Key Responsibilities :

- Design, develop, and deploy AI/ML and GenAI solutions in production environments.

- Build and optimize Agentic AI systems, LLM-powered applications, and recommendation engines.

- Develop scalable AI architectures, APIs, and model versioning frameworks.

- Implement distributed training, model evaluation, and performance optimization techniques.

- Collaborate with cross-functional teams to deliver high-performance AI solutions.

Required Skills :

- Strong programming expertise in Python, C++, Java, or Scala.

- Hands-on experience with LLMs, RAG, Agentic AI, PyTorch, and TensorFlow.

- Experience with LangChain, LangGraph, Hugging Face, and OpenCV.

- Familiarity with cloud platforms: Azure, AWS, or GCP.

- Knowledge of GPU Computing tools such as CUDA, Rapids, and NeMo.

- Experience building production-grade AI systems, Microservices, and APIs.

Good to Have :

- Neo4j, Knowledge Graphs

- Spark, Kafka, Redis, Elasticsearch

- Docker, Kubernetes, GitHub Actions, Terraform

- Experience with Real-Time AI/GenAI Systems and Responsible AI

Preferred Qualifications :

- Experience in Agentic AI, Reasoning Systems, Digital Twins, or Decision Intelligence.

- Strong communication and stakeholder management skills.

- Ability to thrive in a fast-paced, innovation-driven environment