- 4-7+ years in solution architecture or technical leadership roles
- Proven delivery of enterprise-scale AI/ML or GenAI projects
- Experience working with BFSI , Risk , Compliance , Regulatory , or Data Governance initiatives is highly desirable
- Programming Fluency: Proficiency in at least two programming languages. Strong preference for Python , with significant experience in JavaScript/Typescript and Golang being highly valued
- Scalable Solutions: Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
- Generative AI Expertise:
- Solid theoretical and practical understanding of Large Language Models (LLMs) , transformers , agentic frameworks , vector stores , and advanced search algorithms
- Experience with relevant GenAI/ML frameworks such as LangChain , LangGraph , MLFlow , Spring AI , Spring Boot , and Flask
- Data & Database Proficiency:
- Extensive experience with data analysis and manipulation using tools like SQL and Pandas
- Proficiency in database technologies including Oracle , Postgres , or MongoDB
- API & Integration:
- Proven experience in designing and implementing robust REST and WebSocket APIs
- Experience with messaging and integration platforms like Kafka or JMS/MQ
- Frontend Development: UI development skills with technologies such as React JS or Streamlit
- Production AI/ML/GenAI: Demonstrated ability to design, develop, and deploy AI/ML/GenAI solutions into production environments
- Experience with ML Ops principles and tools is a significant advantage
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