Applied AI Engineer Engineering • SF bay area, US.

New Resilience LLC; Mission, Northern (KS, KY); Ibrido; USD 110.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health Insurance

15 Holidays

Team dinners

Off-sites

Descrizione del lavoro

New Resilience, a mission-driven startup, is hiring an Applied AI Engineer to embed reliable, secure AI into our CRM products. You will own the agent runtime, tool interfaces, data access controls, evaluation harnesses, observability, and safe execution, shipping features end-to-end from idea to production.

You'll collaborate with a world-class team, influence technical direction, and grow into leadership. We value first-principles thinking and a bias for action, with autonomy to experiment.

Competenze

• Shipped LLM-powered features into production with tool use, retries, and safe rollouts.
• Strong grounding in modern deep learning and LLM systems.
• Experience building production services (APIs, async workers, data models).

Mansioni

• Drive AI innovation by prototyping and delivering customer-facing AI systems.
• Build agentic workflows in production with human-in-the-loop controls.
• Own the tool and action layer with strict contracts.
• Enforce security and privacy by design with least-privilege access and PHI handling.
• Build evaluation suites, regression tests, and production monitoring.
• Iterate quickly using user feedback to improve prompts and workflows.
• Contribute to core backend architecture including APIs and async jobs.

Conoscenze

Backend engineering

Python

LLM systems

AI model lifecycle

Security mindset

Evaluation & testing

Communication

Cloud platforms

Strumenti

JSON schema (Pydantic)

GCP (Cloud Run, GKE)

Pub/Sub / Cloud Tasks

CI/CD

Descrizione del lavoro

New Resilience helps behavioral-health treatment centers lower client acquisition cost and increase admissions with an AI-native CRM, Alumni engagement tools, and a Referral Community that drives trusted, lower-cost referrals. We’re backed by respected operators in the space and used daily by admissions & outreach teams.

One step at a time, we’re on a mission to improve access to care using AI.

The Role

As an Applied AI Engineer, you will play a pivotal role in to building reliable, secure, agentic AI directly into our products. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You’ll own the agent runtime and the systems around it: tool interfaces, permission-scoped data access, evaluation harnesses, observability, and safe execution. You’ll work closely with product and backend engineering to ship features end-to-end . This is a high-impact role where you’ll own projects from idea to production, and your contributions will directly shape our product and technical trajectory.

You will collaborate with a world-class team to build innovative, scalable systems. As part of our fast-paced startup, you’ll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude – you will have broad autonomy to experiment and iterate in pursuit of the best solutions.

What you’ll do

Drive AI Innovation: Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges.

Build agentic workflows in production: Design and implement AI agents that can take actions across workflows (e.g., follow-ups, task creation, data enrichment, summaries, etc.), with clear boundaries and human-in-the-loop controls where needed.

Own the tool and action layer: Define strict tool/function contracts (schemas, validations, idempotency) so the model can safely query and update CRM data without hallucinating fields or performing unsafe actions.

Security and privacy by design : Enforce least-privilege access, row-level permissions, redaction, audit logging, and safe handling of PHI across prompts, logs, and integrations.

Reliability, evaluation, and monitoring: Build evaluation suites for agent success (task completion, correctness, groundedness, safety), set up regression tests, and instrument production monitoring for failures, latency, and quality.

Iterate fast with feedback loops: Turn user feedback and real usage data into better prompts, workflows, retrieval, and guardrails. Improve quality without sacrificing safety.

Contribute to core backend architecture: Collaborate on APIs, async jobs, background processing, and data model changes needed to support agentic features at scale.

You may be a fit if you have

Applied AI experience: You’ve shipped LLM-powered features into production and you know how to make them reliable: tool use, retries, fallbacks, monitoring, and safe rollouts. Solid grounding in modern deep learning and LLM systems, including test-time compute/inference-time scaling, training and eval best practices, and data/feedback loops (e.g., self-supervised learning, synthetic data, active learning, automated data collection).

Strong backend engineering: 2+ years of backend engineering experience shipping production services (APIs, data models, background jobs). Strong Python skills and comfort in production services (APIs, async workers, background jobs). GCP experience building and running services on Google Cloud (e.g., Cloud Run or GKE, Cloud SQL, Pub/Sub/Cloud Tasks, Logging/Monitoring).

Agent/tooling fundamentals: Experience with function/tool calling, schema enforcement (JSON schema/Pydantic), workflow orchestration/state machines, and preventing destructive actions (approval gates, dry-runs, allowlists).

Security mindset (privacy / compliance friendly): You’ve worked on systems with sensitive data and understand permissioning, audit logs, redaction, secrets management, and how to avoid leaking data through prompts/logs.

Evaluation discipline: You know how to define “correct,” build test sets, run regression evals, and measure improvement over time.

Clear communicator, low-ego collaborator: You explain tradeoffs clearly, move quickly, and enjoy building in a fast-paced environment.

Build category-defining agentic workflows: for a trust-based industry that needs better tools

High ownership: you’ll shape the agent architecture and what “autonomous” means in a real product

Health, Dental, and Vision Insurance.

15 Paid Holidays.

Frequent team dinners, events, and off-sites.

Accelerate critical tasks with New Resilience AI products. Let’s explore how New Resilience can support your facility's needs.