Talent Search PRO
We’re looking for a
senior, hands‑on software engineer
to design, build, and operate
LLM‑powered and agentic workflows
that support real production use cases—not research demos.
This role sits at the intersection of
backend engineering, applied AI, and production infrastructure . You’ll work on systems that handle sensitive healthcare data, integrate AI into user‑facing workflows, and run reliably at scale under strict security and compliance constraints.
This is an
individual contributor role
with high ownership. You’ll be expected to make pragmatic technical decisions, collaborate closely with product and operations, and help shape how AI capabilities are integrated into the broader platform.
What You’ll Be Doing
Designing and operating
LLM‑powered and agentic workflows
end‑to‑end
Integrating AI capabilities into backend and product workflows
Building and maintaining
secure, compliant systems
for sensitive healthcare data
Making technical decisions around
security, compliance, cost, performance, and scalability
of AI workloads
Implementing monitoring, alerting, and observability for AI pipelines and production services
Collaborating cross‑functionally with engineering, product, and operations teams
Mentoring engineers on backend best practices and applied AI workflows
Must‑Haves
5+ years of professional software engineering experience
Strong backend and/or full‑stack engineering background from
B2B SaaS or product‑driven startups
Experience deploying
secure, reliable systems
on cloud platforms (AWS, GCP, or Azure)
Demonstrated ability to build and operate
production systems , not just prototypes
Comfort working with non‑engineers and translating product requirements into technical solutions
Hands‑on experience integrating
LLMs into real applications
(prompting, orchestration, evaluations, or agents)
This role favors engineers who have
owned AI workflows in production , not candidates coming purely from research, data science, or director‑level roles.
Nice‑to‑Haves
1+ year of experience designing AI workflows end‑to‑end in production
Experience leading AI infrastructure or platform projects at an early‑stage startup
Contributions to engineering architecture or coding standards
Experience with containerization and orchestration ( Docker, Kubernetes )
Infrastructure‑as‑code experience ( Terraform, Pulumi )
Exposure to early‑stage product ideation for AI‑enabled features
What This Role Is (and Isn’t)
✅ A
senior IC role
with strong ownership
✅ Applied AI + backend engineering, focused on real users and real constraints
✅ Startup environment with cross‑functional collaboration
❌ Not a director‑level or people‑management role
❌ Not an AI research or purely scientific role
❌ Not suitable for candidates without hands‑on LLM or agentic workflow experience
❌ Not remote‑only or relocation‑friendly
Location & Work Setup
Location:
New York City
Work model:
Hybrid (in office Monday, Wednesday, Thursday)
Relocation:
Not available
Visa sponsorship:
Available
Compensation
Base salary:
$190,000 – $250,000
Equity:
Offered (details TBD)
#J-18808-Ljbffr
senior, hands‑on software engineer
to design, build, and operate
LLM‑powered and agentic workflows
that support real production use cases—not research demos.
This role sits at the intersection of
backend engineering, applied AI, and production infrastructure . You’ll work on systems that handle sensitive healthcare data, integrate AI into user‑facing workflows, and run reliably at scale under strict security and compliance constraints.
This is an
individual contributor role
with high ownership. You’ll be expected to make pragmatic technical decisions, collaborate closely with product and operations, and help shape how AI capabilities are integrated into the broader platform.
What You’ll Be Doing
Designing and operating
LLM‑powered and agentic workflows
end‑to‑end
Integrating AI capabilities into backend and product workflows
Building and maintaining
secure, compliant systems
for sensitive healthcare data
Making technical decisions around
security, compliance, cost, performance, and scalability
of AI workloads
Implementing monitoring, alerting, and observability for AI pipelines and production services
Collaborating cross‑functionally with engineering, product, and operations teams
Mentoring engineers on backend best practices and applied AI workflows
Must‑Haves
5+ years of professional software engineering experience
Strong backend and/or full‑stack engineering background from
B2B SaaS or product‑driven startups
Experience deploying
secure, reliable systems
on cloud platforms (AWS, GCP, or Azure)
Demonstrated ability to build and operate
production systems , not just prototypes
Comfort working with non‑engineers and translating product requirements into technical solutions
Hands‑on experience integrating
LLMs into real applications
(prompting, orchestration, evaluations, or agents)
This role favors engineers who have
owned AI workflows in production , not candidates coming purely from research, data science, or director‑level roles.
Nice‑to‑Haves
1+ year of experience designing AI workflows end‑to‑end in production
Experience leading AI infrastructure or platform projects at an early‑stage startup
Contributions to engineering architecture or coding standards
Experience with containerization and orchestration ( Docker, Kubernetes )
Infrastructure‑as‑code experience ( Terraform, Pulumi )
Exposure to early‑stage product ideation for AI‑enabled features
What This Role Is (and Isn’t)
✅ A
senior IC role
with strong ownership
✅ Applied AI + backend engineering, focused on real users and real constraints
✅ Startup environment with cross‑functional collaboration
❌ Not a director‑level or people‑management role
❌ Not an AI research or purely scientific role
❌ Not suitable for candidates without hands‑on LLM or agentic workflow experience
❌ Not remote‑only or relocation‑friendly
Location & Work Setup
Location:
New York City
Work model:
Hybrid (in office Monday, Wednesday, Thursday)
Relocation:
Not available
Visa sponsorship:
Available
Compensation
Base salary:
$190,000 – $250,000
Equity:
Offered (details TBD)
#J-18808-Ljbffr