Senior GenAI EngineerAbout the Role : We are looking for a Senior GenAI Engineer with robust experience in building and delivering production-grade AI and Generative AI applications. The role involves designing end-to-end AI solutions, leading technical implementation, and mentoring teams while working closely with business and engineering stakeholders.We are hiring for two domain-specific tracks : - BFSI Track - AWS : Strong hands-on experience in BFSI/Banking/Financial Services along with AWS-based AI/GenAI deployments is mandatory.- HCLS Track - Azure : Solid hands-on experience in Healthcare/Life Sciences (HCLS) along with Azure-based AI/GenAI deployments is mandatory.Key Responsibilities : - Lead the implementation and delivery of AI and Generative AI applications.- Design end-to-end AI systems using commercial and open-source tools.- Build and deploy LLM, RAG, and Agentic AI solutions for enterprise use cases.- Translate business requirements into scalable AI-driven solutions.- Collaborate with data engineering teams to ensure data quality, governance, and smooth data flows.- Define reference architectures, technical roadmaps, and best practices for AI applications.- Design and manage data ingestion pipelines, model training environments, CI/CD, and monitoring systems.- Use cloud services and containerization to deploy and scale AI systems.- Ensure scalability, reliability, security, and maintainability of AI solutions.- Provide technical mentorship and conduct knowledge-sharing sessions.Requirements : - 4+ years of experience in AI, Machine Learning, GenAI, or related roles.- Strong hands-on experience building AI agents using LangGraph, AutoGen, or CrewAI.- Strong proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch,



or Keras.- Solid understanding of Deep Learning and NLP, including Transformers, RNN, CNN, and LSTM.- Hands-on experience with RAG, LLMs, vector databases, prompt engineering, and Agentic AI.- Strong experience with REST APIs, GraphQL, microservices, distributed systems, and event-driven architectures.- Experience with message brokers such as Kafka or RabbitMQ.Domain & Cloud Requirements - Mandatory : BFSI Track - AWS : - 2 - 3+ years of hands-on BFSI/Banking/Financial Services domain experience.- Experience working on BFSI use cases such as banking, payments, lending, insurance, risk, fraud, wealth management, or financial operations.- Strong hands-on experience with AWS for AI/GenAI deployments.- Experience with services such as AWS Bedrock, SageMaker, OpenSearch, S3, Lambda, EKS/ECS, or equivalent AWS AI services is preferred.HCLS Track - Azure : - 2 - 3+ years of hands-on HCLS/Healthcare/Life Sciences domain experience.- Experience working with healthcare providers, payers, health insurance, clinical, claims, or life sciences use cases.- Strong hands-on experience with Microsoft Azure for AI/GenAI deployments.- Experience with services such as Azure OpenAI, Azure AI Search, Azure ML, AKS, Azure Functions, and Azure Storage is preferred.Good to Have : - Docker, Kubernetes, and CI/CD tools such as Jenkins or GitLab.- SQL and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.- Infrastructure as Code using Terraform or CloudFormation.- Hands-on experience with Hugging Face, OpenAI APIs, LLaMA, and other LLM platforms.- Experience with MLOps / LLMOps, model training, fine-tuning, and model evaluation.- Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK.- Experience deploying production-grade GenAI/Agentic AI applications at enterprise scale. (ref:hirist.tech)

📌 Ascendion - Agentic AI Developer - GenAI (Chennai)
🏢 Ascendion
📍 Chennai