Description

You will design, build, and scale enterprise-grade Generative AI solutions on AWS.

This role is on-site.

Responsibilities

• Design and develop Generative AI solutions using AWS services including Lambda, Bedrock, MWAA, S3, and DynamoDB.
• Build and optimize Retrieval Augmented Generation (RAG) architectures and integrate vector databases like Weaviate for semantic search.
• Develop and maintain GenAI backend services and MCP servers, working with LLMs such as OpenAI, ChatGPT, Claude, and Ollama.
• Design and deploy containerized microservices using Docker and Kubernetes to ensure scalability, security, and observability.
• Collaborate with cross-functional teams to align AI solutions with business needs and contribute to technical strategy.

Required Skills

• 5+ years of experience in software engineering, specifically in building enterprise AI platforms or middleware.
• Strong programming skills in TypeScript and JavaScript.
• Deep understanding of LLMs, RAG patterns, NLP, and text processing pipelines.
• Hands-on experience with AWS services (Lambda, Bedrock, MWAA, S3, DynamoDB).
• Experience with containerization and orchestration using Docker and Kubernetes.
• Knowledge of vector databases (e.g., Weaviate) and semantic search integration.
• Familiarity with enterprise chat platforms and LLM APIs (OpenAI, Anthropic, Ollama).

Preferred Skills

• Experience with API gateways, authentication, authorization, CI/CD, and MLOps for AI systems.
• Exposure to Chrome Extension development and enterprise-scale system design.

Key Skills

Education

Any Graduate