Generative AI Engineer

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

Skills Required
Docker, Typescript, Flask, Terraform, FastAPI, CDK, Google, Python