Senior Applied AI Engineer

26k - 33k PLN26 000 - 33 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#473648·Dodano wczoraj·2

Źródło: Flyps

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Tech Stack / Keywords

LLMRAGFastAPIvector searchLLM APIsGittool callingstructured outputsobservabilityAPI integrations

Podsumowanie oferty

Build and improve production AI systems, including LLM applications and agentic workflows, with a focus on evaluation, debugging, and reliability. Provide technical direction to engineers and help make architectural decisions.

Wymagania

Strong software engineering skills and experience building production applications.
Hands-on experience with LLM-powered systems, including LLM APIs, tool calling, structured outputs, and multi-step workflows.
Experience with RAG, vector search, or agent-based architectures.
Experience building backend services and APIs, preferably with FastAPI, plus automated testing, Git, and code review.
Practical experience with LLM evaluation and observability, measuring quality, failures, latency, and cost.
Strong technical problem-solving skills and ability to make sound architectural trade-offs.
Experience providing technical guidance through architecture decisions, code reviews, and mentoring.
Strong communication skills: explaining technical decisions, challenging assumptions, and working effectively with clients and engineers.
Comfortable using AI-powered coding assistants such as Cursor, GitHub Copilot, ChatGPT, or Claude.
Comfortable working in a bilingual environment: Polish C2 and English C1.

Obowiązki

Design and develop LLM-powered systems, from prototypes to production.
Diagnose and improve AI systems by analysing code, data, logs, and execution traces.
Choose the right approach, from simple workflows to agentic architectures.
Build evaluations and regression tests to measure quality and detect failures.
Run experiments to compare solutions across quality, cost, latency, and reliability.
Build backend services and API integrations, including validation, error handling, logging, and monitoring.
Work with clients to define requirements and acceptance criteria, and communicate technical decisions, results, and limitations.
Set technical direction, review solutions, and support engineers through mentoring and collaborative problem-solving.
Evaluate new models, tools, and approaches and validate their practical value before recommending them for production.

Benefity

Private medical care.
Life insurance.
Multisport.
Referral bonuses.
Equipment, with a MacBook by default.
Flexible hours.

Elastyczne godziny

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Premie

Flyps

11 aktywnych ofert

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