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Senior AI-Native Software Developer (Remote)

CyrantosWarszawa, Kraków, Poznań, Wrocław, Gdańsk23 дн. назад

Коротко

Builds AI-native applications using Python on AWS with Langgraph, Amazon Bedrock, MLflow, and Temporal. · Needs: Expertise in Python, AWS, Langgraph, Amazon Bedrock, MLflow, and Temporal.

Описание от работодателя

Required skills: Python, AWS, Langgraph, Amazon Bedrock, MLflow, Temporal 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.