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Job Description We are looking for a Agentic AI Developer with hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responsesenabling energetic, goal-driven behavior. Key responsibilities Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI that can plan, reason, and execute tasks iteratively. Integrate and fine-tune LLMs (e.g., GPT, Claude, LLaMA) for use in agent workflows, including prompt engineering and retrieval-augmented generation (RAG). Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback. Enable agents to interact with external systems (e.g., APIs, databases, web apps) to perform actions autonomously. Use tools like LangSmith, Grafana, and Splunk to monitor agent behavior, performance, and reliability. Work closely with data scientists, architects, and product teams to align agentic solutions with business goals. Ensure all solutions are well-documented and comply with data privacy and security standards. Technical Skills Languages: Python (mandatory), JavaScript, C# (optional) Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Hugging Face Transformers LLMs: GPT-4, GPT- 4o, Claude, LLaMA, Mistral, Gemini Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate Cloud Platforms: Azure (OpenAI, ML Studio), AWS (Bedrock, SageMaker), GCP (Vertex AI) DevOps & CI/CD: Git, Azure DevOps, Docker, Kubernetes Monitoring Tools: LangSmith, Grafana, Splunk Other Tools: Streamlit, FastAPI, Flask for UI/API development Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science, or related field 25 years of experience in AI/ML development, with at least 12 years in Gen AI or Ag .
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The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.