Distyl AI

Production Engineer

• Own the performance and reliability characteristics of AI systems deployed in customer environments
• Design, build, and operate low-latency AI services—including real-time voice and interaction pipelines—as well as large-scale batch processing workflows that execute complex AI workloads reliably
• AI Production Engineers are the escalation point for performance and reliability risk, and have veto power on launches that violate production constraints
• Deeply involved in system design, implementation, and operation, investigating performance bottlenecks, failure modes, and scaling limits across AI pipelines, APIs, orchestration layers, and infrastructure
• Design and evolve observability systems—metrics, logs, tracing, alerts—that make AI behavior understandable and actionable in production
• Work directly with Forward Deployed AI Engineers, Product Engineers, and Architects to ensure that production constraints meaningfully shape system design
• Step in on high-risk or high-impact issues, debug live systems, and harden AI services so they can operate continuously under real-world load
• Help turn one-off production solutions into reusable patterns and platform capabilities, raising the overall production bar for Distyl’s AI systems over time

AI Production Engineer

AI Engineer

• Own the behavior and performance of AI systems deployed for customers
• Design and implement compound AI workflows that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real SME needs
• Operate on live systems, measuring behavior, identifying failure modes, and iterating rapidly to improve quality, reliability, and usefulness. This includes designing prompts and agent logic, building evaluation frameworks, integrating feedback loops, and using AI-driven tools to accelerate debugging and experimentation
• Integrate AI systems into customer data platforms, APIs, and existing applications. You'll make pragmatic system design decisions that balance speed, robustness, and maintainability, and ensure systems remain understandable and operable over time
• Work directly with customer stakeholders—often in high-visibility settings—and are expected to reason clearly about system behavior, tradeoffs, and limitations.
• Take accountability for outcomes in production and adapt systems as requirements evolve

Forward Deployed AI Engineer

• Own the technical shape of AI systems deployed in customer environments
• Define how models, agents, data pipelines, APIs, and orchestration layers fit together, how those systems integrate with existing enterprise infrastructure, and how they are operated safely and reliably at scale. Their focus is on cross-cutting architectural patterns that span multiple customer systems, ensuring consistency, safety, and long-term evolvability across deployments
• Hands-on throughout the lifecycle—building reference implementations, reviewing and evolving production systems, and stepping in directly on high-risk or high-impact technical problems
• Accountable for architectural coherence across teams and over time, ensuring that systems remain composable, secure, observable, and adaptable as requirements evolve
• Investigate how AI systems, legacy systems, and human operators interact in practice.
• Identify failure modes, risk surfaces, and integration bottlenecks, and establish guardrails and patterns that allow teams to move quickly without sacrificing safety, auditability, or correctness
• Act as peers to senior technical leaders in customer engagements—whiteboarding architectures, pressure-testing assumptions, and translating business objectives into concrete, executable system designs. They influence direction through clarity of reasoning and demonstrated delivery, not escalation

Forward Deployed AI Architect

Full-stack Engineer

• Own the design and implementation of user-facing applications that sit directly on top of AI systems
• Build interfaces and workflows for knowledge capture, system configuration, evaluation, and feedback
• Accountable for whether human interactions with AI systems produce high-quality signal that measurably improves system behavior over time
• Partner with AI Strategists to understand customer goals, domain constraints, and success metrics
• Help shape how domain knowledge and business intent are encoded into workflows, schemas, and interfaces
• Work across the full stack—front end, back end, and data—to deliver cohesive product experiences
• Study how humans and AI systems interact in real workflows
• Iterate quickly in production, using real user behavior and system outcomes to refine both the product experience and the AI systems
• Ownership of shipped product experiences and adapt them as customer needs, business objectives, and AI capabilities evolve

AI Product Engineer

Artificial Intelligence

• Design and implement evaluation frameworks that enable Evaluation-Driven Development for AI systems deployed in customer environments
• Define how system quality is measured in each domain, ensuring that evaluation signals reflect real user needs, domain constraints, and business objectives
• Build and maintain golden test cases and regression suites in Python, using both human-authored and AI-assisted test generation to capture critical behaviors and edge cases. These test suites are treated as first-class system components that evolve alongside the AI system itself
• Develop and maintain evaluation pipelines—offline and online—that integrate directly into system iteration loops. Evaluation results inform prompt design, agent logic, model selection, and release readiness, ensuring that system changes are driven by measurable improvements rather than intuition alone
• Define, calibrate, and operate LLM-based graders, aligning automated judgments with expert human assessments. They investigate where evaluation signals diverge from real-world outcomes and refine grading approaches to maintain signal quality as systems and domains evolve
• Work closely with Forward Deployed AI Engineers, Architects, Product Engineers, AI Strategists, and domain experts to ensure evaluation frameworks meaningfully guide system development and deployment in production

AI Evaluation Engineer

Financial Planning and Analysis

• Own monthly close execution end-to-end, including journal entries, reconciliations, cutoffs, and balance sheet integrity
• Apply strong accounting judgment to complex or ambiguous transactions and flag issues early
• Maintain high standards for documentation, reconciliations, and internal controls
• Perform monthly variance and trend analysis, investigating what changed, why it changed, and whether it makes sense
• Translate financial results into clear operational explanations for finance leadership
• Own day-to-day billing, collections, and revenue recognition execution
• Own payroll accounting end-to-end: payroll journal entries, accruals, balance sheet reconciliations, payroll tax filing oversight, and stock-comp payroll inputs, coordinating with People Ops on employee-facing administration
• Build, document, and improve close workflows, reconciliations, and finance processes with scalability and audit readiness in mind
• Support cash management, forecasting inputs, and operational reporting, including vendor commitment tracking and renewal visibility
• Help build audit readiness progressively: draft and maintain GAAP accounting policies, standardize monthly support schedules, strengthen internal controls, and support auditor selection and coordination
• Identify process gaps and implement practical solutions across finance operations, including spend controls, approval workflows, and procurement processes as the function scales

