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We are looking for a Senior AI Engineer with 6+ years of experience who is passionate about building scalable AI solutions. This role is ideal for someone with a strong engineering mindset, hands-on expertise in generative AI, and the potential to grow into an architecture-focused role by contributing to solution design, technical decision-making, and AI best practices. The ideal candidate should have strong hands-on experience with LLMs, RAG, and AI agent frameworks, along with the ability to design, develop, and deliver production-ready AI applications. Key Responsibilities Design and build AI-powered applications using Large Language Models (LLMs). Develop AI workflows and agent-based solutions using LangChain, LangGraph, or similar frameworks. Implement Retrieval-Augmented Generation (RAG) solutions for knowledge-driven applications. Contribute to designing end-to-end AI solution architectures with a focus on scalability, maintainability, and performance. Optimize prompts, context management, memory, and AI workflows for performance and reliability. Collaborate with cross-functional teams to design scalable and maintainable AI solutions. Contribute to technical design discussions, architecture decisions, and engineering best practices. Prepare technical documentation and support the deployment of AI solutions into production. Technical Requirements 6+ years of software development experience with strong proficiency in Python. Hands-on experience with OpenAI, Azure OpenAI, or open-source LLMs. Experience with LangChain, LangGraph, LangSmith, or similar AI agent frameworks. Strong understanding of RAG architecture and AI application development. Experience building and integrating RESTful APIs. Good knowledge of prompt engineering, AI agent development, and LLM optimization. Understanding of scalable application design and production deployment. Strong problem-solving, communication, and collaboration skills. Requirements Added By The Job Poster 1+ years of work experience with LangChain. 1+ years of work experience with LangGraph. 5+ years of work experience with Python (Programming Language). (ref:hirist.tech) .
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.