AI Engineer (GenAI / RAG / Agentic AI)
⚲ Warszawa
130–190 zł netto (+ VAT) / godz.
Wymagania
- Azure OpenAI
- AWS Bedrock
- OpenAI API
- LangChain
- LlamaIndex
- Elasticsearch
- OpenSearch
- AWS
- Azure
- Docker
- Kubernetes
- OpenShift
- Git
- OpenTelemetry
Opis stanowiska
Nasze wymagania:
minimum 4 years of commercial experience in Python development (FastAPI, async programming)
hands-on experience with GenAI and LLM-based systems
experience building RAG solutions (retrievers, vector search, hybrid search)
experience with prompt engineering and LLM orchestration frameworks (e.g. LangChain, LlamaIndex)
experience with at least one LLM platform/provider (Azure OpenAI, AWS Bedrock, OpenAI API)
experience with PostgreSQL and vector databases (e.g. pgvector, Qdrant)
basic knowledge of ElasticSearch/OpenSearch
experience with Docker and cloud platforms (AWS or Azure)
understanding of Kubernetes/OpenShift fundamentals
experience with CI/CD, testing, Git, and code review processes
understanding of observability, logging, metrics, and tracing
understanding of security fundamentals (OIDC/OAuth2, secrets management, PII protection)
ability to optimize latency, scalability, and operational costs
strong engineering mindset and ownership attitude
Polish and English at B2 level or higher
Mile widziane:
experience with agentic AI systems and multi-agent workflows
experience in banking or enterprise environments
experience with OpenTelemetry and distributed tracing
experience with event-driven architectures
experience with security and compliance-oriented systems
knowledge of ML evaluation methodologies and RAG regression testing
O projekcie:
We are looking for AI Engineers to join projects delivered for clients from the banking and enterprise sectors.
The role focuses on building production-grade GenAI solutions, including RAG-based systems, agentic workflows, and integrations with enterprise environments. You will work on scalable AI applications with strong emphasis on reliability, observability, security, and performance optimization.
You will collaborate closely with backend, frontend, DevOps, and business teams in complex enterprise environments.
Zakres obowiązków:
design and implement GenAI applications, including RAG systems and agentic workflows
build and maintain AI pipelines (chunking, embeddings, indexing, hybrid search, reranking)
develop APIs and serving layers using FastAPI
evaluate and monitor quality, latency, and cost of AI solutions
implement guardrails, content filtering, PII protection, and prompt security mechanisms
integrate AI services with enterprise systems (REST, gRPC, ESB/EventBus)
implement observability, logging, tracing, and monitoring solutions
optimize system performance and infrastructure costs
participate in code reviews, architecture discussions, and technical documentation
collaborate with cross-functional engineering and business teams
Oferujemy:
B2B contract
100% remote work
projects for banking and enterprise clients
high-impact AI and GenAI initiatives
modern technology stack and engineering-driven environment
minimum 4 years of commercial experience in Python development (FastAPI, async programming)
hands-on experience with GenAI and LLM-based systems
experience building RAG solutions (retrievers, vector search, hybrid search)
experience with prompt engineering and LLM orchestration frameworks (e.g. LangChain, LlamaIndex)
experience with at least one LLM platform/provider (Azure OpenAI, AWS Bedrock, OpenAI API)
experience with PostgreSQL and vector databases (e.g. pgvector, Qdrant)
basic knowledge of ElasticSearch/OpenSearch
experience with Docker and cloud platforms (AWS or Azure)
understanding of Kubernetes/OpenShift fundamentals
experience with CI/CD, testing, Git, and code review processes
understanding of observability, logging, metrics, and tracing
understanding of security fundamentals (OIDC/OAuth2, secrets management, PII protection)
ability to optimize latency, scalability, and operational costs
strong engineering mindset and ownership attitude
Polish and English at B2 level or higher
Mile widziane:
experience with agentic AI systems and multi-agent workflows
experience in banking or enterprise environments
experience with OpenTelemetry and distributed tracing
experience with event-driven architectures
experience with security and compliance-oriented systems
knowledge of ML evaluation methodologies and RAG regression testing
O projekcie:
We are looking for AI Engineers to join projects delivered for clients from the banking and enterprise sectors.
The role focuses on building production-grade GenAI solutions, including RAG-based systems, agentic workflows, and integrations with enterprise environments. You will work on scalable AI applications with strong emphasis on reliability, observability, security, and performance optimization.
You will collaborate closely with backend, frontend, DevOps, and business teams in complex enterprise environments.
Zakres obowiązków:
design and implement GenAI applications, including RAG systems and agentic workflows
build and maintain AI pipelines (chunking, embeddings, indexing, hybrid search, reranking)
develop APIs and serving layers using FastAPI
evaluate and monitor quality, latency, and cost of AI solutions
implement guardrails, content filtering, PII protection, and prompt security mechanisms
integrate AI services with enterprise systems (REST, gRPC, ESB/EventBus)
implement observability, logging, tracing, and monitoring solutions
optimize system performance and infrastructure costs
participate in code reviews, architecture discussions, and technical documentation
collaborate with cross-functional engineering and business teams
Oferujemy:
B2B contract
100% remote work
projects for banking and enterprise clients
high-impact AI and GenAI initiatives
modern technology stack and engineering-driven environment
🔍 Dekoder Ogłoszenia
🔴
strong engineering mindset and ownership attitude
Oczekuje się od Ciebie samodzielności, brania odpowiedzialności za zadania i proaktywnego rozwiązywania problemów, często bez szczegółowego nadzoru.
🔴
ability to optimize latency, scalability, and operational costs
Będziesz musiał nie tylko tworzyć rozwiązania, ale także dbać o ich wydajność i efektywność kosztową, co może wymagać głębszej analizy i optymalizacji.
🟡
understanding of Kubernetes/OpenShift fundamentals
Podstawowa wiedza może oznaczać, że będziesz musiał nauczyć się więcej na miejscu, lub że nie będzie to główny obszar Twojej pracy, ale będziesz musiał rozumieć kontekst.
🟡
experience in banking or enterprise environments
Może to oznaczać pracę z bardziej złożonymi, często starszymi systemami i rygorystycznymi procesami, a niekoniecznie z najnowszymi technologiami.
🟡
Polish and English at B2 level or higher
Wymagana jest dobra komunikacja w obu językach, co może oznaczać częste interakcje z międzynarodowymi zespołami lub klientami.