[Hiring] AI Lead - Delivery & Engineering @Inficare Technologies

Role Description

Own end-to-end delivery of AI-native programs from architecture through production deployment.

• Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent.
• Integrate agent systems with enterprise APIs, ERPs, CRMs, and data platforms.
• Define agent topology: tool routing, memory strategy, state machines, and fallback handling.
• Translate business problems into agent architectures for global CXO-level stakeholders.
• Run discovery workshops, solution reviews, and delivery cadences with client teams.
• Mentor junior AI engineers and raise engineering quality across the delivery team.
• Evaluate new models, frameworks, and tooling continuously.

Qualifications

• Agent Orchestration: LangChain, LangGraph, CrewAI (production-deployed, not conceptual).
• Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, GitHub Copilot.
• RAG & Vector Stores: Chroma, Weaviate, Pinecone.
• LLM APIs: Anthropic, OpenAI, Gemini - prompt design and tool use.
• Languages: Python, TypeScript.
• Observability: LangSmith - tracing, evaluation, debugging agent runs.
• Cloud Platforms: Azure, AWS, or GCP (at least one - deployment, infra, managed services).
• Integration: REST, gRPC, Kafka - enterprise integration patterns.
• Shared Context: Model Context Protocol (MCP), CLAUDE.md.
• CI/CD & DevOps: Git, containers, pipelines.

Preferred Skills

• Experience with Claude Code CLI in team environments (shared context, multi-session flows).
• LangSmith for agent tracing and evaluation pipelines at scale.
• Shipped projects using MCP or similar shared-context tooling.
• QA/testing mindset for non-deterministic agent outputs.
• Background in IT services or consulting.
• Experience with SLMs, fine-tuning, or edge/on-device agent deployment.

Location & Work Model

• Fully remote - open to candidates based on the East Coast or Pacific time zone.
• Travel to client sites required.