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Purple Cow Recruiting · New York, NY

Applied AI Engineer | Hybrid | $170K–$230K + Equity

Hybridfull time$170,000 – $230,000 / yearPosted 2 days ago
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Stack mentioned

llmetlmachine-learningvector-databasesa/b-testing

Description:

Applied AI Engineer | Production AI / LLM | $170K–$230K + Equity

New York, NY | Full-Time | Approximately 3 Days/Week In Office

Yanny Almanzar

Senior Recruiter | Heartline Staffing

Call or Text: 929-523-6975

Email: [email protected]

Prefer a confidential conversation instead of applying? Call or text Yanny directly at 929-523-6975.

Heartline Staffing is recruiting an Applied AI Engineer for a full-time opportunity in New York City. This is an early-engineering role focused on building and shipping production AI systems that directly support marketplace growth, operational efficiency, revenue, and product quality.

The engineer will work closely with the founder/CEO and own AI initiatives from problem definition and architecture through production deployment, evaluation, and iteration.

IMPORTANT: This is not a research-only AI role. Candidates must have meaningful experience shipping AI/LLM functionality into production and must also have a strong full-stack engineering foundation.

COMPENSATION

- $170,000–$230,000 annual base salary

- Equity

- Relocation support available for strong candidates

WORK ARRANGEMENT

- Full-time, permanent

- New York City

- In-person collaboration strongly preferred

- Approximately 3 days per week in office

ROLE FOCUS

- Approximately 60% AI / Machine Learning

- Approximately 40% Product / Full-Stack Engineering

AI / ML RESPONSIBILITIES

- Select and evaluate models based on product and business requirements.

- Develop and refine prompts, fine-tuning approaches, and LLM workflows.

- Build with embeddings and vector databases.

- Develop AI evaluation and experimentation systems.

- Build and maintain data pipelines supporting AI functionality.

- Deploy, monitor, evaluate, and continuously improve production AI systems.

PRODUCT ENGINEERING RESPONSIBILITIES

- Build APIs and backend services supporting AI-powered functionality.

- Develop product integrations and AI-enabled features.

- Support UI integration of AI functionality.

- Build production infrastructure supporting AI systems.

- Translate ambiguous business problems into practical production solutions.

WHAT YOU'LL BUILD

- Candidate-to-job matching systems designed to improve placement quality and speed.

- Intelligent automation replacing manual marketplace workflows.

- AI-powered classification, extraction, content generation, and search functionality.

- Evaluation and experimentation systems focused on accuracy and consistency.

- Production AI features informed by real-world user feedback.

- Internal tooling and infrastructure supporting faster AI development and iteration.

Requirements:

Requirements

- 4+ years of engineering experience REQUIRED

- Meaningful experience shipping AI / LLM features into production REQUIRED

- Experience owning AI projects end-to-end, from problem definition through deployment and iteration REQUIRED

- Strong understanding of model selection, data pipelines, deployment, evaluation, and iteration REQUIRED

- Experience working with LLM APIs REQUIRED

- Experience with embeddings REQUIRED

- Experience with vector databases REQUIRED

- Experience with fine-tuning REQUIRED

- Strong full-stack web development foundation REQUIRED

- Ability to connect technical decisions to measurable business outcomes REQUIRED

- Must be legally authorized to work in the United States without sponsorship REQUIRED

- Ability to work approximately 3 days per week in the New York City office REQUIRED

Preferred

- Early-stage or high-growth startup experience

- Founding-team engineering experience

- Recruiting or talent-industry experience

- Marketplace experience

- Matching, search, or recommendation-system experience

Not ready to formally apply? That's completely fine. Many professionals prefer a confidential conversation first.

Call or text Yanny directly at 929-523-6975.

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