Role & responsibilities :
Exp: 6+yrs
Loc: Prim: Hyd, 5 days working
Required Skills
- 68+ years of software/AI/ML engineering experience.
- Expert-level Python programming.
- Strong understanding of async programming, concurrency, task scheduling, and distributed systems.
- Hands-on experience building Agentic AI / autonomous AI systems.
- Robust understanding of LLMs, Generative AI, prompt engineering, and tool/function calling.
- Practical experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.
- Strong experience with RAG, embeddings, vector databases, chunking, retrieval, reranking, and context management.
- Experience implementing agent memory and state management.
- Experience with planning, reasoning, reflection, self-correction, validation, and re-planning.
- Experience deploying AI systems using Docker and Kubernetes.
- Strong experience with Azure, AWS, or GCP; Azure is preferred.
- Experience with MLOps/AgentOps, CI/CD, observability, model/prompt versioning, and production deployment.
- Strong knowledge of AI security, prompt-injection mitigation, guardrails, access control, and secure tool execution.
- Experience integrating AI systems with REST APIs, databases, enterprise applications, and SaaS platforms.
- Working knowledge of SQL/NoSQL databases and event-driven architectures.
Keywords:
Agentic AI, AI/ML Engineer, Generative AI, LLM, LLM Engineer, AI Agents, Autonomous Agents, Python, LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, RAG, Retrieval Augmented Generation, Azure OpenAI, Anthropic, OpenAI, AWS Bedrock, Vector Database, FAISS, Pinecone, Azure AI Search, Embeddings, Prompt Engineering, Tool Calling, Function Calling, Multi-Agent Systems, Agent Memory, MLOps, AgentOps, Docker, Kubernetes, Azure, AWS, GCP, LLM Evaluation, AI Security, Guardrails, Prompt Injection, CI/CD
Interested resource call me on (phone hidden)
[email protected]
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