Job Description
About the Role:-
We are seeking a Generative AI Engineer with 2+ years of experience to build and scale production-ready Agentic Systems using Large Language Models (LLMs). You will work on RAG pipelines, agent workflows, evaluation, and deployment of reliable AI systems.
Key Responsibilities:-
-Build retrieval-augmented generation (RAG) pipelines with embeddings, hybrid search, and reranking
-Implement agent orchestration, tool/function calling, and prompt management
-Develop evaluation, monitoring, and observability for LLM systems
-Ensure AI safety, governance, and data privacy best practices
-Optimize performance using caching, batching, and streaming
-Package solutions as APIs/SDKs and deploy using cloud-native tools
Tech Stack:-
-Languages: Python (primary), TypeScript
-Frameworks: FastAPI/Flask, LangChain/LlamaIndex
-LLMs: OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock
-Infra: Docker, CI/CD, Terraform/CDK
-Cloud: AWS / Azure / GCP (any one)
Requirements:-
-2+ years of software or AI engineering experience
-Strong Python and backend development skills
-Hands-on experience with LLMs and cloud deployments
-Understanding of scalable systems and data security
What We Offer:-
-Work on cutting-edge Generative AI products
-High ownership and learning opportunities
-Competitive compensation and growth
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