Senior AI Engineer (Agentic AI)
- Job Category - IT
- Job Type - Full Time
- Experience - 3–5 years of relevant AI/ML experience
- Job Location - Hyderabad
- No of openings: 02
Job Overview
We are looking for a Senior AI Engineer with proven experience in Agentic AI, Large Language Models (LLMs), and advanced NLP systems. The candidate will take end-to-end ownership of multi-agent architectures, from design and development through production deployment and optimization
Select an element to maximize. Press ESC to cancel.Roles & Responsibilities
Agentic AI & Multi-Agent Architecture
- 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
LLM Development & Optimization
- 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
Production Deployment & Scalability
- 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
Evaluation, Safety & 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
Cross-Functional Collaboration
- 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
Documentation & Knowledge Sharing
- Maintain detailed technical documentation
- Communicate system design, trade-offs, and outcomes to stakeholders
Required Qualifications
- 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
Preferred 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