Role & responsibilities

Job Description:
Serve as a senior member of an agile team to design and deliver trusted, market-leading technology products in a secure, secure, and scalable way.
Lead and execute critical technology solutions across multiple technical areas within various business functions.
Partner with other technology teams on LLM and GenAI projects, including prompt engineering and RAG pipelines.
Collaborate with Data Science and Cybersecurity to deliver ML products, including model deployment, monitoring, and compliance.
Work with DevOps engineers to plan, automate, and deploy data storage and processing systems using best-in-class CI/CD and IaC practices.
Execute creative software solutions, design, development, and advanced technical troubleshooting.
Develop secure, high-quality production code; review and debug code written by others; enforce code quality and security standards.
Stay abreast of the latest advancements in AI, GenAI, and cloud technologies and drive their integration into production.

Technical Skills (All Must Be Evidenced):
Advanced Python programming (minimum 4 years, with code samples or project links)
Proven experience building and operating scalable ML-driven products (must provide project details and references)




Hands-on experience in both Azure and AWS (minimum 2 years each, with evidence of live deployments)
Experience in highly regulated environments (BFSI, healthcare, or similar; must provide client/project references)
Proficient in all aspects of SDLC (including secure coding, code review, automated testing, and CI/CD)
Terraform, IaaC experience (must provide details of real-world infrastructure automation)
Experience with large-scale cloud-native architectures (microservices, serverless, container orchestration)
Microservices performance tuning, optimization, real-time applications (must provide metrics or case studies)
Azure and AWS Certifications (minimum one Qualified-level certification in either cloud; both preferred)
Experience with GenAI/LLM frameworks (LangChain, HuggingFace, OpenAI API, etc.) is a solid plus

Experience Level:
5+ years applied experience in software engineering and ML-driven product development (minimum 2 years in GenAI/LLM projects)
2+ years in BFSI, Asset & Wealth Management, or other highly regulated environments

Domain/Industry:
Asset & Wealth Management, BFSI, or highly regulated environments (must provide evidence)

📌 Python Software Developer Karnataka
🏢 Tekskills
📍 Karnataka