Sr AI Engineer - 3-8Yrs - Hyderabad

• 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
  

• 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
  

• 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
  

• 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
  

• Implement evaluation frameworks for LLM and agent performance
  
• Ensure robustness, observability, and responsible AI deployment
  
• Apply AI safety, ethical AI, and governance best practices
  

• 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
  

• Maintain detailed technical documentation
  
• Communicate system design, trade-offs, and outcomes to stakeholders
  

• 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
  

• 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

• 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
  

• 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