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AI/ML Engineer Location: Ahmedabad, Gujarat Experience: 48 Years Employment Type: Full-time Number of Positions: 2 Job Summary We are looking for an experienced AI/ML Engineer / Core Python Developer to join our team in Ahmedabad. The ideal candidate will have strong hands-on experience in Python development, Artificial Intelligence, Machine Learning, Generative AI, LLMs, and backend development. You will be responsible for developing scalable Python applications and building AI-powered solutions using modern Generative AI technologies. Key Responsibilities Develop and maintain scalable applications and backend services using Core Python.Design and implement AI/ML solutions for real-world business requirements.Build Generative AI applications using LLMs.Develop and optimize RAG (Retrieval-Augmented Generation) pipelines.Work with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar tools.Develop and integrate REST APIs using FastAPI, Flask, or Django.Work with SQL and NoSQL databases for efficient data storage and retrieval.Integrate and work with Vector Databases such as FAISS, Pinecone, or ChromaDB.Collaborate with developers, product teams, and other stakeholders to deliver AI-driven solutions.Write clean, reusable, well-documented, and maintainable code.Perform debugging, testing, optimization, and performance improvements.Support deployment of AI applications in cloud and production environments.Required Skills 48 years of professional experience in Python/backend development.Strong proficiency in Core Python.Hands-on experience with FastAPI, Flask, or Django.Practical experience with Generative AI, LLMs, and Prompt Engineering.Good understanding of RAG architecture and AI application development.Experience with LangChain, LlamaIndex, Hugging Face, or similar AI frameworks.Experience with Vector Databases such as FAISS, Pinecone, or ChromaDB.Strong knowledge of SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB.Experience with Docker and Git.Understanding of at least one cloud platform: AWS, Azure, or Google Cloud.Strong problem-solving and analytical skills.Good to Have Experience developing AI chatbots, virtual assistants, or AI automation solutions.Knowledge of Machine Learning, NLP, and Deep Learning.Experience deploying AI/ML applications or models in production.Familiarity with model APIs and modern AI/ML development practices.Compensation: 1,000,000.00 - 1,400,000.00 per year Work Location: In person .
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.