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Position Details Role: Senior AI Engineer Agentic AI Experience: 38 years of relevant AI/ML experience Number of Positions: 2 Location: Hyderabad Shift Timings: 2:00 PM 11:00 PM IST Hiring Type: Immediate Job Overview We are looking for a Senior AI Engineer with proven experience in Agentic AI, Large Language Models (LLMs), and advanced NLP systems. The candidate will take end-to-end ownership of multi-agent architectures, from design and development through production deployment and optimization. Key Responsibilities 1. Agentic AI & Multi-Agent Architecture Design and implement agent-based and multi-agent systems using frameworks such as CrewAI, LangGraph, AutoGen, and LangChain Build autonomous agents capable of planning, reasoning, tool usage, and long-running task execution Integrate LLMs with tools, APIs, memory stores, vector databases, and RAG pipelines 2. LLM Development & Optimization Fine-tune and optimize foundation models (e.g., Mistral, Gemini Flash, OpenAI models, AWS Bedrock) Develop advanced prompt strategies and control loops for agent reasoning Build NLP pipelines for summarization, classification, QA, and text generation 3. Production Deployment & Scalability Deploy AI services and agent workflows to production environments Optimize solutions for latency, cost, memory usage, and scalability Collaborate with DevOps and platform teams on CI/CD, monitoring, and reliability 4. Evaluation, Safety & Reliability Implement evaluation frameworks for LLM and agent performance Ensure robustness, observability, and responsible AI deployment Apply AI safety, ethical AI, and governance best practices 5. Cross-Functional Collaboration Work closely with product, research, data engineering, and software teams Translate business requirements into scalable AI solutions Mentor junior engineers and contribute to design reviews 6. Documentation & Knowledge Sharing Maintain detailed technical documentation Communicate system design, trade-offs, and outcomes to stakeholders Required Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields 35 years of hands-on experience in AI/ML or applied NLP Strong proficiency in Python Experience with PyTorch and/or TensorFlow Hands-on experience with LLMs, prompt engineering, fine-tuning, and RAG Practical exposure to agentic AI and multi-agent orchestration Experience building scalable, distributed systems Strong problem-solving and communication skills Preferred / Nice-to-Have Skills Experience with WatsonX, LangChain, AutoGen, LangGraph, CrewAI Cloud platforms: IBM Cloud, AWS, Azure, or GCP Experience with vector databases (FAISS, Pinecone, Weaviate, etc.) Contributions to open-source AI projects Knowledge of AI safety, alignment, and ethical AI principles RequirementsRequired Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields 35 years of hands-on experience in AI/ML or applied NLP Strong proficiency in Python Experience with PyTorch and/or TensorFlow Hands-on experience with LLMs, prompt engineering, fine-tuning, and RAG Practical exposure to agentic AI and multi-agent orchestration Experience building scalable, distributed systems Strong problem-solving and communication skills Preferred / Nice-to-Have Skills Experience with WatsonX, LangChain, AutoGen, LangGraph, CrewAI Cloud platforms: IBM Cloud, AWS, Azure, or GCP Experience with vector databases (FAISS, Pinecone, Weaviate, etc.) Contributions to open-source AI projects Knowledge of AI safety, alignment, and ethical AI 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.