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Staff / Senior AI Engineer About the Role We are looking for an experienced Staff / Senior AI Engineer to drive the technical vision and hands-on execution of next-generation AI capabilities within a fast-scaling, product-led platform. In this role, you will bridge the gap between cutting-edge LLM research and robust, production-grade engineering—building intelligent systems, agentic workflows, and scalable AI infrastructure used by millions. Key Responsibilities AI Architecture & Systems: Design, build, and deploy production-grade LLM pipelines, RAG architectures, and agentic workflows embedded directly into the core product ecosystem. Technical Leadership: Lead complex AI engineering projects from concept to deployment, setting best practices for prompt engineering, context management, fine-tuning, and model evaluations. Performance & Scale: Optimize model inference latency, reduce API costs, and build high-throughput microservices capable of supporting enterprise-level AI usage. Observability & Reliability: Implement robust testing, observability, and evaluation frameworks (e.g., monitoring hallucinations, drift, and accuracy) to maintain enterprise-grade reliability. Cross-Functional Collaboration: Partner closely with product managers, UX designers, and platform engineers to turn complex user problems into seamless, AI-driven solutions. Tech Stack & Skills Preferred Languages: Python, TypeScript / Node.js, Go, or Java AI Frameworks: LangChain, LlamaIndex, AutoGen, Semantic Kernel, vLLM Models & APIs: OpenAI, Anthropic, Hugging Face, Open-Source LLMs (Llama, Mistral) Data & Vector Stores: Pinecone, Qdrant, Weaviate, Pgvector, Redis Infrastructure: Docker, Kubernetes, AWS / GCP, Terraform, CI/CD pipelines Requirements Proven track record as a Senior or Staff Engineer delivering AI/ML models into live production environments at scale. Deep understanding of modern GenAI architectures (Transformers, RAG, AI Agents, Fine-tuning vs. Context-Retrieval). Strong foundational software engineering skills (clean code, system design, microservices, distributed systems). Passion for mentoring junior/mid-level engineers and shaping the technical strategy of an engineering organisation.
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.