Agentic AI

Location: Hyderabad
Experience: 8 12 Years
Employment Type: Full-Time

We are seeking an experienced Agentic AI Engineer to design and build autonomous AI systems capable of reasoning planning tool usage memory management and multi-step task execution. The ideal candidate will have strong expertise in LLM-based architectures AI agents orchestration frameworks and scalable backend engineering.

• Design and develop Agentic AI systems using Large Language Models (LLMs).
• Build autonomous workflows involving planning reasoning memory and tool orchestration
• Develop multi-agent systems and AI copilots for enterprise use cases.
• Integrate LLMs with APIs databases enterprise applications and external tools.
• Implement Retrieval-Augmented Generation (RAG) pipelines and vector search systems.
• Optimize prompts context handling latency and inference costs.
• Develop evaluation frameworks for AI quality safety and reliability.
• Collaborate with product data science and engineering teams to deliver AI-powered solutions.
• Ensure scalability observability and production readiness of AI platforms.
• Stay updated with advancements in GenAI Agentic AI and open-source AI ecosystems.

• 8 years of software engineering experience with strong backend/system design expertise.
• 3 years of hands-on experience in Generative AI and LLM application development.
• Strong proficiency in Python and/or Java.
• Experience with LLM platforms such as OpenAI Claude Gemini or open-source models.
• Expertise in AI orchestration frameworks like LangChain LangGraph CrewAI AutoGen Semantic Kernel or similar.
• Strong understanding of RAG architectures embeddings vector databases and semantic search.
• Experience with vector DBs such as Pinecone Weaviate Chroma FAISS or Milvus.
• Knowledge of prompt engineering AI evaluation and guardrails.
• Experience building APIs and microservices using FastAPI Flask Spring Boot or .
• Familiarity with Docker Kubernetes CI/CD pipelines and cloud platforms (AWS/Azure/GCP).
• Understanding of AI observability monitoring and governance.

• Experience with multi-agent collaboration systems.
• Knowledge of MCP (Model Context Protocol) and AI tool integrations.
• Experience fine-tuning or serving open-source LLMs.
• Familiarity with Neo4j/knowledge graphs and graph-based reasoning.
• Exposure to AI security compliance and responsible AI practices.

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or related field.

• Contributions to open-source AI projects.
• Experience building enterprise-grade AI copilots or automation platforms.
• Certifications in cloud or AI technologies.

• Competitive compensation and performance incentives.
• Opportunity to work on cutting-edge Agentic AI platforms.
• Hybrid/flexible work environment.
• Learning budget for AI certifications and conferences.
• High-impact role in a fast-growing AI engineering team.

I can also create:

• ATS-optimized version
• Startup-style concise JD
• Leadership/Architect-level Agentic AI JD
• GenAI Agentic AI combined JD
• LinkedIn hiring post version
• Naukri/Indeed formatted version
• Skills matrix and interview panel check