Agentic AI Developer

About the Role

Agentic AI Developer

Key Responsibilities

• Architect, build, and deploy

  LLM-driven agents

  that can plan, reason, and execute multi-step workflows.
• Work with

  agent orchestration frameworks

  (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.).
• Develop and maintain

  tools, APIs, and connectors

  for extending agent capabilities.
• Implement

  RAG pipelines

  with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.).
• Optimize prompts, workflows, and decision-making for

  accuracy, cost, and reliability

  .
• Collaborate with product and engineering teams to design

  use-casespecific agents

  (e.g., copilots, data analysts, support agents).
• Ensure

  monitoring, security, and ethical compliance

  of deployed agents.
• Stay ahead of emerging trends in

  multi-agent systems and autonomous AI research

  .

Required Skills

• 35 years of professional experience in

  AI/ML, software engineering, or backend development

  .
• Demonstrated

  hands-on experience

  in building agentic AI solutions (not just chatbots).
• Proficiency in

  Python

  (TypeScript/JavaScript is a plus).
• Direct experience with

  LLM APIs

  (OpenAI, Anthropic, Hugging Face, Cohere, etc.).
• Strong knowledge of

  vector databases

  and

  embeddings

  .
• Experience integrating

  APIs, external tools, and enterprise data sources

  into agents.
• Solid understanding of

  prompt engineering and workflow optimization

  .
• Strong problem-solving, debugging, and system design skills.

Nice to Have

• Experience with

  multi-agent systems

  (agents collaborating on tasks).
• Prior contributions to

  open-source agentic AI projects

  .
• Cloud deployment knowledge (

  AWS/GCP/Azure

  ) and MLOps practices.
• Background in

  reinforcement learning or agent evaluation

  .
• Familiarity with

  AI safety, monitoring, and guardrails

  .

What We Offer

• Work on

  cutting-edge AI agent projects

  with direct real-world impact.
• Collaborative environment with strong emphasis on

  innovation & experimentation

  .
• Competitive salary and growth opportunities.
• Opportunity to specialize in one of the

  fastest-growing areas of AI

  .