AI Engineer - AWS Generative AI & Conversational AI

Role Overview :

We are seeking an AI Engineer with hands-on experience in Generative AI and AWS AI services to design and build intelligent applications such as enterprise chatbots, knowledge assistants, and AI-powered automation solutions. The ideal candidate will have strong Python development skills and experience integrating Large Language Models (LLMs) with enterprise systems using AWS services.

This role will work closely with product, data engineering, and platform teams to develop scalable AI-powered conversational solutions using AWS services such as Bedrock, API Gateway, and Lambda, exposing AI capabilities as secure microservices for enterprise consumers.

Key Responsibilities :

Generative AI Development :

- Design and build AI-powered chatbots and conversational assistants using LLMs.

- Develop solutions using AWS Bedrock models including Anthropic Claude Sonnet.

- Implement Retrieval Augmented Generation (RAG) architectures for enterprise knowledge retrieval.

- Integrate LLMs with enterprise data sources such as databases, APIs, document repositories, and knowledge bases.

AWS AI Platform Development :

- Develop AI applications using AWS Bedrock, SageMaker, Lambda, API Gateway, Step Functions, and S3.

- Build scalable Python-based microservices using FastAPI or similar frameworks.

- Expose AI capabilities as secure APIs through AWS API Gateway for internal and external consumers.

- Implement authentication, rate limiting, and secure API access patterns.

Conversational AI Engineering :

- Design conversational workflows and prompt engineering strategies.

- Manage session context and multi-turn interactions for chatbot applications.

- Implement guardrails to mitigate hallucinations and enforce enterprise policies.

Data & Knowledge Integration :

- Build ingestion pipelines for structured and unstructured data including PDFs, documents, and databases.

- Implement vector search and knowledge retrieval systems using OpenSearch, Pinecone, FAISS, or similar technologies.

AI Operations & Monitoring :

- Monitor model performance, latency, and usage costs.

- Implement logging, evaluation frameworks, and observability for LLM-based systems.

- Continuously improve prompt strategies and retrieval pipelines.

Required Skills :

Core Technical Skills :

- Strong programming experience in Python.

- Experience building APIs using FastAPI, Flask, or similar frameworks.

- Hands-on experience with microservices architecture.