Senior AI Engineer
Brak informacji o wynagrodzeniu
SeniorFull-time·B2B
#441340·Dodano 3 dni temu·0
Źródło: justjoin.itTech 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.
Opieka zdrowotna
Karta sportowa
Inne informacje
Service provision must be from Poland.
Ness Solution
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