Avatar for Instill AI
Make Your Data AI-Ready
  • Early Stage
    Startup in initial stages

Sr. AI Backend Engineer

Reposted: 1 year ago
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Visa Sponsorship

Available

Preferred Timezones
Coordinated Universal Time, Central European Time
RelocationNot Allowed
Skills
Python
Communication Skills
API
Technical documentation
Deep Learning
Microsoft Azure
Go (Golang)
Microservices
AWS
Grpc
TensorFlow
Docker / Docker Compose / Kubernetes
NLP
Serverless
CICD
Databases (SQL and NoSQL)
GCP
PyTorch
MLOps
Generative AI
LLMs
Large Language Models (LLMs)
GenAI
Generative AI (GenAI)
Visual Language Models (VLMs)

About the job

What You’ll Be Doing

As our Senior AI Backend Engineer, you’ll build the core backend infrastructure that powers Instill AI’s AI-native product experiences — from large-scale unstructured data processing to real-time AI agent orchestration.

Build

  • Design and develop high-performance APIs and backend services for AI workflows, including AI agents and model deployment
  • Build robust data pipelines to process large-scale unstructured data (documents, audio, video)
  • Integrate LLMs, VLMs, and other ML models into production-ready, reliable services

Engineer

  • Apply best practices in architecture and infrastructure, including IaC, microservices, serverless, API-first design, and Twelve-Factor principles
  • Ensure system performance, observability, and fault tolerance in distributed environments
  • Work with cloud platforms (GCP, AWS, Azure), Kubernetes, Docker, and modern observability tools

Collaborate

  • Partner with ML engineers, product managers, and designers to deliver end-to-end features
  • Help shape engineering culture, best practices, and long-term architecture

What We’re Looking For

Must-haves

  • 7+ years experience in backend or infrastructure engineering
  • Strong proficiency in Golang (Go)
  • Proven track record building and scaling AI-powered or data-intensive systems (LLMs, RAG pipelines, agent-based architectures)
  • Solid understanding of cloud infrastructure and container orchestration (Kubernetes, Docker)
  • Experience ensuring scalability, resilience, and security in distributed systems

Nice-to-haves

  • Familiarity with ML frameworks and AI agent technologies
  • Knowledge of message queues, zero-trust networking, and serverless architecture

Mindset

  • Systems thinker with a passion for automation and reliability
  • Comfortable in a fast-paced startup environment with frequent releases
  • Excellent communicator with strong documentation skills
  • Customer- and data-obsessed with a high attention to detail
  • Proactive, self-driven, and curious about continuous improvement

What's next

If you're interested, please submit your application here!

About the company

Instill AI company logo
Make Your Data AI-Ready1-10 Employees
Company Size
1-10
Company Type
SaaS
Company Industries
Developer APIs
Company Industries
Intelligent Assistants
  • Early Stage
    Startup in initial stages
Learn more about Instill AI image

Funding

AMOUNT RAISED
$4.2M
FUNDED OVER
2 rounds
Rounds
S
$3600000
Seed - Feb 2023+1

Perks

Learning and Development budget
Computer equipment including MacBook Pro and monitor
Flexible working hours

Founders

Ping-Lin Chang
CEO
London
image
Xiaofei Du
COO • 6 years
London
image
View the team image

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