AI Backend engineer

Role: AI Backend Engineer

Function: Engineering / Software Development

Location: Bengaluru

Type: Full-time

Industry: Information Technology & Services, Computer Software, FinTech

About Company

A Bengaluru-based enterprise tech startup founded in 2016. The company builds India's digital trust infrastructure — covering e-signing, e-KYC, eNACH payment automation, and document workflows.

It serves 1,500+ enterprises and 100 million+ users across banking, finance, insurance, and government sectors. The company is RBI-authorised as a payment aggregator and certified for security and compliance.

Co-founded by alumni of Flipkart and Twitter, and backed by investors including Groww and Rainmatter. With a 90-person team, individual contributors here create disproportionate impact.

Position Overview

This role sits within the company's greenfield innovation unit — working directly with Product and Engineering Leadership on a pipeline of AI-enabled enterprise products. You will own features end-to-end across the full stack, translating complex business workflows into production-grade systems that redefine how enterprises operate in an AI-first world. The role includes direct exposure to enterprise customers and periodic involvement in product demos and solution pitches.

Role & Responsibilities

• Map business processes and enterprise customer pain points into scoped engineering problems with measurable outcomes.
• Architect, build, and iterate on MVPs and prototypes across frontend, backend, and infrastructure — from conception through deployment.
• Design microservices for scale, cost efficiency, and performance, with rigorous attention to security and regulatory constraints.
• Build and maintain CI/CD pipelines using containerization and IaC tooling across major cloud environments.
• Integrate and evaluate LLM-driven development patterns, model fine-tuning, and AI tooling within the SDLC.
• Collaborate with internal stakeholders and enterprise customers to validate solutions and drive adoption.
• Read and assess regulatory guidelines (RBI, SEBI, data privacy frameworks) for impact on product features and customer journeys.

Must Have Criteria

• 3–5 years of professional full-stack software engineering experience across backend, frontend, and DevOps.
• Strong CS fundamentals — data structures, algorithms, complexity analysis — demonstrable through system design and trade-off discussions.
• Hands-on experience with microservices architecture, REST API lifecycle management, and interoperable product ecosystems.
• Proficiency in at least one backend language (Python or Java preferred); working knowledge of a frontend framework (React or Angular).
• Experience with deployment pipelines using Docker and at least one cloud provider (AWS, GCP, or Azure).
• Practiced in Test-Driven Development (TDD) with a structured testing approach across unit, integration, and E2E layers.
• Exposure to ML/LLM-driven development — including prompt engineering, LLM API integration, or model fine-tuning workflows.

Nice to Have

• Prior experience in FinTech, digital identity, security, or data privacy domains.
• Experience building and launching customer-facing products from zero to one in a startup or high-growth environment.
• Familiarity with message queue systems such as Kafka, Redis, or RabbitMQ in production workloads.
• Comfort presenting to or demoing products for enterprise customers or non-technical stakeholders at short notice.
• Exposure to regulatory reading — RBI circulars, SEBI guidelines, or DPDP Act — and translating them into product/engineering decisions.

What We Offer

• Direct collaboration with hands-on Engineering and Product Leadership on greenfield, high-visibility projects.
• End-to-end ownership of features — from architecture decisions to customer deployment — with no artificial scope limits.
• Exposure to enterprise customers and real-world regulatory environments across India's financial and identity infrastructure.
• A compact, high-trust team (90 people) where your work ships fast and impacts millions of users directly.
• Opportunity to work at the frontier of AI-enabled enterprise products within a compliance-grade, production environment.