Position Details

- Role: Senior AI Engineer - Agentic AI

- Experience: 3-8 years of relevant AIML experience

- Number of Positions: 2

- Location: Hyderabad

- Shift Timings: 2:00 PM - 11:00 PM IST

- Hiring Type: Immediate

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.

Key Responsibilities

- 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 CICD, 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

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 AIML or applied NLP

- Solid 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 Nice-to-Have 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

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