Python Developer

ACL Digital

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

7 days ago
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Job summary

ACL Digital in Bengaluru, India, is hiring a Senior AI Engineer to design and deploy enterprise-grade Agentic AI systems, LLM workflows, and RAG architectures on AWS.

You will build multi-agent orchestration, implement RAG pipelines, and deploy AI microservices using Bedrock, SageMaker, and serverless tools, while developing REST APIs with FastAPI/Flask.

Qualifications

  • 6+ years of professional software development experience in Python.
  • Hands-on experience with LLMs, RAG, and Agentic AI frameworks.
  • Experience architecting cloud solutions on AWS (Bedrock, SageMaker, Lambda, ECS, EKS).

Responsibilities

  • Design multi-agent workflows and autonomous AI agents.
  • Implement advanced RAG pipelines with hybrid search and vector engines.
  • Deploy and manage AI microservices on AWS.
  • Build high-performance REST APIs and microservices using Python.

Skills

Python
LLMs
RAG
Agentic AI
AWS
REST APIs
FastAPI
Flask
LangChain
LangGraph
CrewAI
AutoGen

Tools

AWS Bedrock
SageMaker
ECS
EKS
Lambda
API Gateway
S3

Job description

Hiring: Senior AI Engineer (Python / Agentic AI / LLM / RAG / AWS)

About the Role

We are looking for an experienced Senior Python Developer / AI Engineer with 6+ years of software development experience to design, build, and deploy enterprise-grade Agentic AI systems, LLM workflows, and advanced RAG architectures hosted on AWS cloud infrastructure.

Key Responsibilities

Agentic AI & Orchestration: Design multi-agent workflows and autonomous AI agents using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.

RAG & Search Optimization: Implement advanced Retrieval-Augmented Generation (RAG) pipelines using hybrid search, semantic reranking, graph databases, and vector engines.

AWS Cloud Integration: Deploy and manage scalable AI microservices on AWS using Amazon Bedrock, SageMaker, ECS/EKS, AWS Lambda, API Gateway, and S3.

Backend & API Development: Build high-performance REST APIs and microservices using Python, FastAPI, or Flask.

Key Qualifications

6+ years of professional software development experience in Python.

Strong hands-on experience building production applications with LLMs, RAG, and Agentic AI frameworks.

Practical experience architecting cloud solutions on AWS (Bedrock, SageMaker, Lambda, ECS, CloudWatch).

Solid …etc

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