---
title: 'SuperDial - Applied AI at Deploy Talent'
canonical: 'https://feeny.ai/job/superdial-applied-ai-deploy-talent-san-francisco-cjnq713psfek'
type: 'job'
last_seen: '2026-09-13'
---

# SuperDial - Applied AI at Deploy Talent

- **Company:** Deploy Talent
- **Location:** San Francisco, CA
- **Compensation:** $200k–$275k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-30
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/openreqstaffing/am9icG9zdDp3iBXc-M4QcRVe0w9U-xMb

## Job description

SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing APIs, pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. If you want to push LLMs beyond demos into mission-critical healthcare workflows, we’d love to hear from you. About the Role:

- Backend for LLMs – Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
- Data & Retrieval Pipelines – Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data.
- LLMOps & Observability – Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
- Performance & Optimization – Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.
- Security & Compliance – Implement HIPAA-ready infrastructure, data governance, and auditability for LLM-powered applications.
- Cross-Functional Collaboration – Partner with product, ML engineers, and healthcare experts to translate business workflows into robust backend systems.
- Technical Leadership – Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in LLM system design. About You:
- 5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications.
- Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript).
- Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.).
- Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale.
- Cloud-native expertise: AWS/GCP/Azure, Kubernetes, Docker, Terraform, etc.
- Familiarity with MLOps/LLMOps practices: CI/CD for models, evaluation harnesses, monitoring, and reproducibility.
- Excellent system design skills and the ability to align technical architecture with product goals. Preferred Qualifications:
- Experience applying LLMs in healthcare or other regulated industries (FHIR, HL7, HIPAA).
- Hands-on experience with RAG pipelines, vector databases, and structured-output orchestration.
- Background in enterprise SaaS or mission-critical platforms where uptime, latency, and scale matter.
- Knowledge of responsible AI, safety, and privacy-preserving ML techniques. What’s in it for you?
- The opportunity to apply cutting-edge AI to one of the world’s most important industries.
- A leadership role with ownership over core ML/LLM systems and influence on technical direction.
- Competitive salary, equity options, and benefits, including health, dental, and vision coverage.

## About Deploy Talent

## Company Overview
- **One-liner**: Deploy Talent is a boutique executive search and technical recruiting firm that embeds with early-stage AI and deep tech companies to hire the people no one else can reach.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Newport Beach, California, United States (with offices in New York, San Francisco, and London)
- **Founded**: 2023 (originally launched as PLVCK, rebranded to Deploy in April 2025)
- **Founders**: Estephania (Steph) Stopani (CEO, Co-Founder) and Eric McLintock (COO, Co-Founder)

## Core Business
- **Primary industry/industries**: Executive Search Services, Technical Recruiting, Talent Acquisition
- **Target customers**: Pre-seed to Series B+ technology companies, particularly in AI, deep tech, and robotics; also works with venture capital firms who fund searches for their portfolio companies.
- **Mission or purpose statement**: “The recruiters founders actually call.” Deploy Talent positions itself as talent infrastructure for early-stage AI and deep tech, operating on a model where recruiters have personally hired at the level they recruit for.

## Products & Services
- **The Container Model**: A fixed monthly retainer that secures a defined block of recruiting capacity (typically 1–3 active roles at a time). Includes dedicated lead recruiter + sourcing support, weekly syncs with hiring managers, and the ability to flex roles within the engagement. On top of the retainer, a placement fee is paid per successful hire. Engagements are offered in 3, 6, or 12-month durations.
- **Embedded Recruiting**: Recruiters attend client standups, meet hiring managers weekly, see the roadmap, and adjust scope as priorities change without renegotiating fees.
- **Venture Fund Partnerships**: Deploy Talent works with lead investors who fund the Container retainer as part of their post-investment platform support, or with portfolio companies directly.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (privately held, bootstrapped).
- **Key Metric**: Total headcount of 13 employees; LinkedIn followers of 1,230 (monthly growth of +5.6%).
- **Notable Investors/Partners**: The firm is bootstrapped. Client/partner names are not fully disclosed, but the firm has placed talent at companies including Ocean Advisor, Genesis AI (a global physical AI lab), and Rovi Health.
- **Growth Signals**: Rebranded from PLVCK to Deploy in April 2025; operates four offices (Newport Beach HQ, New York, San Francisco, London); actively hiring with 1 open job posting as of the latest data; talent sources include Anthropic, Tenstorrent, Waymo, Applied Intuition, and Aquabyte.

## Competitive Advantages
- **Founder-led, boutique model**: Both co-founders are hands-on recruiters who have personally hired at the level they recruit for. The team is intentionally small (13 people) and senior (38% senior-level staff).
- **The Container model**: A retainer + placement fee structure that aligns incentives — the firm is paid for capacity and outcomes, not just activity. This is distinct from contingency or pure retained search.
- **Embedded approach**: Recruiters attend client standups and see the roadmap, allowing them to find candidates who fit not just a job description but the evolving needs of a startup.
- **Deep tech specialization**: Focused exclusively on early-stage AI, deep tech, and robotics companies, giving them a narrow but deep network in a high-demand market.
- **Alumni network**: Alumni have gone to Nominal, Aurora, and Hotplate, indicating a strong track record of placing talent into high-growth companies.

## Strategic Focus
- **Current priorities**: Scaling the Container model with more early-stage AI and deep tech clients; expanding their footprint in the US and UK (London office); building out their own team by hiring recruiters who can operate with the same embedded, senior-level approach.
- **Direction for growth**: Deploy Talent is actively hiring recruiters (as announced in September 2025) to keep up with demand from “some of the fastest growing, game-changing AI companies.” The firm is also deepening its partnerships with venture capital firms to fund placements for portfolio companies.

## Why Work Here
- **Culture highlights**: The team is described as “small” and “senior,” with every team member having been an early hire somewhere. The firm emphasizes that recruiters are embedded with founders by background, not by job description. The culture appears to be high-autonomy, high-trust, and founder-centric.
- **Remote/hybrid/office policy**: The open position (Commercial Litigation Attorney) is listed as “Hybrid,” suggesting a flexible work model. The firm has physical offices in New York, San Francisco, Newport Beach, and London.
- **Notable perks or engineering culture**: Deploy Talent’s own team is built from people who have worked at companies like Anthropic, Tenstorrent, Waymo, and Applied Intuition. The firm’s recruiting team is heavy on engineering and technical hiring (roles include Full-Stack & Backend Engineering, Technical Recruiting). The firm’s approach is designed to appeal to recruiters who want to work deeply with startup founders rather than operate as transactional headhunters.

## Sources
1. [deploytalent.com](https://deploytalent.com)
2. [deploytalent.com/team](https://deploytalent.com/team)
3. [deploytalent.com/approach](https://deploytalent.com/approach)
4. [deploytalent.com/work](https://deploytalent.com/work)
5. [deploytalent.com/contact](https://deploytalent.com/contact)
6. [linkedin.com/company/deploytalentco](https://linkedin.com/company/deploytalentco)

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