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About the Role: Our client is seeking a Senior Python AI Engineer to lead the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. This role requires strong expertise in Python engineering, hands-on experience with LLM-based systems, and the ability to take ownership of end-to-end project delivery while collaborating with cross-functional stakeholders. Key Responsibilities: - Lead the design and development of Python-based AI systems, APIs, and microservices. - Architect and build GenAI and agentic AI workflows using modern LLM frameworks. - Own end-to-end delivery of AI projects from requirement gathering to production deployment. - Design and implement LLM pipelines, prompt workflows, and agent orchestration systems. - Ensure reliability, scalability, and security of AI solutions in production. - Mentor junior engineers and provide technical leadership. - Collaborate with clients to translate business needs into AI solutions. - Drive adoption of latest GenAI tools, trends, and best practices. Required Skills: - 7+ years of experience in Python development with scalable backend systems. - Strong knowledge of frameworks like FastAPI, Flask, Pydantic, SQLAlchemy. - Hands-on experience with LLMs and GenAI tools (OpenAI, Claude, Gemini, etc.). - Experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex. - Expertise in designing multi-agent workflows, prompt pipelines, and tool integrations. - Strong understanding of REST APIs, microservices, and cloud-native architectures. - Experience with cloud platforms (AWS, Azure, or GCP). - Knowledge of MLOps / LLMOps, monitoring, evaluation, and deployment pipelines. - Proficiency with Git, CI/CD, and production systems. - Experience in leading teams and working with enterprise/global clients. Nice-to-Have Skills: - Strong presentation and communication skills. - Experience interacting with non-technical stakeholders. - High ownership and ability to work independently in remote environments. - Strong problem-solving mindset and attention to detail. - Passion for Generative AI and emerging AI Python Engineer, Generative AI, LLM, Agentic AI, LangChain, FastAPI, Microservices, MLOps, Cloud (AWS/Azure/GCP), AI Systems, Backend #AIEngineer #GenerativeAI #LLM #LangChain #AgenticAI #BackendEngineering #MLOps #CloudComputing #TechJobs. Required Skills Proficiency: - Python: Very Important - FastAPI: Very Important - Large Language Models (LLMs): Very Important - MLOps: Very Important - Flask: Important - Microservices: Important - AWS: Important - Git: Important - Generative AI: Good-To-Have - RESTful API Design: Good-To-Have - Cloud Computing: Good-To-Have - Prompt Engineering: Good-To-Have (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.