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.

Positive 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

📌 Coforge - SSenior AI Engineer (India)
🏢 Coforge
📍 India