Role Description Rockstar is recruiting for an AI-native operations platform for patient access — the behind-the-scenes work of getting patients enrolled in assistance programs, verifying coverage, and moving cases through review. Their thesis is simple: AI handles the routine, humans handle the judgment calls. They're in build mode for their first deployment, a patient access infrastructure company serving emerging biopharma, with go-live targeted later in 2026. They're hiring one or two senior engineers to build this platform with them. Given the size of the team, each hire carries the weight of a founding engineer — you will own entire verticals of the product, make architectural calls that we live with for years, and ship code that real patient cases flow through starting this fall. They are looking for engineers who build with LLMs the way previous generations built with databases — as a first-class architectural primitive, not a bolt-on. What you'll own: - Designing and shipping the AI agents that run patient case lifecycle — application intake, document extraction, data validation, coverage verification, patient communication, missing-info follow-up — including the evaluation harness, confidence thresholds, and human-in-the-loop boundaries. - PHI-aware data architecture: de-identification pipeline that strips identifiers before inference, the tokenization layer that maps results back, and the audit trail that logs every model call. - Integrations with healthcare systems of record and dependent services – as well as the orchestration layer that coordinates across them. - The production bar: on-call, incident response, rollback strategy, and strict uptime SLAs. - Working directly with operations, IT, and clinical teams during discovery, UAT, and go-live — you'll be in the room, not behind a PM. Qualifications - 5+ years shipping production software, with meaningful time owning backend systems that mattered when they broke. - Deep expertise in at least one modern backend language (Python, TypeScript, Kotlin, Go, or similar) and the judgment to know when the choice matters and when it doesn't. - Comfort across the full backend picture: relational databases, cloud infrastructure (AWS preferred), containerized services, API design, and the operational discipline that comes with running regulated software. - A real sense for UX — you care how the thing feels to use, not just whether it works. You've sat with users, sweated the details, and pushed back on designs that looked good but didn't hold up in the workflow. - You've built something real with LLMs — orchestration, retrieval, tool use, structured output, evals, handling model failure modes. - Track record of taking an ambiguous problem, shaping it into an architecture, and shipping it. - You treat model behavior as something to test, measure, and govern. Requirements - Bonus: healthcare or other regulated-industry experience; prior early-stage or founding-engineer time; Salesforce ecosystem; eligibility engines, document extraction, health compliance or case-management workflows. - Geography: Eastern Time preferred, +/- 3 hours. What this role is not - It's not a research role. - It's not a prompt-tuning role. - It's not a "wrap an API and call it an agent" role. - It's also not a role for someone who needs a lot of scaffolding around them — they are small, the customer is counting on them, and the timeline is real.

• Lead and Scale a High-Performing Pod • Own the AI Orchestration Layer • Modernize the Developer Experience • Define Evaluation and Trust Standards • Lead Foundational Model Strategy • Be a Strategic Partner to Leadership

We put AI firstJoin our AI-first team, where we're building a next-generation platform that runs AI agents to do real engineering work. Our systems reason, use tools, and act on production environments safely and at scale, making complex workflows trustworthy and reliable. We are seeking professionals passionate about building exceptional user experiences and eager to collaborate with an international team of experts to shape how people interact with autonomous agents in a globally leading product. Your role at DynatraceWe are looking for a practical, rigorous software engineer who is enthusiastic about turning LLM reasoning into safe, reliable, and tool-using agentic behaviors in production environments. You should be a builder at heart who enjoys engineering robust agent frameworks and evaluation pipelines rather than focusing purely on prompt design. Your role: - Design, build, and maintain our core Python agent layer, including LLM routing, tool-calling infrastructure, and structured-output retry logic that ensures dependability in production. - Design robust guardrails, input and output validation, and prompt-injection defences to mitigate hallucinations and prevent agents from deviating from their tasks. - Define and implement the datasets, metrics, and automated evaluation strategies necessary to measure and prove agent quality objectively across model updates and prompt modifications. - Drive high-level architectural decisions for our AI systems and actively participate in team code reviews, unit testing, and debugging efforts. What will help you succeedTo be successful in this role, you bring deep software development experience combined with a highly analytical and scientific approach to measuring AI system quality. We seek individuals who pair strong Go and Python foundations with hands-on, production-proven experience in orchestrating LLM APIs and agent loops. - Multiple years of professional, hands-on software engineering experience with deep expertise in Go and Python. - Direct experience building LLM-powered systems and agent loops, utilizing modern orchestration frameworks (like LangGraph), tool-calling, and structured-output APIs. - Demonstrated ability to measure, evaluate, and prove agentic system quality through quantitative datasets and evaluation metrics rather than qualitative impressions. - Strong software engineering fundamentals, including continuous testing, production debugging, and full-service ownership. - Degree in Software Engineering or equivalent practical experience in software development. - Highly developed analytical, problem-solving, and collaborative skills to work effectively within an international engineering team. Why you will love being a Dynatracer - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. - Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. - An environment that fosters innovation, enables creative collaboration, and allows you to grow. - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. - A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. - For this position we offer exclusive relocation support to our R&D Headquarters in Linz, ranked among the top seven most sustainable cities in the world, where cutting-edge innovation intersects with an exceptional quality of life and affordable living costs! Click this link to find out more. Compensation and RewardsDue to legal reasons, we are obliged to list a salary range for this position, which is € 61,000 up to € 76,000 gross per year based on full-time employment (38.5 h/week). We’ve listed the salary range for transparency, but if your experience and skills bring unique value, we’d still love to hear from you—please apply even if you’re outside the range. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

• Design and develop scalable data pipelines, backend services, and APIs. • Build knowledge graph solutions, including graph data modeling, relationship mapping, and graph traversal logic. • Build ETL pipelines. • Design data models. • Implement GraphRAG solutions combining knowledge graphs, vector search, metadata, and LLM-based retrieval. • Create Source to Target Mappings (STMs) for ETL specifications. • Implement automated ingestion patterns, incremental (delta) updates, and streaming/CDC workflows. • Gather requirements, set targets, define interface specifications, and conduct design sessions. • Work closely with data consumers to ensure proper integration. • Adapt and learn in a fast-paced project environment.