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:

1. 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

2. 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

3. 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

4. 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

5. 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

6. Documentation & Knowledge Sharing

- Maintain detailed technical documentation
- Communicate system design, trade-offs, and outcomes to stakeholders

Required Qualifications:

- Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields
- 3-5 years of hands-on experience in AI/ML or applied NLP
- Robust 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

📌 AI Engineer (Hyderabad)
🏢 Pragma Edge Software Services
📍 Hyderabad