Python AI Backend Engineer

5 days ago

Pune, India AKSHAYA BUSINESS IT SOLUTIONS PRIVATE LIMITED Full time

Position name : Python AI Backend Engineer

Experience : 4+Yrs

Location : Pune, Balewadi

Notice Period : Immediate to 30 Days ,Serving 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

- - - - - - -
(ref:hirist.tech)

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