NxT Level
New York City, New York
Job DescriptionJob Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000-$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) Integrate with healthcare data standards and legacy pharmacy systems Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications 5+ years of software engineering experience with a strong backend focus Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) Strong API design skills (clean, versioned APIs) Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability Cloud experience (Azure, AWS, or GCP) Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves Experience integrating with healthcare/pharmacy systems or healthcare data standards Experience building evaluation harnesses for agent reliability and hallucination mitigation Prior work in regulated environments where correctness and auditability matter Compensation & Perks Competitive compensation: $150k-$250k base + stock options Full medical, dental, vision coverage Unlimited PTO + 2 weeks company-wide holiday closure Complimentary breakfast daily and weekly team lunches (in-office) Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access-where execution quality matters and the impact is tangible.
Job DescriptionJob Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000-$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) Integrate with healthcare data standards and legacy pharmacy systems Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications 5+ years of software engineering experience with a strong backend focus Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) Strong API design skills (clean, versioned APIs) Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability Cloud experience (Azure, AWS, or GCP) Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves Experience integrating with healthcare/pharmacy systems or healthcare data standards Experience building evaluation harnesses for agent reliability and hallucination mitigation Prior work in regulated environments where correctness and auditability matter Compensation & Perks Competitive compensation: $150k-$250k base + stock options Full medical, dental, vision coverage Unlimited PTO + 2 weeks company-wide holiday closure Complimentary breakfast daily and weekly team lunches (in-office) Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access-where execution quality matters and the impact is tangible.
NxT Level
Boston, Massachusetts
Job DescriptionJob Description Senior or Staff Data Platform Engineer Overview We are standing up a new data platform organization from the ground up. The mission is to bring together fragmented data systems across multiple vertical entities into a unified, governed, AI-ready platform. This team will define the technical foundation that powers the organization's data ecosystem, from core data infrastructure through the enablement of future AI-native workflows and applications. As a Senior/Staff Data Platform Engineer, you will play a critical role in designing and building foundational platform capabilities. This role is for someone who can operate with autonomy, move quickly, and make thoughtful technical decisions that balance immediate needs with long-term scale. What You'll Do Design and build scalable platform services for data ingestion, storage, transformation, and access Create reusable systems and frameworks that support multiple teams and business units Contribute to data governance, lineage, consistency, and platform standards Help establish best practices around data modeling, architecture, and platform reliability Work closely with solutions engineers, AI engineers, and leadership to ensure the platform supports downstream workflows and applications Evaluate and introduce new tools where appropriate while maintaining a long-term architectural lens Mentor less experienced engineers and help raise the bar for platform engineering across the team What We're Looking For 5+ years of experience in data engineering, platform engineering, or backend infrastructure Strong hands-on experience with Python, Java, or similar languages Experience with platforms such as Snowflake, Databricks, or related data ecosystems Strong understanding of data modeling, governance, storage design, and scalable system architecture Experience building shared internal platforms, frameworks, or infrastructure used by multiple teams Ability to operate with high ownership in ambiguous, fast-moving environments Strong communication and collaboration skills Ideal Profile Has built platform capabilities in high-scale or highly autonomous engineering environments Understands how to build for the future while still iterating quickly Can zoom out and think about platform leverage, not just isolated data problems Thrives in a build-from-scratch setting
Job DescriptionJob Description Senior or Staff Data Platform Engineer Overview We are standing up a new data platform organization from the ground up. The mission is to bring together fragmented data systems across multiple vertical entities into a unified, governed, AI-ready platform. This team will define the technical foundation that powers the organization's data ecosystem, from core data infrastructure through the enablement of future AI-native workflows and applications. As a Senior/Staff Data Platform Engineer, you will play a critical role in designing and building foundational platform capabilities. This role is for someone who can operate with autonomy, move quickly, and make thoughtful technical decisions that balance immediate needs with long-term scale. What You'll Do Design and build scalable platform services for data ingestion, storage, transformation, and access Create reusable systems and frameworks that support multiple teams and business units Contribute to data governance, lineage, consistency, and platform standards Help establish best practices around data modeling, architecture, and platform reliability Work closely with solutions engineers, AI engineers, and leadership to ensure the platform supports downstream workflows and applications Evaluate and introduce new tools where appropriate while maintaining a long-term architectural lens Mentor less experienced engineers and help raise the bar for platform engineering across the team What We're Looking For 5+ years of experience in data engineering, platform engineering, or backend infrastructure Strong hands-on experience with Python, Java, or similar languages Experience with platforms such as Snowflake, Databricks, or related data ecosystems Strong understanding of data modeling, governance, storage design, and scalable system architecture Experience building shared internal platforms, frameworks, or infrastructure used by multiple teams Ability to operate with high ownership in ambiguous, fast-moving environments Strong communication and collaboration skills Ideal Profile Has built platform capabilities in high-scale or highly autonomous engineering environments Understands how to build for the future while still iterating quickly Can zoom out and think about platform leverage, not just isolated data problems Thrives in a build-from-scratch setting