GenAI Engineer - AWS

Job title : GenAI Engineer (AWS Bedrock)

Employment type – Contract

Experience : 4+ Years

Work Mode : Remote

Overview

We are seeking an experienced GenAI Engineer to build customer-facing AI solutions leveraging Amazon Bedrock, vector databases, and advanced agentic frameworks. This role involves working directly on client projects to develop production-grade Generative AI applications that solve real-world business problems.

Key Responsibilities

Design and implement GenAI solutions using Amazon Bedrock (prompt engineering, model selection, tuning).

Build and deploy LLM-powered applications with vector databases such as Weaviate for semantic search and retrieval.

Develop agentic workflows and multi-agent systems using Agent Core or similar frameworks.

Write high-quality Python code for ETL processes, API integrations, and application logic.

Collaborate with cross-functional teams to convert business requirements into scalable AI solutions.

Required Skills & Qualifications

Expert-level proficiency in Python and strong software engineering fundamentals.

Hands-on experience with ETL pipelines, API development, and data engineering workflows.

Deep understanding of LLM architectures, RAG pipelines, and prompt engineering.

Proven work experience with Amazon Bedrock and broader AWS AI / ML services.

Strong knowledge of vector databases, especially Weaviate.

Experience building agentic systems and multi-agent orchestration frameworks.

Ability to work independently in a fast-paced, client-driven environment.