DE-RCE-Agentic AI Python Developer

Career Family - Risk Assets Technical Developer

Full Time

• Use working experience to amend design (commensurate to functional specifications) and demonstrate hands-on development of product features, with utmost efficiency and optimization of source code
• Wherever needed, challenge status quo for tech stacks, API choices to include most efficient industry practices, balancing the time to market for the product at hand
• Coach and mentor team members technically as needed (including performing code reviews)

• Demonstrate the right-ways of development in all facets of software development (Front end, Back end, APIs , Data layers, 3rd party integrations and AI models) (Lead with Walk the Talk mindset)
• Map functional specifications to product features to ensure coverage and accuracy of product
• Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed

• Perform Techno-functional Testing (QA) for product features getting implemented as per the functional specifications
• Automate testing wherever possible using most feasible approaches (Excel/ VBA or Python or any available tool/s)

• Partner with architects and application teams for secure solution delivery.
• Provide functional support to all phases of delivery (Sprints, Testing, Hypercare etc.)
• Ability to guide and coach junior TAs and testers in the team

• 4-8 years Technical source code development experience, with right mix of design leadership, hands on development and overall technical leadership
• Working experience in
  • Any facet in Risk Domain (Enterprise Risk, Operational Risk, Internal Controls, Internal Audit, Third Party Risk etc. any segment in Risk domain) OR Financial Risk (any domain) OR Banking Capital markets exposure or Wealth-Asset management exposure
  • Deep AI engineering, AI design and AI adoption experience (Vector DBs, Python AI frameworks, RAG models, LLM/SLM, Agentic AI integration, Agentic AI workflows, Agentic AI model ops and pipelines)
  • Back end (Python primary) including API creation (Django or Fast API) , microservices and data integration, Data Structures and Algorithms
  • Cloud and Devops : Working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implement CI/CD pipelines, with version control (Git)
  • Python driven Machine Learning model implementation (ML Ops) and AI model ops
  • Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB)
• Good to have:
  • Front end (Either of Angular, or React or similar)
  • MEAN or MERN stack exposure
  • Node js Exposure
  • BI platforms (PowerBI or alike)

• Certifications: Any of Cloud certifications (Azure preferred but AWS, GCP acceptable)
• AI or ML Certifications
• Working experience in Risk domain