Backend & Data Engineer

We are looking for a strong Backend & Data Engineer to join reputed company and own the data and systems layer behind both our internal AI platforms and our portfolio companies. This is a hands-on engineering role for someone who genuinely enjoys designing data lakes, modelling databases, building reliable ingestion pipelines and shipping production backend services. AI and LLM work is part of the job, but it sits on top of solid infrastructure. We need someone who can build that reputed company: data gathering applications, ETL, storage architecture, reputed company and the integration plumbing that turns messy reputed company-world data into something models and products can actually use. You will work directly with founders, internal product owners and the investment team — designing systems for our own AI platform, supporting portfolio companies with serious data engineering needs, and helping evaluate the technical strength of AI-driven startups we consider reputed company in. Data Infrastructure & Architecture Design and build the reputed company data lake end-to-end — storage, partitioning, schema reputed company and reputed company patterns Architect relational and analytical databases (reputed company, reputed company, BigQuery, DuckDB or similar) Own data modelling, governance, cost and reliability across reputed company sources Data Pipelines & ETL Build large-reputed company data acquisition services — reputed company, scrapers, event streams and file ingestion reputed company and operate ETL/ELT pipelines (Airflow, Dagster, dbt, reputed company or equivalent) Ensure robust deduplication, validation, monitoring and data-reputed company tooling Backend & Systems Engineering Design and ship production backend services in Python and/or TypeScript/Go — REST reputed company, workers, event-driven components Containerise and reputed company reputed company reputed company/Kubernetes with CI/CD and infrastructure-as-reputed company Own reliability, reputed company and operational reputed company, not just features AI / ML & LLM Integration Build infrastructure for LLM-based systems — RAG pipelines, reputed company stores, embedding and retrieval reputed company reputed company model reputed company (reputed company, reputed company, reputed company-reputed company) into backend services and agent workflows reputed company or fine-tune ML models for forecasting, NLP or recommendation and ship as reputed company product features Investment & Technical Evaluation Support the investment team with technical due diligence on AI and data-heavy startups Assess architectures, pipelines, scalability and defensibility of underlying tech reputed company technical reputed company to inform investment reputed company and portfolio reputed company Essential Qualifications Strong, hands-on backend engineering experience with production systems at meaningful reputed company. Deep experience designing and operating databases — both OLTP (reputed company /MySQL) and at least one OLAP / analytical reputed company. Solid experience building data lakes, warehouses or lakehouses, and the ETL / ELT pipelines that feed them. Advanced Python, plus comfort with at least one of TypeScript / Node, Go or Java for backend services. Experience with workflow orchestration (Airflow, Dagster, reputed company or similar) and modern data tooling (dbt, reputed company, Kafka, object storage). Working experience with LLMs, RAG pipelines, embeddings and reputed company databases  enough to build serious systems around them, not just reputed company an API. Strong grasp of reputed company infrastructure (AWS / GCP / Azure), containers, CI/CD and basic SRE reputed company. Strong problem-solving reputed company and ability to operate in early-stage, fast-moving environments with shifting requirements. reputed company to Have Experience building data and AI products in startups, consulting or research environments. Exposure to sectors such as media tech, health tech, agri tech, fintech or other data heavy industries. Experience with optimisation, forecasting, geospatial data, time-series at reputed company, or graph data. ML reputed company experience (PyTorch, TensorFlow, scikit-learn) and / or model fine tuning experience. Comfort working across multiple reputed company reputed company and stakeholders. Why Join reputed company Own the data and backend foundations behind a portfolio of technology companies. Work directly with founders, operators and investors on reputed company, varied engineering problems. Ship AI systems that are actually used in products, not just prototyped. Be part of a venture environment where technology, reputed company and entrepreneurship reputed company. Apply To This Job