Full Stack AI Engineer

Motion Recruitment Partners LLC.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Django
Python
Node.js
Large Language Models
Multi-Agent Systems
Backend
FastAPI
Api Design
Data Pipelines
Databricks

Requirements

  • 4+ years of backend or full stack engineering experience
  • Strong proficiency in Python (FastAPI, Django) or Node.js
  • Experience with Bedrock and MCP
  • Experience working with LLMs and frameworks like LangChain or LlamaIndex
  • Hands-on experience building APIs and scalable services
  • Experience with cloud platforms (AWS preferred) including Lambda, ECS, S3
  • Familiarity with vector databases and embeddings (Pinecone, Weaviate, etc.)
  • Experience building or maintaining data pipelines

Desired Skills & Experience

  • Experience with RAG pipelines and AI orchestration workflows
  • Knowledge of Databricks or large-scale data processing tools
  • Exposure to AI observability tools (LangSmith, W&B, etc.)
  • Experience working in consulting or client-facing environments
  • Familiarity with multi-agent systems or advanced AI workflows

Benefits & conditions

Tech Breakdown

  • 50% Backend Engineering & API Development
  • 30% AI/LLM Systems & Integration
  • 20% Data Pipelines & Infrastructure

Daily Responsibilities

  • 70% Hands-on
  • 20% Team Collaboration
  • 10% Architecture & Design

The Offer

  • Bonus eligible

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance
  • Flexible Time Off (FTO)
  • Paid parental leave

About the company

A leading AI-focused digital agency is hiring a Full Stack AI Engineer to build and scale enterprise-grade AI solutions. This full-time opportunity is based in the U.S. (remote flexibility available) and focuses on developing LLM-powered systems, backend APIs, and data pipelines using modern technologies like Python, AWS, and vector databases. This is a unique chance to work on real-world AI deployments inside complex enterprise environments, not experimental projects. The team is looking for an engineer who thrives in high-impact, high-ownership environments and wants to shape how AI gets embedded into customer platforms at scale. You'll gain exposure to cutting-edge AI frameworks, collaborate closely with cross-functional teams, and play a key role in delivering production-ready solutions that drive measurable business outcomes.

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