AI/ML Engineer

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

Full-Stack Developer (Backend-Focused)

We are seeking a seasoned Full-Stack Developer with strong expertise in backend engineering using Python and Golang. In this role, you will take ownership of backend systems while contributing to the development of modern, responsive frontend interfaces. The focus will be on building secure, scalable, and high-performance applications, with emphasis on API development, database engineering, and cloud deployment.

Key Responsibilities

• Develop and enhance backend services using Python frameworks such as Django or FastAPI
• Design, build, and maintain RESTful APIs and microservices
• Work extensively with relational and NoSQL databases, including PostgreSQL, MySQL, and MongoDB
• Collaborate with frontend developers to integrate user-facing elements with backend logic
• Implement efficient, secure, and scalable application architectures
• Troubleshoot and resolve software defects across different environments
• Optimize performance and reliability of backend services
• Write clean, maintainable, and well-tested code following best practices
• Contribute to DevOps activities, including CI/CD pipelines and containerization

Required Skills & Qualifications

• 6+ years of experience in full-stack or backend-focused development
• Strong proficiency in Python with hands-on experience in frameworks like Django or FastAPI
• Solid understanding of SQL and NoSQL databases, including data modeling and query optimization
• Familiarity with modern frontend technologies such as React, Vue, or Angular
• Experience with Docker, Kubernetes, and at least one cloud platform (AWS, Azure, or GCP) is preferred
• Strong understanding of system design, distributed systems, and microservices architecture
• Experience with Git and CI/CD automation pipelines
• Excellent problem-solving skills and ability to work collaboratively

We are looking for a skilled and self-driven Data Engineer to strengthen our data platform and

improve overall data quality, reliability, and usability for customers and internal stakeholders.

This role is critical to building and maintaining scalable data pipelines, well-structured data

models, and analytics-ready systems. The ideal candidate has startup experience, enjoys

building systems from scratch, and takes ownership end to end.

Roles and Responsibilities

● Design, build, and maintain scalable data pipelines and ETL workflows to support

analytics and product use cases.

● Develop and manage data warehousing solutions using platforms like Snowflake,

Redshift, or ClickHouse.

● Ensure data quality, consistency, and reliability across all data sources and downstream

systems.

● Collaborate closely with product, analytics, and engineering teams to understand data

requirements.

● Build and optimize data models for reporting, dashboards, and analytics.

● Support and enable BI tools such as Power BI, Tableau, or Metabase.

● Monitor pipelines, troubleshoot issues, and continuously improve performance.

● Document data workflows, schemas, and processes for clarity and maintainability.

Skills and Qualifications

● Strong proficiency in SQL

● Experience with data warehousing platforms (i.e. Snowflake, Redshift, ClickHouse)

● Hands-on experience with ETL orchestration tools (i.e. Airflow, dbt, Dagster)

● Experience with dashboarding tools (Power BI, Tableau, Metabase)

● Strong programming skills in Python

● AWS experience is preferred

● Self-starter mindset with startup experience

● Strong problem-solving abilities

● Highly organized with a systems-thinking approach

● Ownership-driven and accountable

● Clear and effective communicator

Job Title:Full Stack Developer 

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As a Full Stack Developer, you will be at the foundation of building this intelligent learning ecosystem by connecting the front-end experience, backend architecture, and AI-driven components that bring the platform to life. You’ll own key systems that power the AI Tutor, Simulation Lab, and learning content delivery, ensuring everything runs smoothly, securely, and at scale. This role is ideal for engineers who love building end-to-end products that blend technology, user experience, and real-time intelligence.

Your Core Impact

• You will build the spine of the platform, ensuring seamless communication between AI models, user interfaces, and data systems.
• You’ll translate learning and AI requirements into tangible, performant product features.
• Your work will directly shape how thousands of students experience physics through our AI Tutor and simulation environment.

Key Responsibilities:

Platform Architecture & Backend Development

• Design and implement robust, scalable APIs that power user authentication, course delivery, and AI Tutor integration.
• Build the data pipelines connecting LLM responses, simulation outputs, and learner analytics.
• Create and maintain backend systems that ensure real-time interaction between the AI layer and the front-end interface.
• Ensure security, uptime, and performance across all services.

Front-End Development & User Experience

• Develop responsive, intuitive UIs (React, Next.js or similar) for learning dashboards, course modules, and simulation interfaces.
• Collaborate with product designers to implement layouts for AI chat, video lessons, and real-time lab interactions.
• Ensure smooth cross-device functionality for students accessing the platform on mobile or desktop.

AI Integration & Support

• Work closely with the AI/ML team to integrate the AI Tutor and Simulation Lab outputs within the platform experience.
• Build APIs that pass context, queries, and results between learners, models, and the backend in real time.
• Optimize for low latency and high reliability, ensuring students experience immediate and natural interactions with the AI Tutor.

Data, Analytics & Reporting

• Build dashboards and data views for educators and product teams to derive insights from learner behavior.
• Implement secure data storage and export pipelines for progress analytics.

Collaboration & Engineering Culture

• Work closely with AI Engineers, Prompt Engineers, and Product Leads to align backend logic with learning outcomes.
• Participate in code reviews, architectural discussions, and system design decisions.
• Help define engineering best practices that balance innovation, maintainability, and performance.

Required Qualifications & Skills

• 3–5 years of professional experience as a Full Stack Developer or Software Engineer.
• Strong proficiency in Python or Node.js for backend services.
• Hands-on experience with React / Next.js or equivalent modern front-end frameworks.
• Familiarity with databases (SQL/NoSQL), REST APIs, and microservices.
• Experience with real-time data systems (WebSockets or event-driven architectures).
• Exposure to AI/ML integrations or data-intensive backends.
• Knowledge of AWS/GCP/Azure and containerized deployment (Docker, Kubernetes).
• Strong problem-solving mindset and attention to detail.