Data&Backend Engineer (AI-Driven Systems), New York

About You We're looking for an engineer who sits comfortably at the intersection of data engineering and software craftsmanship. You'll work with large-scale geolocation data using analytical and relational databases (e.g. ClickHouse, PostgreSQL), build backend microservices, and contribute to the full data and product layer. AI is not an afterthought here– it's part of how we work and what we build. You'll use AI‑assisted tools as a daily habit and actively contribute to designing and building multi‑agent systems that cut the time it takes our users to reach critical insights. You'll work in a cross‑functional team, close to the product –everyone here shares responsibility for what we ship and how it behaves in production. We move fast and the environment changes constantly, so adaptability matters as much as expertise.

What You’ll Work On

Build and maintain data pipelines and processing workflows for geolocation datasets at scale

Work with analytical and relational databases (e.g. ClickHouse, PostgreSQL)– schema design, query optimisation, and integration patterns

Design and develop backend microservices with FastAPI, integrated into a broader event‑driven architecture

Collaborate closely with product, design, and other engineers in a cross‑functional setup – contributing to product decisions, not just implementation

Write clean, production‑grade Python with attention to code quality, testability, and maintainability

Use AI‑assisted tools actively throughout your daily workflow and contribute to building AI agents and multi‑agent systems that cut the time it takes our users to reach critical insights

What we’re looking for

Strong Python skills– idiomatic, well‑structured code; you care about maintainability and readability, not just getting things to run

Data engineering experience– some hands‑on background with data pipelines, transformations, or working with analytical or relational databases; depth is less important than solid fundamentals

Backend development with FastAPI or similar– experience building and shipping web backend services in Python; FastAPI is a plus but not a hard requirement

Familiarity with event‑driven architectures – understanding of async patterns, message queues, or event streaming (Kafka, RabbitMQ, etc.)

Code quality mindset– you write tests, review code thoughtfully, and think about the next person to work in your codebase

Comfort with change and ambiguity– you don’t need all the answers upfront; you iterate, ask good questions, and keep moving

Openness to AI‑augmented development – you already use AI tooling as a genuine daily productivity multiplier, or you’re actively eager to adopt this approach; we understand this is still a new practice for many engineers and we’re happy to support the journey, but the interest and drive to work this way must be real

Interest in AI agents– exposure to building agentic systems or multi‑agent workflows, or a clear and demonstrated enthusiasm to develop this skill on the job

Product mindset– you engage with the "why" behind the work, not just the "what"; you take ownership of outcomes, not just tasks

Nice to Have

Experience with ClickHouse or other columnar / OLAP databases

Hands‑on work with geolocation or spatial data formats (GeoJSON, H3, PostGIS, etc.)

Familiarity with orchestration tools (Airflow, Prefect, Dagster, or similar)

Experience with LLM APIs and agent frameworks (LangChain, LangGraph or similar)

Your Perks

Working from home– hit your goals from the comfort of your home because we value performance, not the place

Flexible hours– because we promote work‑life balance

Yearly performance bonus– to reward good performance and hard work

Paid medical insurance– because we like to take care of you

Daily lunch allowance– so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day

Sport/Gym allowance– allowance to focus more on yourself, your well‑being, and your health

Udemy unlimited subscription– to promote your learning and development and grow your career

Onboarding plan and training– so that you have a smooth induction and feel confident and ready to take over your new role

Equipment support– so you have all the tools to do effectively and efficiently your work

No dress code– because we want you to be as comfortable as possible

Gifts and rewards– for celebrating birthdays, anniversaries, and personal milestones

Happy hours, coffee time, online team building, company events, and much more– to promote team bonding and of course to have fun

Fresh fruit, snacks, coffee, and tea at the office– because work makes us hungry

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