Lead Engineer - Build the core of India's next- gen NBFC engine
Role Overview :
Join us to lead the engineering technology behind our NBFC platform-where AI- augmented workflows become foundational. You'll define the technical roadmap, integrate AI tooling into daily engineering, and build scalable, compliant systems that empower digital lending.
What You'll Do :
- Architect, build, and maintain core backend / data systems for credit pipelines, risk engines, and transaction workflows-using AI tools (e.g. Copilot, Roo, Cursor, prompt- based agents) to accelerate delivery.
- Ship rapidly with AI- powered MVPs; measure product impact, iterate based on feedback, and operationalize high- quality features.
- Own end- to- end delivery : from problem framing through design, code, deployment, monitoring, and iterations.
- Mentor and lead engineers-driving code quality, reviews, ownership, and continuous improvement.
- Collaborate cross- functionally with credit, risk, product, and compliance teams to deliver technical solutions that align with regulatory requirements.
- Implement DevOps best practices, CI / CD pipelines, observability tools, and AI- enabled automation to reduce manual overhead and speed development cycles.
Who You Are :
AI- First Mindset : You've embedded AI agents, LLMs, or prompt- engineering into real product workflows to boost engineering output and impact.Startup DNA / Agency Attitude : You've thrived in high-growth or early-stage environments where scrappiness, bias for action, and taking ownership mattered. You prefer autonomy and high stakes, low resources.Technical Leadership : You bring 7+ years' experience in backend or full- stack engineering (Golang (preferred), Python, Java, Node.js), cloud infra (AWS / GCP / OCI), data pipelines, SQL / NoSQL, event streaming, Kubernetes, Serverless (Lambda / Fargate).Fintech & NBFC Exposure (preferred) : Familiarity with overall credit concepts, KYC / AML, compliance frameworks, and audit-grade software.Communication, Mentorship & Ownership : You clearly articulate tech ideas to non-tech stakeholders, mentor others, and advocate for product and process improvements. Add something on ownershipQualifications :
7+ years in software engineering, preferably in fintech or high-throughput systems with almost 0 error rates.Experience applying AI tools (LLMs, agents, prompt systems) to real development or product workflows.Demonstrated success shipping production-scale systems-scalable, reliable, and secure.Bachelor's or Master's in Computer Science or equivalent; strong system design and architecture skills.Prior work at startups or fast-growth firms where you owned delivery under ambiguity and tight timelines.What We Offer :
A leadership role with significant ownership-shape the tech stack and AI-enabled engineering from day one.Competitive compensation and strong equity upside.Founders- driven culture : low hierarchy, high velocity, high impact.AI- enabled engineering culture : you'll lead adoption of tooling and workflows that redefine productivity.Culture & Fit :
You obsess over impact, not tasks-ship fast, measure fast, learn fast.You challenge assumptions, bring thoughtful critique, and improve engineering and product.You embed quality early-unit, integration, and E2E testing are baked into your delivery process, not tacked on.You take full ownership-find gaps and fix them, without waiting.You love AI tooling, but know to fallback on solid engineering when automation limits effectiveness-avoiding shallow prompt- first culture seen in poorly executed "AI pivots" .You thrive in lean teams, moving fluidly across product, engineering, and operations in a high-pressure, high-velocity startup mindset.Summary :
If you're a founder-like lead engineer who combines AI productivity tools, systemic rigor, and startup velocity, this is a rare chance to shape a fintech platform from the ground up. If that excites you, we'd love to talk.
(ref : hirist.tech)