Finance Operations Lead

Account Executive

• Own and close complex, multi-stakeholder enterprise deals for Distyl’s healthcare solution offerings
• Lead long-cycle sales processes involving Clinical Ops, Medical Directors, Revenue Cycle, IT, Data, Security and Compliance stakeholders
• Sell packaged, outcome-driven healthcare solutions, including prior authorization decisioning, utilization management, clinical and administrative workflow automation, policy interpretation, and judgment-heavy operational decisioning, to senior leaders across Clinical Operations, Medical Management, Revenue Cycle, and Technology at large healthcare organizations
• Build trusted relationships with senior healthcare executives (SVP/VP Clinical Ops, Medical Directors, COO, CIO, Chief Digital/Data Officers)
• Run executive-level conversations focused on outcomes, ROI, operational reliability and governance, not models or tooling
• Shape solution scope, success metrics, and commercial terms in partnership with Solutions, Product, and Implementation teams
• Navigate procurement, security, compliance and legal processes to close high-ACV, multi-year healthcare solution deals
• Expand strategic accounts by selling additional healthcare solution modules and follow-on use cases

Strategic Account Executive, Healthcare Solutions

• Own and close complex, multi-stakeholder enterprise deals for Distyl’s CX solution offerings.
• Lead long-cycle sales processes involving CX, Operations, IT, Data, and Security stakeholders.
• Sell solutions tied to measurable CX and revenue outcomes.
• Position and sell a defined set of Customer Experience solutions, including conversational commerce (voice, chat, email), agent assist, next-best-action and personalization, proactive retention and resolution, and upsell opportunities.
• Guide customers through structured discovery that maps CX pain points to specific Distyl solution offerings, avoiding open-ended or bespoke scoping.
• Build trusted relationships with senior executives (SVP/VP CX, COO, CIO, CDO).
• Run executive-level conversations focused on outcomes, ROI, and operational impact, not features or models.
• Shape solution scope, success metrics, and commercial terms in partnership with Solutions, Product, and Implementation teams.
• Navigate procurement, security, and legal processes to close high-ACV, multi-year CX solution deals.
• Expand strategic accounts by selling additional CX solution modules and follow-on use cases.
• Partner closely with delivery teams to ensure outcomes translate into expansion, renewals, and customer references.
• Maintain a strong point of view on the CX AI landscape, competitive positioning, and buyer priorities.
• Feed market feedback into CX solution packaging, pricing, and GTM strategy.

Strategic Account Director – CX Solutions

Growth Marketing

• Partner with Strategic Advisors, shaping proposals, guiding contracting processes, and supporting deal closure
• Work closely with delivery teams to scope opportunities, align on success metrics, and ensure projects deliver measurable clinical and operational impact
• Navigate complex healthcare stakeholder environments including C-suite, clinical leadership, IT, compliance, and procurement
• Serve as connective tissue across Distyl teams, ensuring smooth handoffs and coordinated execution in healthcare engagements
• Manage complex workstreams with enterprise healthcare clients
• Represent Distyl with healthcare executive stakeholders, building trusted relationships
• Bring curiosity and insight to AI/LLM applications in healthcare

Growth Operator – Healthcare

Manager

• Lead the execution of large-scale AI programs at Fortune 100 clients in the healthcare industry.
• Manage complex client relationships and set customer expectations.
• Oversee successful execution of healthcare projects ensuring they meet business objectives.
• Regularly report on program status to senior executives, technical teams, and business leaders.
• Structure delivery efforts to maximize impact and efficiency.
• Engage in various delivery activities such as project scrums and requirements gathering.

Delivery Manager – Healthcare Technology Programs

• Build LLM-Powered Systems
• Design, implement, and deploy GenAI applications under the guidance of senior engineers.
• Contribute to prompt design, agent logic, retrieval-augmented generation (RAG), and model evaluation.
• Help build full-stack AI applications that deliver measurable business value.
• Learn Through Customer-Focused Work
• Gain exposure to customer-facing work by initially shadowing technical conversations and learning how business needs are translated into system design, with opportunities over time to take on more responsibility in technical decision-making and implementation.
• Partner with senior engineers to understand customer problems and translate requirements into technical solutions.
• Participate in customer discussions, solution design sessions, and iterative delivery.
• Contribute to Our Platform
• Help improve Distillery, Distyl’s internal LLM application platform, by building reusable components, tools, and workflows.
• Learn best practices for scalable, maintainable AI infrastructure.
• Deliver Production-Quality Code
• Write clean, well-tested, and observable code that meets reliability, performance, and security standards.
• Learn how production AI systems are monitored, debugged, and improved over time.
• Evaluate and Improve AI Systems
• Assist with evaluating AI systems across accuracy, latency, cost, and robustness.
• Apply feedback from users and metrics to improve system performance.
• Grow as an Engineer
• Continuously develop your skills in LLMs, software engineering, and AI through mentorship, code reviews, and hands-on project work.
• Learn modern development workflows and deployment practices used in enterprise AI.