AI Backend Engineer

52 Minutes ago • 3-5 Years • Research Development

Job Summary

Job Description

As an AI Backend Engineer at Gameopedia, you will design, build, and operate reliable, secure, and scalable AI-powered services for cutting-edge gaming experiences. You will own production APIs, AWS infrastructure, and integrations with LLMs and agent frameworks, ensuring smooth and cost-effective operation of AI products. This role involves combining backend engineering expertise with AI to shape the future of gaming.
Must have:
  • Design and own Python microservices and APIs.
  • Build event-driven and batch workloads on AWS.
  • Implement authentication/authorization and security features.
  • Ensure reliability with observability tools.
  • Write clean, well-tested, production-ready code.
  • Ship with Infrastructure-as-Code (AWS CDK) and GitHub Actions for CI/CD.
  • Containerize and deploy services on AWS.
  • Design secure, scalable, cost-efficient AWS architectures.
  • Operate and optimize data/storage layers.
  • Integrate Gaming LLM and external providers with tool/function calling.
  • Build agent orchestration and safe tool execution.
  • Implement retrieval-augmented generation (RAG), prompt management, evaluation harnesses, caching.
  • Track and improve quality, latency, and cost of AI products.
  • 3–5 years building backend systems in Python; strong CS/engineering fundamentals.
  • 3+ years designing and operating systems on AWS in production.
  • Proven experience shipping production APIs (FastAPI), with testing and observability.
  • Practical experience integrating LLMs or agents in real products.
  • Proficiency with Docker, GitHub Actions, and IaC (CDK).
  • Strong grasp of performance, resiliency, and security (IAM least privilege, networking, TLS).
Good to have:
  • GraphQL (Apollo) and async Python (uvicorn/asyncio) expertise.
  • MLOps familiarity (model packaging, registries, monitoring) and vector databases.
  • Experience with AWS cost/performance optimization.
  • Passion for video games and the gaming ecosystem.
Perks:
  • A passionate team that’s shaping the future of gaming with AI.
  • Managers and teams who genuinely care about your well-being, personal growth, and success.
  • An attractive compensation package.
  • Comprehensive health insurance.
  • Paid parental leave.
  • Pension plan.
  • ESOP.
  • A collaborative, inclusive environment where diverse perspectives are valued.
  • Hybrid work — flexible scheduling with a central office right by Lillestrøm train station.
  • A work culture built on our values: Extra-Ordinary, Human-Centric, Committed, Clear & Transparent, and Integrity.

Job Details

Build AI-Powered Backend Systems as our new AI Backend Engineer (Python/AWS)

If you’re ready to combine your expertise in backend engineering with the exciting world of AI, this is your chance. We’re building cutting-edge AI experiences for gamers, powered by a specialised domain LLM and agentic systems and we need your skills to make it happen.

How We Make an Impact

Gameopedia began with a simple mission: to be the ultimate gamer friend, helping gamers discover the best games with top-tier recommendations. Today, we deliver industry-leading video game data and insights to some of the world’s biggest companies, including Google, YouTube, Samsung, LG, and Amazon, shaping millions of gaming decisions globally.

As the global leader in game metadata, with metadata for more than 200K games, we are becoming an AI-first company — crafting advanced AI solutions that transform the gaming industry. At the heart of this is our domain-specific Gaming LLM and AI-driven services that power discovery, personalisation, and development.

How You’ll Make an Impact

As an AI Backend Engineer, you’ll design, build, and operate the services that make our AI experiences reliable, secure, and scalable. You’ll own production APIs, AWS infrastructure, and integrations with LLMs and agent frameworks — ensuring that our AI products run smoothly and cost-effectively in the real world.

What We Expect You to Do

  • Backend & APIs:
  • Design and own Python microservices and APIs (FastAPI; GraphQL a plus).
  • Build event-driven and batch workloads (AWS Step Functions/EventBridge, SQS/SNS, Fargate, Lambda, S3).
  • Implement authentication/authorization (OIDC/OAuth2, JWT), request validation, rate-limiting, and guardrails.
  • Ensure reliability with observability tools (New Relic, logging, metrics, tracing, APM).
  • Write clean, well-tested, production-ready code.
  • Cloud Architecture (AWS):
  • Ship with Infrastructure-as-Code (AWS CDK) and GitHub Actions for CI/CD.
  • Containerize and deploy services (Docker) on ECS Fargate/EKS; use Lambda where appropriate.
  • Design secure, scalable, cost-efficient architectures (VPC, ALB, NAT, private subnets, autoscaling).
  • Operate and optimize data/storage layers (Postgres/RDS/MySQL, DynamoDB, Redis, S3).
  • AI/LLM & Agents:
  • Integrate our Gaming LLM and external providers (Gemini, OpenAI, MCP) with tool/function calling.
  • Build agent orchestration and safe tool execution (LangGraph, CrewAI, schema validation, guardrails).
  • Implement retrieval-augmented generation (RAG), prompt management, evaluation harnesses, caching.
  • Track and improve quality, latency, and cost; implement fallbacks, timeouts, and safety filters.

What We Think You’ll Need to Succeed

  • 3–5 years building backend systems in Python; strong CS/engineering fundamentals.
  • 3+ years designing and operating systems on AWS in production.
  • Proven experience shipping production APIs (FastAPI), with testing and observability.
  • Practical experience integrating LLMs or agents in real products (function calling, RAG, LangGraph/CrewAI, MCP).
  • Proficiency with Docker, GitHub Actions, and IaC (CDK).
  • Strong grasp of performance, resiliency, and security (IAM least privilege, networking, TLS).

Bonus XP (Nice-to-Haves)

  • GraphQL (Apollo) and async Python (uvicorn/asyncio) expertise.
  • MLOps familiarity (model packaging, registries, monitoring) and vector databases.
  • Experience with AWS cost/performance optimization.
  • Passion for video games and the gaming ecosystem.

Your First 6 Months with Us

  • Ship a hardened Agent Orchestrator service with observability and autoscaling on AWS.
  • Launch a versioned prompt/evaluation pipeline with automated regression checks.
  • Expose secure public APIs for recommendations and discovery, complete with clear SLOs and dashboards.

What You’ll Get From Us

  • A passionate team that’s shaping the future of gaming with AI.
  • Managers and teams who genuinely care about your well-being, personal growth, and success.
  • An attractive compensation package with comprehensive health insurance, paid parental leave, pension plan, and ESOP.
  • A collaborative, inclusive environment where diverse perspectives are valued.
  • Hybrid work — flexible scheduling with a central office right by Lillestrøm train station, just 10 minutes from Oslo S.
  • A work culture built on our values: Extra-Ordinary, Human-Centric, Committed, Clear & Transparent, and Integrity.

Ready to Level Up Your Backend Engineering Career?

If you’re looking for the opportunity to apply your backend and AI skills to shape the future of gaming, we’d love to hear from you. Share your CV, portfolio, GitHub, or anything else that shows us your story. What matters most is making a connection.

We are committed to building a diverse and inclusive workplace because we know that the best gaming experiences — and AI systems — are built by diverse minds. We welcome individuals from all backgrounds and walks of life to apply. Join us in creating extraordinary experiences for gamers and the gaming industry worldwide.

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