Overview About Business Unit: Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using current-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

The Senior

Developer is a builder.

You will write the code behind our AI capabilities: agents, knowledge systems, and analytical applications used by analysts on live client work. This is a small team where the person who designs a component is usually the person who ships it, and where what you build reaches users in weeks rather than quarters. We already run AI agents in production that generate analyst-grade SQL against our analytics environment. You will help extend that foundation into harder territory.

What Youll

Build

- Interpretation. Systems that take the output of an analysis and produce business-relevant interpretation - what the numbers actually mean for a given client and category.
- Client knowledge. A knowledge system that accumulates what the organization understands about each client and makes it retrievable by both people and agents.
- Media Investment planning. Analytical tooling that supports budget allocation and media investment planning decisions.

Responsibilities

- Building Design, build, test, and maintain the applications, agents, and automation that the Account Analytics organization runs on.
- Write clean, reviewed, documented code that another engineer can pick up and extend.
- Build integrations across data platforms, APIs,



internal services, and reporting systems.
- Own components end to end - from design discussion through deployment and the support that follows it.
- AI Engineering Implement LLM-based components: agents, tool interfaces, structured outputs, and the orchestration that connects them.
- Build and run the evaluation harnesses that tell us whether a change improved an agent or merely changed it.
- Non-deterministic systems need tests too, and building them is part of the job rather than an afterthought.
- Implement context and retrieval strategies, and contribute evidence to the decisions about which approach fits a given problem.
- Prototype quickly when a question is better answered by code than by discussion.
- Collaboration - Work with analysts and client teams to understand what a tool has to do before deciding how it will do it.
- Participate substantively in design and code review, as author and as reviewer.
- Contribute to the teams standards and to the documentation that makes them stick.

Qualifications

- 5+ years building and maintaining production software or data applications.
- Strong Python and SQL.
- You have worked in a real codebase with other engineers, not only in notebooks or scripts.
- Hands-on experience building with LLMs - prompting, tool use, agent frameworks, structured output - with something you shipped and can talk through in detail.




- Fluent with Git and collaborative development practice: branching, review, testing, deployment.
- Strong analytical and problem-solving ability, and the instinct to ask what a piece of output means rather than only whether the code ran.
- Clear written communication. Much of this teams collaboration happens in writing and across time zones.
- Bachelors degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related discipline.

Additional Knowledge, Skills and Abilities Preferred Technical Experience

- Agentic development environments - Claude Code, Cursor, GitHub Copilot, or similar - used as a daily working tool.
- Databricks, Greenplum or PostgreSQL, Snowflake, BigQuery, or comparable analytical platforms.
- Retrieval-augmented generation, embedding stores, and context management approaches.
- Cloud platforms (Azure, AWS, GCP) and CI/CD pipelines.
- Evaluation frameworks or testing approaches for LLM applications.
- Tableau, Power BI, or related visualization tools.
- Exposure to marketing measurement concepts - attribution, incrementality, campaign performance analysis.

How You Work

- Strong ownership. You follow a problem through to the point where it stays solved.
- Genuine curiosity about emerging tooling, paired with judgment about when not to use it.
- Comfortable with ambiguity and with asking the questions that resolve it.
- Careful about quality without being precious about your first design.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Developer, Account Analytics Development (Bengaluru)
🏢 Epsilon Data Management
📍 Bengaluru