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Location: Gota, Ahmedabad (Work from Office) Experience: 23 Years Employment Type: Full-Time Preferred Qualifications - Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. - Experience building and deploying production-grade Generative AI applications. - Familiarity with MCP (Model Context Protocol), AI evaluation frameworks, observability tools, and MLOps. - Contributions to open-source projects, AI research, or technical publications are a plus. Role Objective Design, develop, and optimize cutting-edge Generative AI solutions that solve complex business challenges while delivering scalable, secure, and production-ready AI applications. Key Responsibilities - Design, develop, and deploy Generative AI and LLM-based applications. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines. - Develop AI agents and multi-agent workflows using modern AI frameworks. - Integrate LLMs with enterprise applications, APIs, databases, and external tools. - Fine-tune prompts and optimize model performance, latency, cost, and accuracy. - Develop scalable backend services using Python, FastAPI, or Flask. - Implement vector search solutions using modern vector databases. - Deploy AI applications using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). - Collaborate with Product, Engineering, and Business teams to deliver AI-driven solutions. - Mentor junior engineers through code reviews, technical guidance, and best practices. - Evaluate and adopt emerging AI technologies, frameworks, and research. - Ensure AI solutions follow security, scalability, and performance best practices. Key Skills - Programming: Advanced Python programming and API development. - Generative AI: Robust knowledge of LLMs, Prompt Engineering, RAG, AI Agents, and Agentic AI. - AI Frameworks: Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks. - LLMs: Hands-on experience with OpenAI, Gemini, Claude, Llama, Mist .
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.