Job Description
The role involves integrating AI tools into core credit, risk, and transaction workflows, building scalable systems, defining technical roadmaps, and mentoring engineers to drive AI-enabled productivity.
Key Responsibilities :
– Architect, develop, and maintain backend and data systems for credit pipelines, risk engines, and transaction workflows.
– Integrate AI agents, LLMs, and prompt-based tooling to accelerate engineering delivery.
– Lead end-to-end delivery : problem framing, design, coding, deployment, monitoring, and iteration.
– Mentor engineers, enforce code quality, and foster technical ownership across the team.
– Collaborate with Product, Credit, Risk, and Compliance teams to ensure regulatory-compliant solutions.
– Implement CI/CD pipelines, DevOps best practices, observability, and AI-driven automation.
Required Qualifications & Experience :
– B.Tech / M.Tech in Computer Science or equivalent technical discipline.
– 3+ years of experience in backend or full-stack engineering; 4+ years in high-throughput or fintech systems.
– Proficiency in Golang (preferred), Python, Java, or Node.js.
– Experience with cloud platforms (AWS, GCP, OCI), SQL/NoSQL databases, event streaming, Kubernetes, serverless architectures, and data pipelines.
– Proven track record of delivering reliable, scalable, and secure production systems under tight deadlines.
– AI-first mindset with applied experience in LLMs, AI agents, or prompt engineering in real workflows.
Preferred Skills :
– Fintech/NBFC experience (credit, KYC/AML, compliance frameworks).
– Startup-ready : thrives in high-growth, ambiguous environments with strong ownership and bias for action.
– Strong communication, mentorship, and leadership abilities.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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