We are looking for an experienced GenAI & Agentic AI Engineer with strong hands-on expertise in Python, AWS, Generative AI, LLMs, Agentic AI, MCP Servers, RAG pipelines, Vector Databases, EKS, and PyTorch. The candidate will be responsible for designing, developing, deploying, and optimizing production-grade AI/LLM solutions, intelligent AI agents, and scalable RAG-based applications on AWS.

The ideal candidate should have strong experience building LLM-powered applications, multi-agent workflows, MCP-based integrations, retrieval-augmented generation pipelines, model inference, and cloud-native AI solutions.

Roles & Responsibilities

- Design and develop Generative AI and Agentic AI applications using Python, LLMs, and up-to-date AI frameworks.
- Build and deploy AI agents and multi-agent workflows capable of planning, reasoning, tool usage, and autonomous task execution.
- Develop and integrate MCP (Model Context Protocol) servers to connect LLMs/agents with enterprise tools, APIs, databases, and external systems.
- Design and implement scalable RAG pipelines, including document ingestion, chunking, embedding generation, retrieval, reranking, and LLM-based response generation.
- Work with Vector Databases for semantic search, knowledge retrieval, and high-performance similarity search.
- Develop and fine-tune AI/ML models using PyTorch and related deep learning frameworks.




- Integrate and optimize LLMs and foundation models for enterprise GenAI use cases, including prompt engineering, evaluation, and inference optimization.
- Develop robust Python-based AI services, APIs, and backend components for production deployments.
- Deploy and manage AI/ML workloads on AWS, leveraging services such as EKS, compute, storage, networking, and security components.
- Build and manage containerized AI applications using Docker and Kubernetes/Amazon EKS.
- Implement scalable, highly available, and secure architectures for LLM, RAG, and Agentic AI solutions.
- Optimize model performance, latency, scalability, resource utilization, and inference costs.
- Implement monitoring, logging, evaluation, and observability for AI applications and LLM-based systems.
- Collaborate with data scientists, ML engineers, software engineers, architects, and business stakeholders to translate requirements into production-ready AI solutions.
- Follow best practices for AI security, data privacy, responsible AI, prompt security, and enterprise governance.
- Troubleshoot and continuously improve AI pipelines, model performance, retrieval accuracy, and agent reliability.

Mandatory Skills:

- Python
- AWS
- Gen AI
- AGENTIC AI
- LLM
- MCP SERVER
- RAG PIPELINES
- EKS
- Vector DB
- PyTorch

Pay: ₹1,000,000.00 - ₹1,600,000.00 per year

Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)

📌 Senior AI/ML Engineer (India)
🏢 Aliqan Technologies
📍 India