Senior AI-Native Software Developer

Nasze wymagania:
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

Mile widziane:
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

O projekcie:
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.
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.

Zakres obowiązków:
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