Artificial Intelligence Engineer

Recrew AI; Bengaluru; In loco; INR 900.000 - 1.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Direct collaboration with leadership

End-to-end ownership of features

Exposure to enterprise customers

Regulatory-compliant environment

Descrizione del lavoro

Recrew AI in Bengaluru seeks a hands-on Senior Software Engineer to own features end-to-end in an AI-enabled enterprise product line. You will work with product and engineering leadership on greenfield initiatives, translating complex workflows into scalable, secure systems across the stack.

You will contribute to frontend, backend, and infrastructure, while collaborating with enterprise customers and regulatory considerations in RBI/SEBI contexts.

Competenze

• 3–5 years of professional full-stack software engineering experience across backend, frontend, and DevOps.
• Strong CS fundamentals — data structures, algorithms, complexity analysis.
• Hands-on experience with microservices architecture and REST API lifecycle management.
• Proficiency in Python or Java; working knowledge of a frontend framework (React or Angular).
• Experience with deployment pipelines using Docker and at least one cloud provider.
• Experience with TDD across unit, integration, and E2E levels.
• Exposure to ML/LLM-driven development and model fine-tuning workflows.

Mansioni

• 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.
• Design microservices for scale, cost efficiency, and performance with security/regulatory focus.
• Build and maintain CI/CD pipelines using containerization and IaC tooling across cloud environments.
• Integrate and evaluate LLM-driven development patterns within the SDLC.
• Collaborate with stakeholders and enterprise customers to validate solutions and drive adoption.
• Read and assess RBI/SEBI and data privacy guidelines for impact on product features.

Conoscenze

Full-stack engineering

CS fundamentals

Microservices architecture

REST API design

Python or Java

Frontend framework (React/Angular)

Docker & CI/CD

Cloud deployment (AWS/GCP/Azure)

TDD / testing

LLM integration

Strumenti

Docker

CI/CD tooling

AWS / GCP / Azure

Kafka / Redis / RabbitMQ

Descrizione del lavoro

Function: Engineering / Software Development

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.