AI Engineer

Requirements:

• 4+ years of experience in AI/ML, including Deep Learning and Reinforcement Learning.
• Strong Python engineering experience, preferably Python 3.12+.
• Strong hands-on experience with agentic frameworks (LangChain, LangGraph, CrewAI).
• Experience building LLM applications with tool/function calling and structured outputs.
• Hands-on experience with OpenAI APIs or similar model providers such as Gemini, Anthropic, or local models.
• Practical experience of agent frameworks or orchestration patterns, such as Agno, LangGraph, CrewAI, AutoGen, or similar.
• Solid understanding of vector databases(Milvus, Pinecone, Qdrant), graph design, and RAG architectures.
• Experience designing scalable, production-grade AI systems.
• Ability to design robust prompts, agent instructions, guardrails, and evaluation datasets.
• Experience with A2A protocol, AG-UI protocol, MCP, or multi-agent communication systems.
• Experience integrating AI systems with business APIs and databases.
• Strong testing mindset, including unit tests, integration tests, and LLM/agent behaviour evaluations.
• Familiarity with Redis, Postgres, object storage, Docker, and cloud-native deployment basics.
• Good judgment around security, guardrails, privacy, observability, and production reliability.
• Ability to work in ambiguous, fast-changing environments with minimal supervision.
• Experience with Kubernetes, Helm, CI/CD, and production observability.
• Experience with Temporal workflows.
• Strong problem-solving mindset with a bias for action.

Skills

Anthropic, AutoGen, CrewAI, Gemini, LLM, LangChain, LangGraph, OpenAI, Python