Back-end Engineer

As a Backend Engineer, you will design and build the services, APIs, data models, and infrastructure that power the company’s product.

You will work primarily in Python and PostgreSQL while collaborating closely with product engineers, AI engineers, customers, and company leadership.

This is not a narrow API-development role. You will work on production architecture, data systems, model integrations, security, reliability, and product capabilities. What you’ll do

• Design, build, and maintain production backend services using Python
• Develop APIs that support customer-facing applications and AI workflows
• Design scalable relational data models using PostgreSQL
• Build integrations with model providers, customer systems, and third-party platforms
• Develop systems for asynchronous jobs, event processing, and long-running AI workflows
• Deploy and operate services using AWS
• Debug production issues across application, data, model, and infrastructure layers
• Help shape backend architecture and engineering practices as the company grows

• Approximately 2-9 years of professional software engineering experience
• Strong professional experience with Python
• Experience designing and operating production APIs or backend services
• Strong understanding of relational databases, SQL, and data modeling
• Experience with PostgreSQL or a comparable production database
• Familiarity with AWS, GCP, or another major cloud platform
• Understanding of application security, authentication, and authorization
• Experience debugging and operating systems in production
• Ability to independently own technical projects from design through deployment
• Comfort making pragmatic engineering decisions in an early-stage environment
• Strong communication and cross-functional collaboration skills

Nice to have (not required)

• Experience building AI, LLM, agent, or machine-learning infrastructure
• Experience integrating OpenAI, Anthropic, or other model providers
• Familiarity with LLM evaluation, retrieval, embeddings, or vector databases
• Experience with Docker, Kubernetes, Terraform, or CI/CD systems
• Experience with Redis, Kafka, queues, or event-driven architectures
• Experience building multi-tenant SaaS products
• Previous experience at an early-stage startup
• Experience with data-intensive or distributed systems

United States Easy Apply 115K-194K Annually Entry level 115K-194K Annually Entry level Cloud * Security * Software * Cybersecurity * Automation Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations. Top Skills: Duo Workflow ServiceGitlab RailsGraphQLLangchainLanggraphLarge Language ModelsPythonRspecRuby On Rails NinjaTrader, Remote or Hybrid Easy Apply 140K-190K Annually Senior level 140K-190K Annually Senior level Fintech * Software * Financial Services Design, build, and operate Rust services for account creation, identity verification, KYC/CIP decisioning, and asynchronous outcome delivery. Develop provider integrations, testable decision logic, secure PII workflows, policy-driven market configurations, and reliable cloud-native architecture using GCP and Kubernetes. Lead technical design reviews, establish cross-team contracts, respond to incidents, and mentor engineers while improving onboarding approval rates and time-to-funding. Top Skills: Claude CodeCodexCursorDieselDockerGoogle Cloud PlatformGrpcHTTPJSONKubernetesProtobufRustSerdeSqlxStatsigTokioYaml Opto Investments

Software Engineer

5 Days Ago Remote or Hybrid 160K-240K Annually Senior level 160K-240K Annually Senior level Fintech * Software * Financial Services Build and own backend services for a private markets investing platform. Deliver end-to-end software across design, implementation, testing, deployment, and operations. Collaborate with product and engineering teams, iterate on ambiguous problems, apply distributed systems principles, and incorporate AI/LLMs for data extraction and document generation. Participate in recruiting and maintain high-quality delivery practices. Top Skills: Ai/LlmsAWSAws LambdaCi/CdFastapiNext.JsPytestPythonReactRestSQLTypescript

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Posted 6 Hours Ago Be an Early Applicant Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Build and operate production backend services, APIs, relational data models, AI and customer integrations, asynchronous workflows, and cloud infrastructure. Debug issues across application, data, model, and infrastructure layers while contributing to architecture and engineering practices. The role requires independent project ownership, production operations experience, application security knowledge, and cross-functional collaboration in an early-stage startup. The summary above was generated by AI

We are hiring on behalf of a venture-backed AI startup building intelligent software that automates complex business workflows.

The platform uses large language models, proprietary data, and human-in-the-loop systems to complete work that previously required significant manual effort. Its backend systems power AI agents, customer integrations, data processing, evaluation infrastructure, and production workflows.

The company is hiring a Backend Engineer to build the reliable systems behind its AI products.