The vacancies listed on this Careers webpage represent opportunities available across the JustMarkets Group globally and are not limited to JustMarkets Ltd, the entity operating this website. JustMarkets Ltd is responsible only for those published vacancies where it is expressly stated within the relevant vacancy description that the position is for JustMarkets Ltd.

The vacancies listed on this Careers webpage represent opportunities available across the JustMarkets Group globally and are not limited to JustMarkets Ltd, the entity operating this website. JustMarkets Ltd is responsible only for those published vacancies where it is expressly stated within the relevant vacancy description that the position is for JustMarkets Ltd.

The vacancies listed on this Careers webpage represent opportunities available across the JustMarkets Group

AI Platform Engineer

AI Platform Engineer

Europe | Full-time

Responsibilities

  • Architect, build, and operate the internal LLM Gateway, including routing, rate limiting, quotas, cost tracking, and automated fallbacks.
  • Design and build the agent control plane, covering agent creation, context management, task execution, and state tracking.
  • Build and maintain internal SDKs to simplify LLM integration across teams.
  • Implement platform observability, monitoring, alerting, tracing, and evaluation of LLM and agent workflows, including latency, token usage, costs, and failovers.
  • Implement security and governance for LLM usage and AI agents.
  • Collaborate with internal teams to translate business needs into working AI solutions and drive AI adoption.
  • Evaluate build-vs-buy options and integrate relevant open-source tools where appropriate.

Requirements

  • 5+ years of experience in backend development.
  • Strong proficiency in Python or another modern backend language (Go, TypeScript, Rust), with a willingness to work with Python as our primary platform language.
  • Deep understanding of distributed systems (async queues, rate limiting, retries, circuit breakers, failover mechanics).
  • At least 1 year of hands-on experience working with AI/LLM-based solutions.
  • Practical experience with LLM APIs (OpenAI, Anthropic, Gemini): streaming, tool calling, context management, and rate limits.
  • Hands-on experience building AI agents or agentic workflows.
  • Solid knowledge of observability (metrics, logs, tracing),
  • Experience with Docker, Kubernetes, and Cloud (AWS or GCP).
  • Strong logical thinking, high ownership, initiative, and product mindset.
  • English – Intermediate or higher.

Will be a plus

  • Experience building developer platforms, internal tooling, API Gateways, or SDKs.
  • Hands-on experience with MCP (Model Context Protocol), RAG pipelines, or vector databases.
  • Experience with LLM observability and evals tools (Langfuse, LangSmith, OpenTelemetry).
  • Active personal AI adoption (demonstrated use of AI tools/agents to automate own workflows).
  • Degree in Computer Science, Software Engineering, or a related field.

We offer

  • 20 paid vacation days per year
  • 10 paid sick leave days per year
  • Public holidays as per the company’s approved Public holiday list
  • Medical insurance
  • Opportunity to work remotely
  • Professional education budget
  • Language learning budget
  • Wellness budget (gym membership, sports gear and related expenses)

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