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The Role

The client is a global financial services leader seeking a Lead AI Engineer to spearhead the design and deployment of agentic AI solutions that will be adopted across the entire company. This role blends hands-on engineering with strategic leadership in a highly skilled team to deliver AI systems that operate across complex cloud environments and impact business lines globally.

Key Responsibilities

• Build and deploy enterprise-grade AI/ML solutions (LLMs, agentic AI) in production
• Lead teams developing systems that handle millions of transactions securely and efficiently
• Architect solutions in the cloud with a focus on scalability, performance, and cost reduction
• Collaborate across business and engineering functions to ensure adoption and measurable impact
• Mentor and guide junior engineers and data scientists in best practices for enterprise AI deployment

Ideal Candidate:

• 8+ years of commercial experience with ML models
• Proven track record of deploying LLMs or advanced ML systems in enterprise production
• Strong background in large-scale consumer-facing applications or enterprise AI systems
• Blend of ML engineering + system design skills (not purely research or purely SWE)
• Experience with cloud-native AI deployments (AWS, GCP, or Azure)

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Senior Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $250,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $200,000 – $250,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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Machine Learning Engineer, LLM (Applied AI/NLP)

Location: New York (Hybrid)

Compensation: $180K-$220K base + equity + bonus

About the Company

Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.

The Role

Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.

Key Responsibilities

• Build and fine-tune LLMs for developer-focused use cases
• Optimize models using prompt engineering, RAG, and inference techniques
• Collaborate across teams to align AI capabilities with product goals
• Mentor junior ML engineers and contribute to internal innovation

What You’ll Bring

• 2-8 years in applied NLP/LLM development
• Strong Python and ML stack (PyTorch, HuggingFace, etc.)
• Experience with large code/text datasets and transformer models
• Advanced degree in CS, AI, or NLP (PhD preferred)
• Bonus: Publications in top-tier ML/NLP conferences

Why Join?

• Competitive pay + equity + bonus
• Direct impact on product innovation and IP
• Full benefits: health, vision, dental, 401(k), generous PTO

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR FULL STACK ENGINEER – HEALTHCARE & GENOMICS

$160,000 – $200,000 + BASE + EQUITY

HYBRID ROLE – SAN FRANCISCO, CA

Are you passionate about using technology to improve health outcomes and help people understand their genetics through data-driven insights?

THE COMPANY

This innovative healthtech startup is redefining personalized medicine through advanced genomics and secure data platforms. Their mission is to help patients and providers make proactive health decisions based on leading science and actionable insights.

With steady growth and new partnerships, they’re expanding their engineering team to enhance both patient and provider experiences while scaling their core data and integration systems.

THE ROLE

As a Senior Full Stack Engineer, you’ll take the lead on backend development that powers patient and provider portals and partner API integrations. You’ll collaborate closely with a talented frontend team to deliver seamless, reliable, and secure systems that handle sensitive healthcare and genetics data.

Key Responsibilities:

• Lead backend development using Python/Django
• Design and build APIs to support integrations with partner systems and EMRs
• Create and optimize database models and data workflows
• Collaborate with frontend engineers (React/TypeScript) to deliver end-to-end features
• Support the full product lifecycle – from concept through deployment
• Help shape backend architecture and scalability for future growth

YOUR SKILLS AND EXPERIENCE

The successful candidate will have:

• 6+ years of software engineering experience with a focus on Python/Django
• Proven background in API development and data model design
• Experience working cross-functionally with frontend and product teams
• Understanding of healthcare, life sciences, or genetics data preferred
• Familiarity with AWS, CI/CD, and modern DevOps practices is a plus

THE BENEFITS

• $160K-$200K base salary + equity
• Hybrid role based in San Francisco
• Opportunity to work with a small, highly skilled team making an impact in personalized healthcare

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Senior DevOps Engineer

Location: Los Angeles or Sunnyvale, CA – Hybrid

Compensation: Base to $200,000 & equity

Role Overview

Our client develops advanced conversational AI and radar-powered sensor platforms to transform digital health, enabling real-time engagement and intelligent monitoring for consumers and healthcare providers. As a DevOps Engineer, you’ll help scale and automate cloud infrastructure to support secure, high-availability health services driven by cutting-edge AI and sensor technology.

