Full-Stack AI Engineer: Backend, Data Pipelines & Cloud

Orbitus; United States; Hybrid; USD 110,000 - 160,000; Full time

Job summary

Orbitus is seeking a production-focused engineer to write code across backend services, AI pipelines, cloud infrastructure and frontend applications, delivering to real users on short cycles.

You will collaborate with the tech lead on Python APIs, AI features, data pipelines, and AWS deployments, focusing on reliability and performance across systems.

Qualifications

• 3+ years building production software, ideally in small teams.
• Strong Python skills with async, typing and testing experience.
• Solid React and modern TypeScript, with API integration experience.
• Practical SQL and data modeling, including caching and background jobs.
• Hands-on AWS and container deployments with monitoring and security in mind.
• Experience shipping ML/LLM features and clear written English for async work.

Responsibilities

• Write production code across backend services and AI pipelines.
• Develop REST/GraphQL APIs with Python frameworks.
• Build data pipelines and ETL, plus integrations with CRM/ERP systems.
• Design relational and vector data models and optimize queries.
• Manage cloud infra on AWS with containerization and IaC.
• Improve observability, reliability, and debug production incidents.

Skills

Python

React

TypeScript

SQL & data modeling

LLM/ML features

AWS & containers

Async & testing

Packaging & performance profiling

Tools

Docker

PostgreSQL

Redis

pgvector

FastAPI/Django/Flask

Job description

Write production code across backend services, AI pipelines, cloud infrastructure and frontend applications, working alongside the tech lead and shipping to real users on short cycles.

What you'll do

• Backend services and REST/GraphQL APIs in Python — FastAPI, Django or Flask — with clean, tested, reviewable code.
• AI features on top of LLMs: prompt and agent orchestration, RAG over client data, embeddings, evaluation, and cost and latency tuning.
• Data pipelines and integrations: ETL jobs, event streams, queues, webhooks and third-party APIs across CRM, telephony, messaging and ERP.
• Relational and vector data models in PostgreSQL, Redis and pgvector, including schema design, indexing and query tuning.
• Cloud infrastructure on AWS: Docker, ECS/EKS or Lambda, S3, RDS and infrastructure as code.
• Observability and reliability: structured logging, metrics, tracing, alerting, and hands-on debugging of production incidents.

You may be a fit if

• 3+ years building and maintaining production software, ideally on small teams shipping quickly.
• Strong Python: async, typing, testing with pytest, packaging and performance profiling.
• Solid React and modern TypeScript, plus comfort with state management and API integration.
• Practical SQL and data modeling; experience with caching and background job processing.
• Hands-on AWS and containers, with real experience deploying, monitoring and securing services.
• Experience shipping LLM or machine-learning features, and clear written English for async work across time zones.

Stack

Python React AWS AI

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