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Data & Backend Engineer (AI-Driven Systems)TRG TECH RESEARCH GROUP Limited • New York, New York, United States
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Data & Backend Engineer (AI-Driven Systems)

TRG TECH RESEARCH GROUP Limited
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

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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  • New York, New York, United States

Languages

  • English
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