Senior AI Backend Engineer

About Galaxy
Galaxy is a global leader in digital assets and AI infrastructure delivering solutions that accelerate progress in finance and artificial intelligence. Founded in 2018 and headquartered in New York City we serve institutions startups protocols and investors across a platform spanning trading asset management tokenization and large-scale AI and high-performance computing data centers. This role sits on the AI products team a small high-ownership group that takes ideas from prototype to production and ships them at scale.
Why youll want this role
    Greenfield high-ownership work: build new AI products end to end rather than maintaining legacy systems.
    Real impact: your work ships to institutional and individual clients and runs in production not stuck in prototype.
    Modern stack: hands-on with LLMs agentic systems and AWS-native AI services.
Role Overview
As a Backend Engineer on our AI Products team you will design build and operate the backend services that power products across Galaxy. You will work with product and engineering teams to implement features end-to-end from data model to API to production deployment.
Many of these products integrate with Galaxys AI Suite our internal platform for Generative and Agentic AI built on AWS Bedrock AgentCore and SageMaker. Day to day youll mostly be consuming that platform calling its APIs wiring LLM and RAG-based features into application logic and reasoning about prompts and model behavior as part of building a good product rather than building or owning the platform itself. From time to time though you may be asked to contribute directly to the AI stack so foundational AI knowledge is important.
Key Responsibilities
Backend Engineering
    Design build and maintain backend services and REST APIs that power Galaxy products
    Design data models and schemas and work with relational and other data stores as appropriate
    Apply strong software engineering and distributed systems principles to day-to-day development
    Write automated tests and maintain CI/CD pipelines for reliable repeatable deployments
    Diagnose and resolve production issues related to latency reliability and data quality
AI Integration
    Integrate backend services with Galaxys AI Suite (Bedrock AgentCore SageMaker-based APIs) built and maintained by the AI Platform team
    Wire LLM embedding and RAG-based capabilities exposed by the AI Suite into application features
    Apply prompt engineering and function calling at the application level to build reliable AI-powered features
    Contribute to testing and quality checks for AI-driven features from a product/application perspective
Cross-Stack Contribution
    Contribute across the stack as needed such as data pipelines infrastructure or frontend touchpoints depending on team and project needs
    Partner with full stack engineers the AI Platform team and data teams to deliver features end-to-end
    Balance delivery speed with code quality maintainability and operational health
Collaboration & Growth
    Work closely with product managers and business stakeholders to translate requirements into working software
    Collaborate with the AI Platform team to stay current on AI Suite capabilities and best practices for consuming them
    Share knowledge with other engineers on backend and AI-integration best practices
 

Qualifications :

• Mandatory Technical Skills
  Programming & Engineering
      Python
      REST API design and development
      CI/CD pipelines
      Automated testing
      Distributed systems fundamentals
      Relational database design (e.g. PostgreSQL)
  CI/CD & Infrastructure
      Kubernetes
      Terraform
      Docker
      Jenkins experience is a plus
  AI Familiarity
      Working familiarity with Generative AI / LLM concepts: RAG embeddings prompt engineering function calling
      Experience integrating applications with LLM or AI platform APIs (e.g. AWS Bedrock or equivalent); deep agentic architecture or model training experience is not required
      Comfortable reasoning about prompt behavior and AI output quality from an application/product perspective
  Cloud Platforms
      Working experience with AWS (or equivalent cloud platform)
      Exposure to core AWS services such as Lambda API Gateway S3 and CloudWatch is a plus
  Data Platforms
      Databricks experience is a plus
  Production & Operations
      Observability (logs metrics tracing alerts)
      Monitoring and reliability engineering
      Performance tuning and cost optimization
  Security
      Experience implementing AuthN/AuthZ (OAuth2/OIDC SSO) RBAC and secrets management in production applications
  Soft Skills
      Strong communication skills; comfortable presenting technical recommendations directly to engineering and business stakeholders
  Nice to Haves
  Domain
      Experience working within the financial services domain is preferred
      Prior experience across Capital Markets Digital Assets/Crypto or AI infrastructure is highly desirable
      Awareness of the regulatory and compliance landscape relevant to financial services technology delivery
  AI & Product
      Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock SageMaker or equivalent)
      Familiarity with vector databases and embeddings (e.g. pgvector) for AI-powered search/retrieval features
      Ability to evaluate AI feature quality from a product/UX lens (accuracy latency hallucination handling graceful degradation) distinct from model-level evaluation owned by the AI Platform team

Additional Information :

Why Version 1 

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability. 

• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys profits 
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme 
• Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance 
• Financial Wellbeing initiatives including; Pension Private Healthcare Cover Life Assurance Financial advice and an Employee Discount scheme 
• Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies 
• Educational assistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat 
• Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform. 
• Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes. 

And many more exciting benefits drop us a note to find out more.   

Version 1 is an equal opportunities employer. 

We are committed to building a diverse inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring including those shaped by disability and neurodiversity. 

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact your recruiter at Version 1. We will consider all requests carefully respectfully and confidentially. 

Video links: 

Work :

No

Employment Type :

Full-time