AI Developer

About the Role

Colonel Finance builds modern finance functions for new-age direct-to-consumer (D2C) brands, partnering closely with founders who are shaping the brands of tomorrow.

The AI Developer will design, build, and deploy AI-driven solutions that enhance financial analysis, forecasting, and operational efficiency for D2C clients. The role involves close collaboration with finance and product teams to translate business requirements into scalable AI applications, as well as maintaining and improving existing AI pipelines.

This is a full-time, on-site position based in the Mumbai Metropolitan Region.

Key Responsibilities

• Design, build, and deploy AI-driven solutions.
• Enhance financial analysis, forecasting, and operational efficiency.
• Collaborate with finance and product teams.
• Translate business requirements into scalable AI applications.
• Maintain and improve existing AI pipelines.

Requirements & Tech Stack

• Strong foundation in Computer Science and Software Development.
• Experience building and deploying production-grade applications.
• Proficiency in Pattern Recognition and Neural Networks for modeling complex data.
• Hands-on experience with Natural Language Processing (NLP) for text analysis, automation, and intelligent reporting.
• Knowledge of machine learning frameworks and languages: Python, PyTorch, TensorFlow, scikit-learn.
• Experience with version control tools: Git.
• Ability to work with large datasets.
• Design data pipelines.
• Use relevant databases and cloud platforms: SQL/NoSQL, AWS, GCP, or Azure.
• Strong analytical and problem-solving skills.
• Ability to explain technical concepts to non-technical stakeholders.
• Experience or interest in finance, D2C brands, or the startup ecosystem is highly beneficial.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

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Specific Roles

Integrations Engineer

You'll build and own the connections between our platform and the systems our clients sell on, ship through, get paid on, and file with.

• Marketplace integrations: seller APIs for orders, settlements, payments, returns, and inventory.
• Compliance integrations: GST portal, e-invoicing (IRN generation), e-way bill, and TDS/TRACES.
• Logistics integrations: Delhivery, Shiprocket, Blue Dart, and similar carriers.
• Payments and accounting: payment gateways and the accounting systems our brands run on.
• The auth layer underneath all of it: OAuth flows, token refresh, encryption at rest, rate limits, and retries.

Requirements

• REST and GraphQL APIs, OAuth 2.0, webhooks, pagination, and bulk report endpoints.
• Rate limits, retries, backoff, and idempotent syncs that survive being re-run.
• Ability to build a reliable path when a platform has no API, or a badly built one.
• Node.js and PostgreSQL.
• Indian marketplace APIs (Amazon SP-API or similar).
• GSTN, e-invoicing, or other statutory APIs.
• Background in fintech, accounting, or e-commerce.

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Code Review, Database & Security Engineer

You'll own code quality, database design, and security across a platform that handles financial data for multiple brands.

• Code review: correctness, error handling, and failure paths, before anything ships.
• Agents and workflows: the logic our reports are built on, and the data that logic writes.
• Database: schema, indexes, query plans, and a clean migration process.
• Access and isolation: row-level security and role-based access on every route.
• Application security: authentication, authorization, secrets handling, and dependency review.
• Tests: placed where they catch real failures, starting with the reconciliation logic.

Requirements

• PostgreSQL depth: schema design, indexing, query plans, and row-level security.
• Application security: OWASP Top 10, authentication and authorization, secrets management, and dependency auditing.
• Confidence reviewing Node.js and React code.
• Ability to audit a codebase you didn't write and rank findings by what actually matters.

Preferred

• Security work on systems handling financial data.
• Multi-tenant SaaS experience.
• Automated testing and static analysis in CI.

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AWS & Production Engineer

You'll own our AWS infrastructure and everything that keeps production reliable as we onboard more brands.

• Scalable architecture: load balancing, auto-scaling, and managed Postgres.
• A job queue: to move long-running reconciliation work off the request path.
• CI/CD: automated deploys, a staging environment, and a clean rollback path.
• Monitoring and alerting: centralised logs, and alerts that fire before a client notices a problem.
• Backups and disaster recovery: tested, not assumed.
• Cost control: infrastructure that stays cheap as it grows.

Requirements

• AWS: EC2, RDS, ALB, auto-scaling, IAM, S3, and CloudWatch.
• Linux administration, nginx, and process management.
• CI/CD pipelines and infrastructure as code.
• Docker, and queue systems for background work.

Preferred

• Terraform.
• Tuning Node.js and Python workloads in production.
• Running production infrastructure for a small team.