Senior AI Engineer

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SeniorFull-time·B2B
#441340·Dodano 3 dni temu·0
Źródło: justjoin.it
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Tech Stack / Keywords

Agentic SDLCAI Agents / AI WorkflowsLanggraphMCPGitHub Copilot/Claude Code/Codex/M365 Copilot

Wymagania

  • At least 5 years of technical experience in roles such as Software Developer, DevOps Engineer, or QA/Test Automation Engineer.
  • Practical experience in software development teams and deep knowledge of the full SDLC.
  • Experience using AI tools in software development such as GitHub Copilot, Claude Code, Codex, M365 Copilot, or open-source models.
  • Practical knowledge of building AI Agents, AI Workflows, skills, and prompts.
  • Experience integrating AI solutions with development environments, including repositories, CI/CD, code review, and testing.
  • Familiarity with Spec-Driven Development and modern software engineering practices enhanced by AI.
  • Knowledge of LLM, RAG, automation, and agent architectures.
  • Experience in production deployment of AI solutions including configuration, integration, hardening, and monitoring.
  • Ability to translate business and technical requirements into specific AI solutions and architectures.
  • Ability to assess business value of AI solutions and optimize model cost usage.
  • Strong communication and consulting skills with experience collaborating with technical and managerial teams.
  • Experience with knowledge transfer through pair/mob programming, shared code review, and solution design.
  • Willingness to work in a hybrid model with at least one day per week onsite.
  • Ability to provide services from Poland.

Obowiązki

  • Implement and integrate AI tools with software development environments.
  • Design and build AI workflows, agents, prompts, and automation.
  • Integrate AI solutions with repositories, CI/CD, code review, and testing processes.
  • Support IT teams in daily use of AI technologies.
  • Design and develop Agentic SDLC practices tailored to roles like Developer, QA, Analyst, DevOps.
  • Conduct technical workshops and discovery sessions.
  • Translate business and technical needs into AI solutions and architecture.
  • Deploy AI solutions in production including configuration, integration, hardening, and monitoring.
  • Analyze AI deployment effectiveness and optimize model usage costs.
  • Collaborate using pair/mob programming, joint design, and code review.
  • Prepare technical documentation and AI usage standards.
  • Facilitate knowledge transfer and support teams in assuming responsibility for deployed AI solutions.

Benefity

  • Long-term cooperation on projects utilizing AI.
  • Opportunity to work with solutions involving GenAI, AI Agents, and Agentic SDLC.
  • High degree of autonomy in designing and deploying solutions.
  • Hybrid work model with 1 day per week in the office.
  • Access to Luxmed healthcare package and Multisport at preferred conditions.
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Inne informacje

Service provision must be from Poland.

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