Key Responsibilities:

- Design, develop, and deploy GenAI and Agentic AI applications.
- Build AI agents using LangGraph, AutoGen, CrewAI, or similar frameworks.
- Develop RAG-based applications, LLM solutions, and multi-agent systems.
- Translate business requirements into scalable AI solutions.
- Work with engineering and data teams to deliver production-ready solutions.
- Deploy and scale AI applications using cloud, Docker, Kubernetes, and CI/CD.
- Ensure scalability, security, reliability, and maintainability of AI solutions.

Requirements:

- 7 years of experience in AI/ML, with strong hands-on experience in GenAI/LLM/Agentic AI.
- Strong proficiency in Python.
- Hands-on experience with RAG, LLMs, prompt engineering, embeddings, and vector databases.
- Experience with LangGraph, AutoGen, CrewAI, or similar Agentic AI frameworks.
- Experience with OpenAI, Azure OpenAI, LLaMA,



Anthropic, or similar LLM platforms.
- Strong experience in developing and deploying production-grade AI applications.
- Valuable understanding of APIs, microservices, cloud, and distributed systems.

Domain & Cloud Experience Mandatory:

- HCLS: Healthcare / Life Sciences domain experience with Azure is mandatory.
- BFSI: Banking / Financial Services / Insurance domain experience with AWS is mandatory.
- Experience in both HCLS BFSI with Azure AWS will be an added advantage.

Good to Have:

- MLOps / LLMOps experience.
- Docker, Kubernetes, CI/CD.
- Kafka / RabbitMQ.
- Terraform / CloudFormation.
- Experience with AI monitoring and observability.

📌 Ascendion - Senior AI Developer - GenAI/Agentic AI (India)
🏢 Ascendion
📍 India