Responsibilities

• Architect and maintain cloud infrastructure for highly available, secure digital health services.
• Manage and enhance CI/CD pipelines for automated deployments.
• Operate and optimize Kubernetes clusters (AWS EKS), handling deployment, scaling, and troubleshooting.
• Collaborate with engineering teams to build infrastructure supporting radar sensors and LLM workloads.
• Implement infrastructure-as-code (Terraform, Helm) and automate monitoring/alerting.
• Monitor system health and performance with modern observability tools.
• Enforce security best practices: audits, access controls, secrets management.

Requirements

• Bachelor’s degree in a relevant field (or equivalent experience).
• 7+ years in DevOps, SRE, or infrastructure engineering.
• Deep expertise in AWS (EKS, EC2, S3, RDS, CloudWatch, IAM, VPC).
• Skilled with Docker, Kubernetes, Terraform, CI/CD tools (GitHub Actions, Jenkins, etc.).
• Experience with observability tools (Prometheus, Grafana, ELK/EFK, Datadog).
• Strong scripting ability (Python, Bash, or Go).
• Solid understanding of Linux, networking, and cloud security.
• Excellent troubleshooting and teamwork skills.

Benefits

• Competitive salary, equity, medical/dental/vision, 401(k), paid time off.

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Key Responsibilities:

• Build, automate, and maintain SQL-based data pipelines and dashboards supporting revenue forecasting, lead routing, and conversion optimization.

• Develop and enhance BI visualizations (Tableau, Sigma, Power BI) to monitor performance across channels, campaigns, and customer segments.

• Analyze key revenue metrics such as ARPU, churn, LTV, and unit economics to identify growth and efficiency opportunities.

• Translate complex data into clear, actionable insights for business stakeholders.

• Conduct A/B testing and experimentation to optimize lead flow and ROI.

• Partner with Finance and Strategy to ensure consistency and accuracy in revenue forecasting models.

• Deliver data-driven recommendations that support pricing, promotions, and customer engagement strategies.

• Continuously improve data accuracy, scalability, and visualization best practices.

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Senior Software Engineer

Technology – New York, NY (Hybrid)

$180,000 – $200,000 + Equity

About the Company

We’re working with a fast-growing, Series B startup that’s transforming hospitality tech by delivering premium experiences for both guests and resort partners. With a rapidly expanding network of luxury resorts and a loyal customer base, the company is developing cutting-edge tools to modernize how resorts operate and how guests interact with them.

The Role

We’re looking for a Senior Software Engineer to join a high-impact, cross-functional team focused on building intuitive tools for resort operators and seamless experiences for guests. This is a highly visible role with ownership over key features and the opportunity to influence the company’s technical direction. You’ll collaborate across Product, Design, and Data to deliver scalable, well-architected systems that support ambitious business growth.

What You’ll Do

• Design and implement scalable architecture to support long-term product growth
• Take ownership of mission-critical features from concept to deployment
• Collaborate closely with Product, Design, and Data to build intuitive, high-performance applications
• Contribute to and help evolve a modern AWS-based tech stack (Rails, Node.js, Postgres, MongoDB, ECS)
• Mentor junior engineers and promote best practices in engineering, architecture, and testing

What You Bring

• Deep experience with AWS-based infrastructure and backend development (Rails, Node.js)
• Proven ability to architect and scale systems in production environments
• Strong knowledge of both relational and non-relational databases (Postgres, MongoDB)
• Track record of shipping high-quality, well-tested code in fast-paced environments
• Excellent communication skills and experience working across technical and non-technical teams
• (Bonus) Experience with Python
• Passion for building products that deliver meaningful, delightful user experiences

Perks & Benefits

• Competitive base salary: $180,000-$200,000 + equity
• Comprehensive health, dental, and vision insurance
• 401(k) plan
• Generous PTO and paid parental leave
• Stock options
• Hybrid work environment (NYC HQ, 3 days onsite)

Keywords:

Staff Software Engineer, Ruby on Rails, Node.js, AWS, Postgres, MongoDB, Scalable Applications, Hospitality Tech, NYC, Equity, Cloud Engineering

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Senior Frontend Engineer

Technology

New York, NY (Hybrid)

$180,000 – $200,000 + Equity

The Company

We’re working with a fast-growing tech company based in New York that’s reinventing how people discover and access premium activity spaces. With strong industry backing and rapid national expansion, they’re elevating the guest experience and building a next-gen consumer platform.

