Full-Stack AI Engineer

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python PyTorch TensorFlow React Node.js Docker Kubernetes SQL

FULL DESCRIPTION

Full-Stack AI Engineer at [Employer hidden — sign up to reveal] (Remote, Full-time)

We are hiring a highly technical and execution-focused Full-Stack AI Engineer to build and deploy production-ready AI-powered applications. This role bridges full-stack software engineering, AI/ML integration, scalable infrastructure, and user-facing product development.

Responsibilities

  • Deploy and integrate OpenAI models, Hugging Face models, fine-tuned LLMs, PyTorch/TensorFlow models
  • Build scalable inference APIs using FastAPI, Flask, Node.js
  • Develop AI copilots, chatbots, AI assistants, intelligent workflows
  • Implement embeddings, vector search, RAG pipelines, semantic retrieval systems
  • Work with Pinecone, Weaviate, FAISS, vector databases
  • Build ETL/ELT pipelines for text, image, and structured data
  • Automate preprocessing, labeling, transformations, versioning
  • Orchestrate workflows using Airflow, Prefect, Dagster
  • Manage datasets in Snowflake, BigQuery, Redshift
  • Build modern front-end interfaces using React, Next.js, Vue
  • Develop AI-powered user experiences: dashboards, assistants, analytics tools, AI workflows
  • Design backend services and microservices
  • Containerize applications with Docker, deploy into Kubernetes environments
  • Build CI/CD pipelines for application releases, model deployments, infrastructure updates
  • Monitor latency, cost, uptime, model drift using MLflow, Weights & Biases, Vertex AI, SageMaker, Kubeflow
  • Implement secure APIs, authentication, permissions, access controls, rate limiting
  • Ensure compliance with GDPR, HIPAA, SOC 2
  • Work closely with product teams, data scientists, engineering teams

Required Experience & Skills

  • 3+ years experience in software engineering, AI engineering, or ML-integrated systems
  • Strong Python skills: PyTorch, TensorFlow, AI tooling
  • Strong JavaScript/TypeScript skills: React, Node.js, frontend frameworks
  • Experience deploying AI/ML models into production
  • Experience with APIs, vector databases, RAG pipelines, embeddings
  • Strong SQL and cloud data warehouse experience
  • Experience with Docker and cloud infrastructure

Nice-to-Have

  • AI-powered SaaS product development
  • LLM fine-tuning and custom model workflows
  • MLOps and model lifecycle management
  • Microservices and serverless architectures
  • Cost optimization for AI inference workloads
  • Experience with Vertex AI, SageMaker, Kubeflow, LangChain, AI agents
  • Startup or high-growth product experience

Interview Process

  • Initial Phone Screen
  • Video Interview with [Employer hidden — sign up to reveal] Recruiter
  • Technical Assessment
  • Client Interview(s) with Engineering Team
  • Offer & Background Verification
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