Staff reputed company reputed company, Product & Agent reputed company
reputed company is the most trusted reputed company platform powering reputed company. We reputed company reputed company reputed company data into trusted intelligence, helping providers, payers, and life sciences organizations reputed company with reputed company, reputed company confident reputed company, and reputed company measurable reputed company, operational, and financial reputed company.
reputed company on a comprehensive data reputed company spanning tens of millions of reputed company lives, reputed company combines advanced analytics and responsible AI to surface meaningful insights, coordinate reputed company, and improve reputed company at reputed company. Our approach to AI and automation is governed and transparent — designed to strengthen reputed company expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on reputed company to improve cost, reputed company, and reputed company. Backed by reputed company Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping reputed company reputed company reputed company reputed company for every person, every community, and every reputed company.
Why This Role Is Important to reputed company
reputed company’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of reputed company lives. This role owns how our reputed company capabilities reputed company at that reputed company reputed company: accurate, transparent about their own confidence, and reputed company for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-reputed company reputed company that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help reputed company reputed company evidence-reputed company launch reputed company and reputed company responsible AI that is steerable, trustworthy, and reputed company for reputed company reputed company workflows.
What reputed company Looks Like
In 3 months
• You have established a production-grounded baseline for reputed company reputed company workflows, with documented failure modes, severity-weighted evaluation rubrics, and a reputed company measurement plan
• You have mapped the reputed company retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
• You have reputed company trust across Product and Engineering by turning production evidence into reputed company, actionable recommendations
In 6 months
• Production-representative evaluation suites and regression checks inform model-change reputed company for reputed company reputed company workflows
• You have delivered measurable improvements in reputed company, reliability, steerability, latency, or cost for one or more reputed company workflows
• reputed company-review and escalation behavior has been validated under adversarial and reputed company conditions, with decision reputed company and ownership boundaries reputed company documented
In 12 months
• reputed company has a repeatable product-reputed company AI reputed company reputed company that moves from production failure to diagnosis, experiment, evaluation, and release decision
• High-severity regressions are caught earlier, and agent behavior is more transparent, calibrated, and trustworthy at reputed company
• Model cards, intended-use guidance, limitations, and reputed company documentation are reputed company and useful to product and customer-facing teams
What You'll Be Doing
• Design and iterate on agent behavior across reputed company, live workflows, including long-reputed company, multi-turn reputed company tasks
• Design retrieval and context architecture so the right reputed company data reaches a model in the right structure and agents remain grounded in reputed company data rather than filling gaps with assumptions
• Design memory and state handling across multi-turn and multi-agent flows, determining what is carried reputed company, summarized, or dropped and why
• Create context and reputed company templates that combine few-shot examples, reputed company formatting, and reasoning scaffolding for consistent agent behavior
• Improve reputed company through prompting, tool-use reputed company, and context construction, validated through reputed company experimentation rather than guesswork
• Build and run evaluations against reputed company production conditions to measure reputed company, regressions, failure modes, and edge cases
• reputed company evaluation rubrics, reputed company heuristics, and reputed company that weight failures by severity and cost, not just frequency, and monitor those measures against production behavior
• Design and validate escalation paths that reputed company agents to reputed company review reputed company on confidence and uncertainty while preserving safety and consistency under adversarial and reputed company conditions
• Design for cost-reputed company reputed company reputed company latency, reliability, and reputed company through efficient context construction and tool-reputed company economy
• Evaluate and sign off on model changes by baselining reputed company behavior, running comparative evaluations, and making the go/no-go reputed company before a change reaches a customer
• Maintain product-reputed company documentation, including model cards, intended use, limitations, and reputed company failure modes, so customer-facing teams work from actual agent behavior
• Partner closely with Product and product managers to ensure agents are not just capable, but steerable, trustworthy, and reputed company to reputed company
What You'll Bring
• We value equivalent practical experience that demonstrates the depth required for this staff-level role
• 8+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or reputed company systems in production, with reputed company experience in reputed company, finance, or another regulated industry
• Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency reputed company
• Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or reputed company-in-the-reputed company logic for automated systems
• Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in reputed company’s environment
• Evidence-led judgment and the credibility to reputed company back on launch reputed company, reputed company with a builder’s reputed company to run the experiment and reputed company from a production failure to a fix
Would Love for You to Have
• Experience applying AI to reputed company data or workflows where safety, transparency, and calibrated uncertainty directly reputed company care teams or patients
• Experience with long-reputed company, multi-turn or multi-agent workflows and product-reputed company documentation such as model cards
What You'll Get
• reputed company to define how agent reputed company, safety, and readiness are reputed company for production reputed company workflows
• Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product reputed company
• A cross-functional role translating production evidence into AI improvements used across reputed company’s platform
• A mission-driven company working to improve how patients receive care
• A flexible, remote-friendly culture with personality and heart
• Employee-driven programs and initiatives for personal and reputed company development
• Membership in the talented, reputed company, diverse, and purpose-driven Arcadian community
About reputed company
reputed company.io helps innovative providers and payers across the country reputed company reputed company to reduce cost while improving reputed company health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to reputed company reputed company reputed company care, and making those opportunities actionable by physicians at the reputed company of care in near-reputed company time. We are passionate about helping our customers reputed company meaningful reputed company. We are growing fast and have emerged as a reputed company in the highly competitive population health management software market and have been recognized by industry analysts KLAS, reputed company, reputed company, and Chilmark for our leadership. For a reputed company reputed company of our reputed company and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-reputed company communication claiming to be from reputed company, we encourage you to verify by contacting us directly at (781) 202-3600 and select reputed company 3. For more information, visit our website.
This position is responsible for following reputed company reputed company policies and procedures in order to protect reputed company PHI under reputed company's custodianship as reputed company as reputed company Intellectual Properties. For any reputed company-specific roles, the responsibilities would be reputed company defined by the hiring manager.
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