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Role Summary Were looking for a highly motivated AI Engineer with 35, good to have years of experience to help us build LLM-powered applications. This role is fully remote and will focus on using tools like LangChain, LangGraph, and open-source LLMs such as Ollama, LLaMA, Mistral, or Phi. You'll contribute to developing document understanding systems, intelligent chat agents, and multi-agent orchestration workflows. What you will be doing: Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots). Work with open-source LLMs using platforms like Ollama and Hugging Face. Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution. Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases. Collaborate with cross-functional teams to ship features to production. Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI. Required Skills 35 years of hands-on experience in AI/ML engineering. Proficient in Python, PyTorch, and Hugging Face Transformers. Proven experience with LangChain and LangGraph for LLM workflows. Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs. Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS). Skilled in backend integration using FastAPI, Docker, and cloud platforms. Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing. Nice-to-Have Experience with LangServe, OpenAI tool/function calling, or agent orchestration. Background in multi-modal AI (e.g., image + text analysis). Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow). Contributions to open-source GenAI projects. Understanding of LLM safety, security, and alignment principles. .
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.