AI Developer Trainee(Fresher) - 0-2Yrs - Hyd
Posted Updated 1
view
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