Position Details • Role: AI Engineer – Agentic AI • Number of Positions: 4 • Experience: 0–2 years (Agentic AI / LLM-focused experience preferred) • Location: Hyderabad • Shift Timings: 2:00 PM – 11:00 PM IST • Requirement Type: Immediate Job Overview We are looking for an AI Engineer with a strong foundation in Agentic AI and Natural Language Processing (NLP). The role will involve designing, developing, and deploying intelligent systems using LLMs, multi-agent frameworks, and autonomous agents to solve real-world problems. Key Responsibilities 1. Agentic AI & Multi-Agent Systems • Design and implement agent-based architectures using CrewAI, LangGraph, AutoGen, LangChain, or similar frameworks • Build multi-agent workflows for task orchestration, autonomous decision-making, and execution • Integrate LLMs with tools, APIs, and memory systems 2. Model Development & Fine-Tuning • Fine-tune and adapt pre-trained LLMs (e.g., Mistral Large, Gemini Flash, OpenAI models, AWS Bedrock) • Develop NLP solutions for summarization, classification, and text generation • Contribute to internal or open-source model repositories 3. Data Engineering & Processing • Preprocess and analyze large-scale datasets • Collaborate with data engineering teams on scalable data pipelines 4. Evaluation & Optimization • Implement evaluation metrics • Optimize models for performance, latency, and scalability 5. Collaboration & Research Integration • Partner with research, product, and engineering teams • Stay current with advancements in LLMs, agentic architectures, and AI safety 6. Documentation & Communication • Maintain technical documentation for models and agent workflows • Present findings to both technical and non-technical stakeholders Required Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields • Strong programming skills in Python • Experience with PyTorch / TensorFlow • Hands-on experience with LLMs, prompt engineering, and fine-tuning • Exposure to Agentic AI / multi-agent systems • Experience with distributed systems and large-scale data processing • Strong problem-solving and collaboration skills Preferred Skills (Nice to Have) • Experience with WatsonX, LangChain, AutoGen, LangGraph • Cloud exposure: IBM Cloud, AWS, GCP, Azure • Open-source contributions • Experience with RAG and vector databases • Understanding of AI safety, alignment, and ethical AI Requirements Required Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields • Strong programming skills in Python • Experience with PyTorch / TensorFlow • Hands-on experience with LLMs, prompt engineering, and fine-tuning • Exposure to Agentic AI / multi-agent systems • Experience with distributed systems and large-scale data processing • Strong problem-solving and collaboration skills Preferred Skills (Nice to Have) • Experience with WatsonX, LangChain, AutoGen, LangGraph • Cloud exposure: IBM Cloud, AWS, GCP, Azure • Open-source contributions • Experience with RAG and vector databases • Understanding of AI safety, alignment, and ethical AI