AI Developer Trainee, Hyd
Pragma Edge Software services private limited
Hyderabad0–2 yrs3h agovia Naukri
This job at a glance
- Who can apply
- Freshers and up to 2 years · Bachelor's degree or Master's degree
- Must know
- NLPLLMsREST APIsAWSETLStakeholder management
- Work
- On-site in Hyderabad
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs51%LLMs48%AWS16%NLP5%of 99 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
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About the Role
- Role: AI Engineer - Agentic AI
- Number of Positions: 4
- Location: Hyderabad
- Shift Timings: 2:00 PM - 11:00 PM IST
- Requirement Type: Immediate
Job Overview
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
- 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.
- 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.
- Data Engineering & Processing:
- Preprocess and analyze large-scale datasets.
- Collaborate with data engineering teams on scalable data pipelines.
- Evaluation & Optimization:
- Implement evaluation metrics.
- Optimize models for performance, latency, and scalability.
- Collaboration & Research Integration:
- Partner with research, product, and engineering teams.
- Stay current with advancements in LLMs, agentic architectures, and AI safety.
- Documentation & Communication:
- Maintain technical documentation for models and agent workflows.
- Present findings to both technical and non-technical stakeholders.
Requirements & Tech Stack
- 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.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
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.