Full Stack Developer - AI Integration

Full-Stack Developer (AI Integration)

Direct Hire

Washington DC – Hybrid role (2-3 days onsite)

Our client is expanding their AI offerings and needs a full‑stack developer who can design, build, and integrate AI components into customers' existing platforms. You'll work across the stack—C#/.NET services, modern JavaScript front ends, and data integrations—while delivering production‑grade AI features, including customized, agentic AI workflows that call tools, route tasks, and operate safely at scale.

• Design, build, and integrate AI features into customer platforms (web apps, CRMs, ERPs, support systems, custom tools)
• Develop and maintain C#/.NET APIs and services that orchestrate LLMs, tools, and data sources
• Implement agentic AI patterns (tool/function calling, routing/planning, memory, multi‑step workflows) for real business use cases
• Build front‑end experiences in React and/or Angular for prompt UIs, chat/agent consoles, and admin tooling
• Ship robust data integrations (REST/Graph
  
  QL/webhooks), including ETL/ELT for RAG pipelines and system‑to‑system sync
• Implement secure authentication/authorization, audit trails, rate limiting, cost controls, and observability
• Produce clear documentation, deployment guides, and client‑facing enablement; partner with delivery and customer teams

• Professional full‑stack experience building production systems with C#/.NET (5+ years preferred)
• Recent, paid professional experience delivering agentic AI solutions (not side projects), e.g.:
  • Tool/function calling, orchestration, task planning, retries, grounding, and memory
  • Integrations with LLM APIs (e.g., Azure OpenAI/OpenAI/Anthropic/Vertex) in production
• Hands‑on front‑end development with modern JS libraries (React and/or Angular)
• Strong API design/integration background (REST/Graph
  
  QL, webhooks, OAuth/OIDC)
• Data integration experience: building pipelines, transforming/normalizing data, and connecting heterogeneous systems
• Experience building customized AI agents tailored to business workflows and integrating them into existing apps
• Solid software engineering practices: testing, CI/CD, versioning, code reviews, secure coding, documentation

• Python development experience (for AI tooling, data pipelines, or SDKs)
• Understanding of AI models and tradeoffs (context length, token costs, latency, safety, evals)
• Experience with AI frameworks and components:
  Semantic Kernel, Lang Chain, function calling, vector search (e.g., Azure AI Search, Pinecone, Redis, pgvector)
• RAG patterns (indexing, chunking, embeddings, metadata), prompt engineering, evaluation frameworks
• Cloud experience (Azure preferred; AWS/GCP welcome), containers (Docker), and basic Dev Ops