Forward Deployed Engineer - AI & Agentic Engineer
Core
Build and iterate production-grade agentic AI applications and generative AI features for complex customer engagements, translating business challenges into technical solutions.
Role type
Senior IC agentic AI engineer
Builds
Agentic workflows, RAG pipelines, and LLM API integrations for enterprise clients
Domain
Enterprise IT, Generative AI, Agentic Systems
Deliverable
production ML models
Required skills
Python (FastAPI), Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, Google Agent Development Kit), MCP (Model Context Protocol), RAG/LLM pipelines, Vector databases, Relational and graph databases (Postgres, Neo4j), Docker, AI coding copilots
Preferred skills
Observability instrumentation (OpenTelemetry, Prometheus), AI/ML frameworks (TensorFlow, PyTorch), Image understanding and OCR, Policy-as-code (OPA/Rego), LLM governance, Legacy application modernization
Technologies
FastAPI, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, Google Agent Development Kit, MCP, Postgres, Neo4j, Docker, OpenTelemetry, Prometheus, TensorFlow, PyTorch, Hugging Face
Responsibilities
Translate business challenges into agentic AI applications and generative AI use cases; Build and iterate AI applications including agentic workflows and RAG pipelines; Process unstructured data into structured knowledge including ontology extraction; Write production-grade Python services with solid engineering practices; Work with relational and graph databases to model and serve data; Work closely with platform engineering on deployment and MLOps/LLMOps; Define AI governance and responsible-use guardrails; Instrument AI applications for observability; Guide clients through legacy modernisation into AI-enabled workflows; Capture deployment learnings and share best practices; Contribute code, reusable agentic patterns, and feedback to core platform teams
Seniority
Senior, hands-on IC