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AI Engineer Hyderabad Hybrid Exp: 3+ yrs About the Role We are seeking a skilled and experienced AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying production-grade AI systems and intelligent agent pipelines. You will work at the intersection of software engineering and applied artificial intelligence, building scalable, reliable, and high-performance solutions. Key Responsibilities Design and deploy production-ready Python services powering AI capabilities, leveraging FastAPI for robust API development. Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval use cases. Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing. Integrate and optimize vector databases (Qdrant, Milvus, etc.) for embeddings management, high-speed lookups, and hybrid search functionality. Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production settings. Optimize agent systems for reduced latency, cost efficiency, and horizontal scalability. Required Qualifications 3+ years of total software engineering experience, with a robust foundation in backend development using Python. 12+ years of hands-on experience deploying and maintaining ML/AI systems in production environments (beyond research or proof-of-concept stages). Demonstrated proficiency in Python and software engineering best practices, with a focus on clean, maintainable, and production-quality code. Solid experience with NLP, Retrieval-Augmented Generation (RAG), embeddings, and vector databases such as Qdrant and Milvus. Deep expertise in LangChain and/or LlamaIndex for building agentic AI systems. Solid experience with Langsmith, understanding Evaluation Benchmarking and Tracing Proven experience in prompt engineering and systematic agent testing methodologies. Strong understanding of LLM inference pipelines, both on local infrastructure and cloud platforms. Proficiency with Docker and cloud platforms (AWS, GCP, or Azure). Demonstrated ability to design clean, well-documented APIs and integrate seamlessly with existing backend systems using a microservices architecture. Interested candidates can apply at [HIDDEN TEXT] .
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.