The Role

We’re hiring a Senior Frontend Engineer to lead the evolution of the frontend experience. You’ll own architecture decisions, shape UI/UX delivery, and help scale a product already used by thousands of customers. This is a high-impact role reporting directly to senior leadership, with the opportunity to influence both technology and team direction.

Key Responsibilities

• Architect and implement scalable, maintainable frontend systems
• Collaborate with Product and Design to deliver polished, intuitive interfaces
• Lead frontend initiatives with a focus on performance and code quality
• Work within a modern stack: React, TypeScript, GraphQL, AWS, Node.js, Ruby on Rails
• Set engineering standards and build CI/CD pipelines to support fast iteration

Skills & Experience

• Deep experience with modern frontend development (React, TypeScript, JavaScript)
• Strong knowledge of performance optimization and responsive design
• Experience working with GraphQL, REST APIs, and AWS infrastructure
• Familiar with CI/CD tools, Docker, Kubernetes, and DevOps workflows
• Strong communicator with a collaborative, team-first approach

The Benefits

• $180,000 – $200,000 base + equity
• Hybrid work model (NYC-based)
• Full benefits including health, dental, vision, 401(k), and stock options

Keywords:

Frontend Engineer, React, TypeScript, JavaScript, AWS, GraphQL, Cloud Infrastructure, CI/CD, Kubernetes, DevOps, Scalable Web Applications, Performance Optimization

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REVENUE ANALYTICS MANAGER
$130,000 – $160,000 BASE + BONUS
REMOTE ROLE – U.S. BASED
EXCLUDES: WA, DC, MA, IL, VT, ME, RI, NM, PR, OH, AK, MT, SD, WV, WY, LA

THE COMPANY

This established consumer-focused organization operates nationwide, generating over half a billion dollars in annual revenue. Having grown steadily for more than a decade – without relying on outside advertising investment – the company is now expanding its Revenue Analytics function to unify analytics efforts across sales, marketing, and finance.

They combine the stability of a proven business model with the energy of a digital transformation, investing heavily in modern data infrastructure and analytics innovation. The environment is fast-moving and collaborative, offering the chance to directly impact how revenue is measured and maximized across the organization.

THE ROLE

As the Revenue Analytics Manager, you’ll lead analytical initiatives that drive measurable impact on revenue growth, conversion efficiency, and retention. This is a hands-on role for someone who thrives in fast-paced, data-driven environments and enjoys working cross-functionally to uncover opportunities across the customer funnel.

Key responsibilities include:

• Building and maintaining SQL-based dashboards and automated reporting pipelines for forecasting and performance tracking

• Designing and analyzing A/B tests and experiments to improve lead conversion, retention, and customer lifetime value

• Modeling churn, ROI, and key revenue metrics such as LTV, ARPU, and unit economics to identify growth levers

• Partnering with sales, marketing, and finance to translate data into actionable business insights

• Developing BI visualizations (Sigma, Tableau, or Power BI) to track funnel performance and optimize conversion

• Supporting initiatives that improve pricing, engagement, and acquisition efficiency across all revenue streams

YOUR SKILLS AND EXPERIENCE

You’ll bring deep analytical expertise, strong technical skills, and a commercial mindset to connect insights directly to business impact.

The ideal candidate will have:

• 6+ years of analytics experience focused on revenue, forecasting, or conversion optimization

• Advanced SQL skills and proficiency in BI tools (Sigma, Tableau, or Power BI)

• Experience with cloud data warehouses such as Snowflake

• Proven success with experimentation and A/B testing frameworks

• Strong business acumen and ability to influence cross-functional stakeholders

• Experience in consumer, fintech, eCommerce, or subscription-based organizations – especially those optimizing or purchasing leads

• Comfort operating in a fast-moving, evolving environment

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