Generative AI Engineer

Awign Expert; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology firm is seeking an AI/ML Engineer with 2-4 years of experience, focusing on GenAI solutions. The role involves designing advanced systems using AWS cloud services, specifically AWS Bedrock, along with working on multi-agent orchestration and tool-calling workflows. Candidates should have strong backend development skills in Python. This position is based in Bangalore/Coimbatore with a work-from-office requirement, offering a dynamic environment for innovation in AI technologies.

Qualifications

• 2 to 4 years of overall engineering experience.
• Minimum 1 year of hands-on GenAI project experience.
• Strong hands-on experience with AWS Cloud.

Responsibilities

• Design and develop advanced GenAI solutions.
• Build scalable GenAI services using AWS cloud services.
• Develop backend services and pipelines using Python.

Skills

GenAI project experience

AWS Cloud

Multi-agent orchestration

Tools

LangChain

AWS Bedrock

Python

Job description

JOBDESCRIPTION – AI/ML Engineer (2-4 years)

Job location – Bangalore/Coimbatore – Work from Office – 5days

What is the role about?

We are seeking a passionate and skilled Senior GenAI Engineer to join our GenAI organization

This role focuses on building scalable GenAI and Agentic AI solutions using AWS cloud-native services, RAG architectures, and enterprise-grade orchestration workflows. The ideal candidate will have hands‑on experience with LLM-based development, agentic frameworks, and AWS Bedrock.

What you will do

Design & Development

Design and develop advanced GenAI solutions including:

• Retrieval‑Augmented Generation (RAG)
• Agentic AI workflows (single‑agent and multi‑agent systems)
• Tool‑calling and agent‑to‑agent orchestration
• Summarization, text generation, and multimodal use cases

Build scalable GenAI services using:

• LangChain, LangGraph, AgentCore
• AWS cloud services (Lambda, API Gateway, S3, DynamoDB, Step Functions)

Develop backend services and pipelines using Python (FastAPI/Flask).

What you will need to have

Mandatory Experience

• 2 to 4 years of overall engineering experience.
• Minimum 1 year of hands‑on GenAI project experience.

Mandatory Agentic AI experience, including:

• Multi‑agent orchestration
• Tool‑calling workflows
• Agent reasoning and state management

Strong hands‑on experience with AWS Cloud, including:

• Amazon Bedrock
• Lambda, API Gateway, S3, DynamoDB
• Step Functions / Event‑driven architectures (preferred)

Practical experience with:

• LangChain, LangGraph, AgentCore
• Vector databases (Pinecone, Weaviate, Chroma, Milvus)

Technical Skills

• Experience building scalable backend systems and microservices.