Python GenAI Engineer

Evnek; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

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Job summary

A technology firm is searching for a Python GenAI Engineer. This role involves building AI-powered applications and scalable backend systems, requiring strong expertise in Python, generative AI frameworks, and backend services. Candidates with 5-8 years of experience in these areas are preferred. The position is based in Pune and is a full-time opportunity offering a chance to work on cutting-edge technologies. Immediate joiners are encouraged to apply.

Qualifications

• 5-8 years of experience in backend development, specifically in Python.
• Hands-on experience with generative AI frameworks and LLMs.
• Strong skills in testing and performance optimization.

Responsibilities

• Design and develop generative AI solutions using relevant frameworks.
• Integrate observability tools and optimize backend services.
• Build and maintain scalable backend systems for AI applications.

Skills

Python

Backend frameworks (FastAPI, Django, Flask)

Generative AI frameworks (LangChain, LlamaIndex, RAG)

Testing and debugging (Pytest)

Relational databases (PostgreSQL, MySQL)

Asynchronous programming

Tools

Docker

Celery

Job description

Python GenAI Engineer

Experience: 5–8 Years

Location: Pune

Notice Period: Immediate Joiner Only

Position Overview

We are looking for a highly skilled Senior Generative AI / Backend Engineer with strong experience in building AI-powered applications and scalable backend systems. The ideal candidate will have hands‑on expertise in LLMs, Retrieval‑Augmented Generation (RAG), prompt engineering, and Python‑based backend development, with the ability to deliver production‑ready AI solutions.

Key Responsibilities

• Design, develop, and deploy generative AI solutions using frameworks such as LangChain and LlamaIndex.
• Apply advanced prompt engineering techniques to optimize LLM responses across multiple use cases.
• Work with advanced LLM features including prompt optimization, hyperparameter tuning, and response caching.
• Implement Retrieval‑Augmented Generation workflows by integrating vector databases such as Pinecone, Weaviate, Supabase, or PGVector.
• Develop solutions leveraging embeddings and similarity search for intelligent and personalized query resolution.
• Process and analyze multimodal data, including text, images, and video for AI‑driven applications.
• Integrate observability and monitoring tools to track LLM performance, reliability, and quality.

Backend Engineering

• Build and maintain scalable, secure backend services using Python frameworks such as FastAPI, Django, or Flask.
• Design and implement RESTful APIs for seamless system integration.
• Optimize and manage relational databases (PostgreSQL, MySQL) and vector databases for AI workflows.
• Implement asynchronous programming patterns and follow clean coding best practices.
• Integrate third‑party SDKs and APIs to support external system interoperability.
• Develop backend pipelines for multimodal data processing (text, image, and video).
• Manage background and scheduled tasks using Celery, cron jobs, or job queues.
• Use Docker for containerization and reproducible deployments.
• Ensure backend systems are secure, scalable, and production‑ready.

Qualifications

Essential Skills

• Strong proficiency in Python and backend frameworks (FastAPI, Django, Flask).
• Hands‑on experience with generative AI frameworks such as LangChain, LlamaIndex, and RAG architectures.
• Strong understanding of LLMs, embeddings, and similarity search techniques.
• Experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector).
• Experience deploying AI solutions to production using Docker.
• Strong skills in testing, debugging, and performance optimization (Pytest, unit/integration testing).
• Solid understanding of asynchronous programming and concurrent task handling.

Preferred Skills

• Experience with cloud platforms such as AWS, GCP, or Azure.
• Basic understanding of frontend technologies (HTML, CSS, JavaScript; Angular or React is a plus).
• Experience with observability and monitoring tools for real‑time LLM evaluation.
• Awareness of emerging trends in generative AI, multimodal AI, and agent‑based workflows.
• Knowledge of secure coding practices and backend system hardening.
• Relevant certifications in AI, Machine Learning, or Cloud technologies are a plus.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

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