Python AI Backend Engineer - LLM/RAG
Posted on: 25/07/2025
Job Description
Position name : Python AI Backend Engineer
Experience : 4+Yrs
Location : Pune, Balewadi
Notice Period : Immediate to 30 Days ,Serving notice
Interview Mode : Face to Face on Saturday on 2nd Aug 2025
Key responsibilities :
Description :
We are seeking Python AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service.
In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph.
Understanding of and expertise in :
- Design and implement core Python backend services and APIs for agentic framework and RAG systems
- LLM-based applications using Amazon Bedrock models
- RAG systems with advanced retrieval mechanisms and vector database integration
- Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph
- Design and develop microservices that efficiently integrate AI capabilities
- Create scalable data processing pipelines for training data and document ingestion
- Optimize model performance, inference latency, and overall system efficiency
- Implement evaluation metrics and monitoring for AI components
- Write clean, maintainable, and well-tested code with comprehensive documentation
- Collaborate with multiple cross-functional team members including DevOps, product, and frontend engineers
- Stay current with the latest advancements in LLMs and AI agent architectures
Minimum experience requirements
- 4+ years of total software engineering experience
- Backend development experience with strong Python programming skills
- Experience in ML/AI engineering, particularly with LLMs and generative AI applications
- Experience with microservices architecture, API design, and asynchronous programming
- Demonstrated experience building RAG systems and working with vector databases
- LangChain/LangGraph or similar LLM orchestration frameworks
- Strong knowledge of AWS services, particularly Bedrock, Lambda, and container services
- Experience with containerization technologies and Kubernetes
- Understanding of ML model deployment, serving, and monitoring in production environments
- Knowledge of prompt engineering and LLM fine-tuning techniques
- Excellent problem-solving abilities and system design skills
- Strong communication skills and ability to explain complex technical concepts
- Experience in Kubernetes, AWS Serverless
- Experience in working with Databases (SQL, NoSQL) and data structures
- Ability to learn new technologies quickly
Preferred Qualifications :
- Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track
- Must have familiarity with streaming architectures and real-time data processing
- Must have experience with ML experiment tracking and model versioning
- Must have understanding of ML/AI ethics and responsible AI development
- Experience with AWS Strands Framework
- Knowledge of semantic search and embedding models
- Contributions to open-source ML/AI projects
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Posted By
Sravani Eruvuri
IT recruiter at AKSHAYA BUSINESS IT SOLUTIONS PRIVATE LIMITED
Last Active: 21 Nov 2025
Job Views:
82
82
Applications: 35
Recruiter Actions: 0
Posted in
AI/ML
Functional Area
Data Science
Job Code
1519763
