Full-Time Python Backend Developer – RAG & OpenAI (5-8 Yrs)

Winzons

India

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

AIMLEAP is seeking an experienced backend engineer to design, develop and scale Generative AI and LLM-powered applications. You will build REST and GraphQL APIs, microservices, and RAG pipelines, integrating various LLMs into production platforms.

The role demands strong deployment and observability practices, plus collaboration with data scientists and product teams. Ideal candidates have 5–8 years of backend experience, proficiency in Python/Node.js/Java, cloud familiarity (AWS/Azure/GCP), and

Qualifications

5–8 years of backend software development experience.
Hands-on with distributed systems and scalable architectures.
Strong backend programming in Python, Node.js or Java.
Experience building Generative AI and LLM-powered apps.
Familiarity with OpenAI/Azure OpenAI or open-source LLMs.
Knowledge of Prompt Engineering and RAG pipelines.
Experience with vector databases and REST/GraphQL APIs.
Cloud and DevOps practices, including Docker and Kubernetes.

Responsibilities

Design, develop, and maintain scalable backend services for Gen AI apps.
Build and integrate REST/GraphQL APIs and microservices.
Implement and optimize RAG pipelines and vector search.
Integrate multiple LLMs into production systems.
Oversee prompt orchestration, context management, and AI workflows.
Develop data processing and retrieval systems for AI apps.
Optimize performance, latency, and infra costs; ensure security.
Collaborate with Data Scientists, ML Engineers, and Product teams.

Skills

Backend development

Distributed systems

Python

Node.js

Java

LLM integration

Prompt engineering

RAG pipelines

Vector databases

REST APIs

GraphQL

Microservices

Docker/Kubernetes

Cloud platforms (AWS/Azure/GCP)

Education

B.E./B.Tech./M.Tech. in CS/IT or related field

MCA or related technical masters

Bachelor's or Master's in CS/IT

Tools

OpenAI / Azure OpenAI

Pinecone/Milvus/FAISS/ChromaDB

PostgreSQL/MySQL

MongoDB/DynamoDB/Redis

CI/CD tooling

Job description

Company: AIMLEAP

Location: Ahmedabad, Gujarat

Job Type: Full-Time

Work Mode: Work from Office

Experience Required: 5–8 Years

Number of Openings: 2–4

Education: B.E., B.Tech., M.Tech., MCA, Computer Science, or Related Field

Notice Period: Immediate Joiners Preferred

What We Are Looking For

5 – 8 years of hands‑on experience in backend software development and distributed systems.
Strong expertise in Python, Node.js, or Java for backend application development.
Hands‑on experience building and deploying Generative AI and LLM-powered applications.
Experience working with OpenAI, Azure OpenAI, Anthropic, Gemini, or open‑source LLMs.
Strong understanding of Prompt Engineering, Prompt Chaining, Function Calling, and Agentic AI workflows.
Experience implementing Retrieval Augmented Generation (RAG) pipelines and contextual AI systems.
Hands‑on experience with vector databases such as Pinecone, Milvus, FAISS, ChromaDB, or similar platforms.
Strong experience designing and developing RESTful APIs, GraphQL APIs, and microservices architectures.
Experience working with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, DynamoDB, or Redis.
Hands‑on experience with AWS, Azure, or Google Cloud Platform.
Strong experience deploying and managing applications using Docker, Kubernetes, and containerized environments.
Experience building CI/CD pipelines and implementing DevOps best practices.
Good understanding of AI/ML workflows, model lifecycle management, monitoring, and observability.
Experience implementing authentication, authorization, API security, rate limiting, and compliance controls.
Strong debugging, performance optimization, and problem‑solving skills.
Ability to work independently and manage multiple development initiatives simultaneously.
Candidates should be based in Ahmedabad or willing to relocate to Ahmedabad, Gujarat.
Prior experience in AI, SaaS, Software Product, or Data Engineering organizations is highly preferred.

Responsibilities

Design, develop, and maintain scalable backend services for Generative AI and LLM-powered applications.
Build and integrate REST APIs, GraphQL APIs, and microservices to support AI‑driven platforms.
Implement and optimize Retrieval Augmented Generation (RAG) pipelines and vector search architectures.
Integrate OpenAI, Azure OpenAI, Anthropic, Gemini, and open‑source LLMs into production applications.
Design and manage prompt orchestration, context management, and AI workflow automation.
Develop scalable data processing and retrieval systems for AI applications.
Optimize AI application performance, latency, reliability, and infrastructure costs.
Build and maintain integrations with vector databases, SQL databases, and NoSQL systems.
Deploy, monitor, and scale applications using cloud‑native technologies and containerized environments.
Implement security, compliance, authentication, authorization, and API governance best practices.
Collaborate closely with Data Scientists, ML Engineers, Product Teams, and Frontend Developers.
Participate in architecture discussions, code reviews, technical documentation, and engineering best practices.
Monitor AI workloads and implement observability frameworks including logging, metrics, and alerting.
Continuously evaluate emerging Gen AI technologies and recommend improvements to existing systems.

Qualifications

Educational Qualification

Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related field.

Experience