Full Stack AI Data Engineer

Cota Capital Gp, LLC
United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Information Engineering Data Infrastructure Python (Programming Language) Cloud Services Next.js Salesforce.Com Software Engineering SQL Databases
+11 more
ReactJS Large Language Models Snowflake Apache Spark Fastapi Pyspark Apache Kafka Machine Learning Operations Restful APIs Databricks Microservices

Job description

You’ll design modern data platforms, build scalable APIs, integrate Large Language Models and deliver production-grade AI applications that solve real business problems., You’ll play a key role in designing, building and deploying enterprise AI solutions, taking ownership from architecture through to production. Working as part of a highly collaborative engineering team, you’ll build scalable Python services using FastAPI, develop modern data platforms with Snowflake, dbt and Spark, create production AI solutions using RAG, AI Agents and LLMs, and deploy cloud-native applications into AWS. You’ll also work closely with clients and stakeholders to shape technical solutions and make key architectural decisions.

Requirements

We’re looking for engineers with strong commercial experience across Python, FastAPI, REST APIs and Microservices, alongside modern Data Engineering technologies including Snowflake, dbt, Spark/PySpark, Airflow and SQL. You’ll have built production AI applications using RAG, AI Agents, LLM integrations, tool calling and evaluation frameworks, with experience deploying scalable cloud solutions on AWS (preferred), Azure or GCP.

You’ll have a strong software engineering mindset, be comfortable designing scalable architectures, and enjoy solving complex technical problems. Experience with Next.js or React, LangGraph, LangChain, vector databases, Databricks, Kafka, MLflow, Salesforce or ERP/CRM integrations would be beneficial but isn’t essential.

Benefits & conditions

  • Fully Remote (UK-based)
  • Outside IR35
  • Long-term contract with multiple hires planned
  • Work on cutting-edge enterprise AI projects using the latest technologies
  • Highly autonomous engineering culture with end-to-end ownership
  • Opportunity to help shape next-generation AI products for global organisations

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Career evolution in data engineering and AI platforms

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Connecting frontends via a FastAPI proxy backend layer

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Harnessing Spark with Python using PySpark and Py4J

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Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Introduction to the fast API web framework

Sebastián Ramírez · World Congress 2022

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Scaling machine learning pipelines from prototypes to petabytes

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