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, APIs 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 investing in. Data Infrastructure & Architecture Design and build the RAW Ventures 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-scale data acquisition services — APIs, scrapers, event streams and file ingestion reputed company and operate ETL/ELT pipelines (Airflow, Dagster, dbt, Spark or equivalent) Ensure robust deduplication, validation, monitoring and data-quality tooling Backend & Systems Engineering Design and ship production backend services in Python and/or TypeScript/Go — REST APIs, workers, event-driven components Containerise and reputed company reputed company reputed company/Kubernetes with CI/CD and infrastructure-as-code Own reliability, reputed company and operational quality, not just features AI / ML & LLM Integration Build infrastructure for LLM-based systems — RAG pipelines, vector stores, embedding and retrieval layers Integrate model APIs (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 strategy

Essential Qualifications

Strong, hands-on backend engineering experience with production systems at meaningful scale. 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, Prefect or similar) and modern data tooling (dbt, Spark, Kafka, object storage). Working experience with LLMs, RAG pipelines, embeddings and vector databases enough to build serious systems around them, not just call an API. Strong grasp of reputed company infrastructure (AWS / GCP / Azure), containers, CI/CD and basic SRE practice. 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 scale, or graph data. ML reputed company experience (PyTorch, TensorFlow, scikit-learn) and / or model fine tuning experience. Comfort working across multiple reputed company projects and stakeholders. Why Join Raw Ventures 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, strategy and entrepreneurship reputed company. Apply To This Job