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Aston

ML Engineer

8.0/10

Aston

Not specified
Hybrid
mid
about 7 hours ago
aidevPythonLLM frameworksREST APIKafkaModel Context Protocol (MCP)Retrieval-Augmented Generation (RAG)SQLDockerGit

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The vacancy is well-structured with clear tasks and requirements, but lacks specific compensation details and company information.

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Description

Responsibilities

  • •Design and implement AI agents based on Python and LLM frameworks, deploy in production;
  • •Design architecture for multi-agent systems;
  • •Develop backend services for synchronous and asynchronous interactions, integrations with external systems;
  • •Integrate solutions with external systems via REST API, Kafka, and Model Context Protocol (MCP);
  • •Organize work with vector databases and apply Retrieval-Augmented Generation (RAG) methods;
  • •Ensure code quality: cover with tests, handle errors, log, etc.

Conditions

  • •Good salary: level discussed individually, additional payments for mentoring and professional activities;
  • •Development: long-term projects from Russian clients, ability to change directions, transparent Performance Review system;
  • •Comfort and freedom: relocation between offices, choice of work format (remote, office, hybrid), adaptation for new employees;
  • •Training: access to corporate portal, meetups, conferences (as a guest and as a speaker);
  • •Social package: DMS with dentistry, partial sports compensation, free English classes, paid vacation and sick leave;
  • •Corporate life: team buildings, children's parties, internal events.

Requirements

Requirements

  • •Experience as an ML Engineer for 3+ years;
  • •Knowledge of Async/threading;
  • •Knowledge of HTTP/1.1, HTTP/2, WebSocket;
  • •Experience with REST/JSON;
  • •Experience integrating with external services via REST API;
  • •Experience with Kafka;
  • •Knowledge of SQL and experience optimizing queries;
  • •Experience developing AI agents on platforms like LangChain, LangGraph;
  • •Experience building RAG systems;
  • •Experience with vector data stores;
  • •Experience with Git, integrating solutions into production environments;
  • •Experience with Docker and application containerization.

Nice to have

  • •Experience with Jenkins API, Nexus, Git (Gitea or GitLab/GitHub);
  • •Experience administering or writing plugins/integrations for DevOps tools.
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