AI Developer Trainee(Fresher) - Hyd

• 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
  

• 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
  

• 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
  

• Preprocess and analyze large-scale datasets
  
• Collaborate with data engineering teams on scalable data pipelines
  

• Implement evaluation metrics
  
• Optimize models for performance, latency, and scalability
  

• Partner with research, product, and engineering teams
  
• Stay current with advancements in LLMs, agentic architectures, and AI safety
  

• Maintain technical documentation for models and agent workflows
  
• Present findings to both technical and non-technical stakeholders
  

• 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
  

• 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

• 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
  

• 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