Full Stack AI Data Engineer

Cota Capital Gp, LLC
2 days ago

Role details

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

Job location

Remote

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Information Engineering
Data Infrastructure
Python
Cloud Services
Next.js
Salesforce
Software Engineering
SQL Databases
React
Large Language Models
Snowflake
Spark
FastAPI
PySpark
Kafka
Machine Learning Operations
REST
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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