Lead AI Engineer
⚲ Remote
25 000 - 34 000 PLN (B2B)
Wymagania
- AI
- .NET
- C#
- Azure
- Cloud
- SQL
- API
- REST
- LLM
- Vector databases
- Docker (nice to have)
- Kubernetes (nice to have)
- Kafka (nice to have)
- NoSQL (nice to have)
- OAuth (nice to have)
- GDPR (nice to have)
- Communication skills (nice to have)
Opis stanowiska
O projekcie:
We are building an AI-powered healthcare platform that supports doctors and patients throughout their entire health journey - from first consultation to ongoing care. The platform enables intelligent conversational workflows between patients and physicians, integrated with existing portal.
This is a greenfield architecture role: you will design the AI layer from scratch, while integrating it into an existing system. The engagement starts with a paid discovery phase of a few weeks, followed by a long-term contract (initially one year, with a target of two).
You will join as part of our consulting team and work directly with the client's product stakeholders. Depending on the scope (outcome of the discovery phase), you may also build and lead a small engineering team.
Wymagania:
AI & LLM
- Production experience building LLM-powered applications- Strong knowledge of RAG architectures — chunking strategies, embeddings, vector
search, retrieval pipelines- Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or similar providers- Prompt engineering, context management, guardrails, and AI output evaluation
Backend & Software Engineering
- 5+ years of backend engineering experience- Strong .NET / C# skills - this is the core stack- REST API design and implementation- Authentication and authorization: OAuth2, OpenID Connect, JWT
Data & Infrastructure
- SQL and/or NoSQL databases - data modeling and persistence layer design- Vector databases and semantic search (Azure AI Search or equivalent)- Azure cloud platform - services, deployment, infrastructure- Containerization (Docker, Kubernetes or equivalent)
Architecture & Leadership
- Ability to independently design and own complex technical solutions- Experience making and defending architectural decisions under real-world
constraints - Production monitoring, logging, tracing, incident management - Strong communication skills - comfortable working directly with non-technical
business stakeholders
Codzienne zadania:
- Design the end-to-end architecture of the AI platform (greenfield) and integrate it with an existing patient and physician portal
- Select and implement LLM technologies and AI services appropriate for a regulated healthcare context
- Design and build RAG pipelines on curated medical knowledge sources
- Build backend services and APIs in .NET / C# to power AI workflows
- Design data storage and retrieval architecture - vector databases, structured stores, semantic search
- Implement secure authentication, authorization, and audit mechanisms
- Build conversation orchestration and physician review workflows
- Set up monitoring, evaluation, and observability for AI outputs
- Translate business and clinical requirements into technical architecture decisions
- Provide technical leadership throughout the project; optionally scale and lead a small team
We are building an AI-powered healthcare platform that supports doctors and patients throughout their entire health journey - from first consultation to ongoing care. The platform enables intelligent conversational workflows between patients and physicians, integrated with existing portal.
This is a greenfield architecture role: you will design the AI layer from scratch, while integrating it into an existing system. The engagement starts with a paid discovery phase of a few weeks, followed by a long-term contract (initially one year, with a target of two).
You will join as part of our consulting team and work directly with the client's product stakeholders. Depending on the scope (outcome of the discovery phase), you may also build and lead a small engineering team.
Wymagania:
AI & LLM
- Production experience building LLM-powered applications- Strong knowledge of RAG architectures — chunking strategies, embeddings, vector
search, retrieval pipelines- Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or similar providers- Prompt engineering, context management, guardrails, and AI output evaluation
Backend & Software Engineering
- 5+ years of backend engineering experience- Strong .NET / C# skills - this is the core stack- REST API design and implementation- Authentication and authorization: OAuth2, OpenID Connect, JWT
Data & Infrastructure
- SQL and/or NoSQL databases - data modeling and persistence layer design- Vector databases and semantic search (Azure AI Search or equivalent)- Azure cloud platform - services, deployment, infrastructure- Containerization (Docker, Kubernetes or equivalent)
Architecture & Leadership
- Ability to independently design and own complex technical solutions- Experience making and defending architectural decisions under real-world
constraints - Production monitoring, logging, tracing, incident management - Strong communication skills - comfortable working directly with non-technical
business stakeholders
Codzienne zadania:
- Design the end-to-end architecture of the AI platform (greenfield) and integrate it with an existing patient and physician portal
- Select and implement LLM technologies and AI services appropriate for a regulated healthcare context
- Design and build RAG pipelines on curated medical knowledge sources
- Build backend services and APIs in .NET / C# to power AI workflows
- Design data storage and retrieval architecture - vector databases, structured stores, semantic search
- Implement secure authentication, authorization, and audit mechanisms
- Build conversation orchestration and physician review workflows
- Set up monitoring, evaluation, and observability for AI outputs
- Translate business and clinical requirements into technical architecture decisions
- Provide technical leadership throughout the project; optionally scale and lead a small team
🔍 Dekoder Ogłoszenia
🔴
greenfield architecture role: you will design the AI layer from scratch, while integrating it into an existing system.
Będziesz tworzyć nową architekturę AI, ale musisz ją zintegrować z istniejącym, prawdopodobnie starszym i mniej elastycznym systemem.
🔴
The engagement starts with a paid discovery phase of a few weeks, followed by a long-term contract (initially one year, with a target of two).
Pierwsze tygodnie to okres próbny, po którym następuje umowa na rok z możliwością przedłużenia, co może oznaczać niepewność co do faktycznego długoterminowego zaangażowania.
🔴
Depending on the scope (outcome of the discovery phase), you may also build and lead a small engineering team.
Rola lidera zespołu nie jest gwarantowana i zależy od wyników fazy odkrywczej, co może oznaczać, że początkowo będziesz pracować samodzielnie.
🔴
You will join as part of our consulting team and work directly with the client's product stakeholders.
Będziesz pracować jako zewnętrzny konsultant, co może oznaczać mniej stabilne zatrudnienie i potencjalne konflikty interesów między firmą konsultingową a klientem.
🟡
Strong .NET / C# skills - this is the core stack
Oczekuje się bardzo dobrej znajomości .NET/C#, co może oznaczać, że większość pracy będzie polegać na utrzymaniu i rozbudowie istniejącego kodu w tej technologii.