citation grounding, retrieval evaluation.
• Vector Databases: pgvector, Pinecone, Qdrant, Weaviate, or Chroma.
• Graph Databases: Neo4j and Cypher; GraphRAG and knowledge-graph-backed retrieval.
• Kubernetes: containerization, Helm charts, deploying and scaling agent services on a cluster.
• Startup Experience: early-stage or small-team background - comfortable with ambiguity, owning a feature end to end, moving from prototype to production quickly, and wearing multiple hats without waiting for process.
• Supply Chain Domain: exposure to supply chain, procurement, logistics, or ERP systems (Oracle, SAP, NetSuite) - understanding of purchase orders, suppliers, inventory, demand planning, and fulfillment workflows.

Responsibilities

• Designing and shipping agentic AI systems.
• Building production Python services.
• Exposing agent workflows as production services using FastAPI.
• Developing and implementing agentic AI concepts such as ReAct, plan-and-execute, reflection, tool calling and schema design, memory management, context-window strategy, guardrails, and agent evaluation.
• Utilizing AI development tooling like Cursor, Claude Code, and MCP servers for prompt iteration and debugging.
• Developing API endpoints with FastAPI, including async endpoints, Pydantic models, dependency injection, SSE/streaming responses, and background tasks.
• Writing Python code with async/await, typing, and pytest.
• Using Git for version control.
• Containerizing applications with Docker.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed