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Job Title: Python GenAI Engineer Experience: 58 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.