Gen AI Engineer

-Build LLM-powered applications, AI agents, and intelligent automation solutions.

-Develop multi-agent orchestration, planning, tool usage, memory constructs, and task decomposition workflows.

-Utilize frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel.

-Integrate with OpenAI, Azure OpenAI, Anthropic, and other LLM APIs.

-Implement Retrieval-Augmented Generation (RAG) architectures with vector databases (Pinecone, FAISS, Chroma, Weaviate).

-Develop and maintain ML workflows, embeddings, finetuning, and model validation pipelines.

-Design REST/gRPC APIs, microservices, and enterprise integration layers.

-Deploy AI solutions on cloud platforms (Azure preferred; exposure to AWS/GCP) with CI/CD using Azure DevOps, GitHub Actions, or Jenkins.

-Apply secure coding, model governance, and responsible AI principles.--