Senior Software Engineer AI Systems
New York City, NY - USA
Job Summary
Senior Software Engineer (Agentic AI / Healthcare)
Location: New York NY (Manhattan) Hybrid (3 days onsite)
Compensation: $150000$250000 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 theyre scaling quickly and expanding their AI product line.
As an early engineering hire youll 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 accessintake coordination utilization management and clinical servicesso 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: youll 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 Youll 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 accesswhere execution quality matters and the impact is tangible.
Required Experience:
Senior IC
About Company
Nxt Level is a recruiting agency specializing in high-level technical recruiting in engineering, video games, and executive search.