Position Details • Role: Senior AI Engineer – Agentic AI • Experience: 3–8 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 • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields • 3–5 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 Requirements Required Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields • 3–5 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