Craftware

Senior AI Engineer

180 - 220 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#460782·Dodano 29 dni temu·5

Źródło: justjoin.it

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Tech Stack / Keywords

PythonAI AgentsLLMAzure AI foundryGoogle ADKClaude Code

Podsumowanie oferty

Build, integrate and operate agentic AI solutions for enterprise clients, working with business product owners and client stakeholders from workshops through production delivery. The role focuses on AI agents, LLM integration and Python-based solutions.

Wymagania

Proven experience delivering AI/agentic solutions for enterprise-level companies.
Hands-on experience with Azure AI Foundry and/or Google Agent Development Kit (ADK).
Experience using Claude Code in day-to-day development.
Strong proficiency in Python and solid data engineering skills.
Applied experience with LLM/ML systems, including integration, evaluation and tuning.
Experience with cloud platforms (Azure and/or GCP).
English at B2 level or higher.
Ownership of your work, an analytical mindset and strong communication skills.

Nice to have:

Understanding of the retail business.
Financial or finance-domain knowledge.
Experience delivering image search engine solutions.

Obowiązki

AI Solution Development

Take part in solution workshops with business product owners.
Design and implement agents, agentic workflows and ML/AI components, including agent logic, tool/function definitions, and prompt and context design.
Lead hands-on implementation, from LLM integration to end-to-end agent behaviour.
Ensure the solution runs reliably and repeatably and can be demoed and extended beyond its initial scope.

Data & Model Engineering

Design and build data pipelines for ingestion, preprocessing and transformation, including structured extraction from documents and contracts and data validation.
Set up data quality checks and monitor output stability, such as variance between runs on unchanged inputs.
Lead evaluation and tuning against agreed metrics, such as extraction accuracy and forecast accuracy.

Integration & Deployment

Integrate AI components with client source systems, data stores and output formats, including files, exports and spreadsheets.
Manage deployment, monitoring, versioning and maintenance for the duration of the engagement.

Collaboration & Communication

Work directly with client stakeholders to clarify requirements and validate results.
Keep clear technical documentation of the implementation.
Explain technical constraints, trade-offs and results to non-technical audiences, including during demos.

Research & Innovation

Assess whether the chosen technology stack, such as Google ADK, fits the use case, and report on cost, performance and limitations.
Stay up to date with agentic frameworks and AI engineering best practices, and propose improvements during delivery.

Benefity

Budget for skills development and certifications as part of the collaboration.
Networking and team-building events for project teams.

Dofinansowanie szkoleń

Spotkania integracyjne

Craftware

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