Python GenAI Engineer

2 days ago

Pune, Maharashtra, India Evnek Technologies Pvt Ltd Full time

Job Title: 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

Generative AI Development

  • 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 (RAG) 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.

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