Senior AI Engineer, Agentic Systems

AI Technology Partners (AITP) is a leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. In this role, you will lead the design and delivery of agentic systems that orchestrate tools, data, and policies to solve real business workflows safely and reliably. You will work closely with enterprise clients to translate their business processes into effective agentic designs.

Responsibilities:

• Design multi-agent architectures with robust state management, memory, and routing
• Choose and implement leading frameworks such as LangGraph/LangChain Agents, Microsoft AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, or Haystack Agents—and justify trade-offs
• Build modular components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains
• Integrate enterprise tools and data sources via function/tool calling, webhooks, and event-driven flows (Queues/Service Bus/Functions)
• Implement retrieval-augmented generation (RAG) patterns with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge (SQL/Graph)
• Add deterministic fallbacks, circuit breakers, and caching to keep latency and cost predictable
• Define SLIs/SLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for run-level analytics
• Create evaluation harnesses (automatic + human-in-the-loop) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task success, safety, and cost
• Productionize with CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-success
• Enforce content and safety policies (redaction, classification, guardrails) with policy-as-code; implement role/tenant isolation and data minimization
• Collaborate with security teams to align to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-ready evidence for agentic workflows
• Build privacy-first patterns (no data exfiltration by default, least-privilege tool access, secure prompt/trace storage)
• Work directly with enterprise client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that lead to production
• Partner with solution leads to create domain-specific agents (e.g., RFP assist, incident RCA drafting, knowledge ops) and reusable templates