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AI Automation Engineer

tickmill · Tallinn

New
Senior 🇬🇧 English
Python LangChain AutoGen CrewAI RAG AWS Azure REST API CLAW

Job description

About the role

Tickmill, a multi-regulated broker founded in 2014 and employing over 330 people across offices in London, Cyprus, Poland, Estonia, Seychelles and elsewhere, is hiring an AI Automation Engineer in Tallinn. The engineer designs, implements and optimises AI-driven workflows across the organisation, acting as an internal consultant who proposes intelligent automation solutions and deploys AI agents that improve efficiency, accuracy and scalability. The role is autonomous and end-to-end, with collaboration with stakeholders.

Key responsibilities

  • Partner with business departments to identify process inefficiencies and automation opportunities.
  • Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
  • Develop, integrate and deploy AI agents for tasks such as reporting, customer communication, data processing and internal operations.
  • Evaluate and benchmark AI models, frameworks and tools to choose optimal solutions.
  • Establish best practices for prompt engineering, context management and workflow orchestration.
  • Work with engineering teams on system integration, data privacy and compliance.
  • Create technical documentation, user training and playbooks for deployed automations.
  • Monitor system performance and refine agent behaviours and models.

Required profile

  • Proven experience building or integrating AI systems, intelligent agents or automation frameworks.
  • Experience with Forex, FinTech or similar companies supporting Sales, Marketing and Finance teams with AI.
  • Ability to turn business needs into technical solutions and communicate them clearly.
  • High degree of autonomy and proactive initiative.

Required skills

  • LLMs, vector databases and agent architecture (e.g. LangChain, AutoGen, CrewAI or custom frameworks).
  • Python, REST APIs, webhooks and automation tools.
  • RAG, chains and memory management in AI systems.
  • Cloud environments (AWS, Azure) and enterprise integrations.
  • Plus: machine learning, NLP or process automation background; CLAW; production agentic systems or AI copilots; Jira, HubSpot; data governance and model evaluation.

What we offer

  • Remuneration based on qualifications and experience.
  • Employee Training and Development programme.
  • Sports compensation or health compensation, events, birthday and loyalty benefits.

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Published 11 hours ago

Expires 1 month from now

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tickmill

Tallinn