Senior AI-Native Software Developer (Remote)
⚲ Warszawa, Kraków, Poznań, Wrocław, Gdańsk
28 000 - 35 000 PLN netto (B2B)
Wymagania
- Python
- AWS
- Langgraph
- Amazon Bedrock
- MLflow
- Temporal
Opis stanowiska
Cyrantos is partnering with a healthcare and financial intelligence platform to find a highly experienced Senior AI-Native Software Developer to join their team. This is a remote position with a start date as soon as the candidate successfully completes the interview process.
Monthly B2B salary: 28,000 - 35,000 PLN net.
About the Role:
As a Senior AI-Native Software Developer, you will help design and build production-grade agentic workflow platforms for healthcare data analytics and financial portfolio intelligence. You will work at the intersection of software engineering, AI agents, data platforms, deterministic analytical engines, and cloud-native architecture. The focus is on building reliable systems in which LLM-powered agents collaborate with business rules, statistical models, APIs, and human approval workflows.
Our client is looking for a senior engineer who treats AI as part of a broader software system and not as a standalone chatbot as well as can turn experimental agent concepts into secure, testable, explainable, and production-ready platforms.
Key Responsibilities:
• Design and implement multi-agent workflows using frameworks such as LangGraph, Strands Agents, or OpenAI Agents SDK
• Integrate agent workflows with AWS Step Functions, EventBridge, SQS, Lambda, and container-based services
• Build secure tools and APIs used by AI agents to access data, calculations, optimization engines, and compliance rules
• Integrate LLMs through Amazon Bedrock, OpenAI, Anthropic, or similar platforms, implementing structured outputs, model routing, fallbacks, prompt versioning, and cost controls
• Develop RAG pipelines using approved internal, regulatory, clinical, or financial knowledge sources
• Connect AI components with deterministic Python services, statistical models, rules engines, and optimization algorithms, implementing human-in-the-loop review, audit trails, observability, and model evaluation
• Contribute to architecture decisions, code reviews, testing, deployment, and engineering standards
Candidate Profile:
• Strong commercial experience with Python and modern backend development
• Experience building cloud-native systems, preferably on AWS
• Practical experience integrating LLMs and developing agentic or AI-enabled applications
• Knowledge of APIs, event-driven architecture, asynchronous processing, and distributed systems
• Experience with relational databases, data pipelines, and structured data processing
• Strong understanding of software quality, security, testing, and production observability
• Ability to distinguish between tasks suitable for LLMs and those requiring deterministic implementation
• Experience with LangGraph, Strands Agents, Temporal, or AWS Step Functions is a plus
• Hands-on experience with Amazon Bedrock, OpenAI, or Anthropic APIs is beneficial
• Knowledge of RAG, vector databases, embeddings, and reranking is a plus
• Familiarity with ML pipelines (MLflow, SageMaker), compliance, data lineage, model governance, or human-approval workflows is beneficial
Nice to have:
• Exposure to healthcare and financial industries
Interview Process:
• Phone screening
• Technical interview
• Culture fit interview
If you are a passionate Senior AI-Native Software Developer eager to help build the agentic company in the healthcare and financial sectors, we would love to hear from you.
Monthly B2B salary: 28,000 - 35,000 PLN net.
About the Role:
As a Senior AI-Native Software Developer, you will help design and build production-grade agentic workflow platforms for healthcare data analytics and financial portfolio intelligence. You will work at the intersection of software engineering, AI agents, data platforms, deterministic analytical engines, and cloud-native architecture. The focus is on building reliable systems in which LLM-powered agents collaborate with business rules, statistical models, APIs, and human approval workflows.
Our client is looking for a senior engineer who treats AI as part of a broader software system and not as a standalone chatbot as well as can turn experimental agent concepts into secure, testable, explainable, and production-ready platforms.
Key Responsibilities:
• Design and implement multi-agent workflows using frameworks such as LangGraph, Strands Agents, or OpenAI Agents SDK
• Integrate agent workflows with AWS Step Functions, EventBridge, SQS, Lambda, and container-based services
• Build secure tools and APIs used by AI agents to access data, calculations, optimization engines, and compliance rules
• Integrate LLMs through Amazon Bedrock, OpenAI, Anthropic, or similar platforms, implementing structured outputs, model routing, fallbacks, prompt versioning, and cost controls
• Develop RAG pipelines using approved internal, regulatory, clinical, or financial knowledge sources
• Connect AI components with deterministic Python services, statistical models, rules engines, and optimization algorithms, implementing human-in-the-loop review, audit trails, observability, and model evaluation
• Contribute to architecture decisions, code reviews, testing, deployment, and engineering standards
Candidate Profile:
• Strong commercial experience with Python and modern backend development
• Experience building cloud-native systems, preferably on AWS
• Practical experience integrating LLMs and developing agentic or AI-enabled applications
• Knowledge of APIs, event-driven architecture, asynchronous processing, and distributed systems
• Experience with relational databases, data pipelines, and structured data processing
• Strong understanding of software quality, security, testing, and production observability
• Ability to distinguish between tasks suitable for LLMs and those requiring deterministic implementation
• Experience with LangGraph, Strands Agents, Temporal, or AWS Step Functions is a plus
• Hands-on experience with Amazon Bedrock, OpenAI, or Anthropic APIs is beneficial
• Knowledge of RAG, vector databases, embeddings, and reranking is a plus
• Familiarity with ML pipelines (MLflow, SageMaker), compliance, data lineage, model governance, or human-approval workflows is beneficial
Nice to have:
• Exposure to healthcare and financial industries
Interview Process:
• Phone screening
• Technical interview
• Culture fit interview
If you are a passionate Senior AI-Native Software Developer eager to help build the agentic company in the healthcare and financial sectors, we would love to hear from you.
🔍 Dekoder Ogłoszenia
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AI-Native Software Developer
Oznacza to, że AI jest integralną częścią tworzonego oprogramowania, a nie tylko dodatkiem, co może wymagać głębokiego zrozumienia zarówno inżynierii oprogramowania, jak i modeli AI.
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production-grade agentic workflow platforms
Wskazuje na potrzebę budowania stabilnych, skalowalnych i niezawodnych systemów opartych na agentach AI, które będą działać w środowisku produkcyjnym.
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treats AI as part of a broader software system and not as a standalone chatbot
Podkreśla, że oczekiwana jest integracja AI z istniejącymi systemami, a nie tworzenie odrębnych, prostych aplikacji konwersacyjnych.
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turn experimental agent concepts into secure, testable, explainable, and production-ready platforms
Sugeruje, że kandydat będzie musiał przekształcać pomysły w gotowe do wdrożenia rozwiązania, dbając o aspekty bezpieczeństwa, testowalności i zrozumiałości.
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Monthly B2B salary: 28,000 - 35,000 PLN net
Podana kwota jest atrakcyjna, ale warto pamiętać o specyfice umowy B2B, która wiąże się z samodzielnym rozliczaniem podatków i składek.