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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

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Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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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.

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Senior AI Engineer

$175,000 Base Salary

Location: Pittsburgh, PA (Onsite)

THE COMPANY

This organisation operates within a highly secure, mission‑critical environment and is scaling its advanced AI engineering function. They focus on building intelligent, autonomous systems that streamline complex operational workflows and support high‑stakes decision‑making. The work is deeply technical, fast‑moving, and has genuine real‑world impact.

THE ROLE

You’ll be joining a small, high‑calibre engineering team focused on next‑generation agentic AI. The position involves building multi‑agent architectures, long‑horizon planning systems, and robust tools that enable agents to operate reliably at scale.

The ideal candidate loves solving ambiguous technical problems, has shipped LLM‑driven systems end‑to‑end, and thrives in a startup‑style environment.

KEY RESPONSIBILITIES

• Design and build advanced agent‑based systems with planning, routing, memory, and tool‑use capabilities
• Develop modular “skills” and components that integrate with internal services and data pipelines
• Own architectural standards, scalability, and system reliability
• Implement evaluation frameworks, behavioural telemetry, and regression testing
• Partner closely with product and implementation teams to address complex operational challenges

EXPERIENCE REQUIRED

• 5+ years building production ML or LLM-powered systems
• Strong Python engineering background
• Hands‑on experience with LLM integration, agent frameworks, and cloud infrastructure (AWS preferred)
• Proven ability to build systems end‑to‑end in high‑ambiguity, high‑impact environments
• Familiarity with Git, CI/CD, and modern engineering best practices

DESIRABLE EXPERIENCE

• Multi‑agent coordination, tool orchestration, or agentic system design
• Exposure to startup or rapid‑growth engineering teams
• Eligibility for work in secure environments
• Experience with front‑end frameworks (React/Next.js) is a bonus

THE OFFER

• $175,000 base salary
• High‑impact projects with substantial autonomy
• Chance to shape a new generation of agentic AI capabilities
• Work with exceptional technical peers in a deeply mission‑driven setting

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Staff AI Engineer

(Hands‑on, LLM Platforms, Technical Lead)

Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside

The Opportunity

An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.

This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.

The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.

The Role

You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.

Responsibilities include:

• Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
• Owning end‑to‑end system architecture, performance, and scalability
• Developing AI tools to support research, monitoring, knowledge discovery, and decision support
• Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
• Reviewing code, setting engineering standards, and supporting the development of other engineers
• Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
• Assessing third‑party tooling and platforms where appropriate

This is a deeply hands‑on role with real ownership.

What We’re Looking For

Core requirements:

• Strong software engineering background (Python preferred)
• Proven experience building production AI systems, particularly modern LLM applications
• Solid understanding of:
  • Prompt design and iteration
  • Embedding pipelines and vector databases
  • RAG architectures and tool‑use patterns
  • Model evaluation and monitoring
• Experience deploying AI products used by non‑technical stakeholders
• Comfortable setting technical direction while remaining a builder

Nice to have:

• Exposure to complex analytical or commercial domains
• Experience working in small, senior engineering teams
• Background in cloud‑native environments

Why Join?

• Ownership of mission‑critical AI systems
• Direct visibility of impact, your work will be used day‑to‑day
• Modern AI stack with freedom to make technical decisions
• Long‑term scope to shape and grow the AI engineering function

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Senior AI Engineer

$175,000

Pittsburgh

THE COMPANY

A highly secure, technology‑driven organisation is expanding its advanced AI engineering function. The team focuses on building intelligent autonomous systems capable of operating across complex digital environments. This is a fast‑moving, deeply technical setting where your work directly supports high‑impact, mission‑critical operations.

THE ROLE

You’ll join a specialist engineering team responsible for developing next‑generation agentic interaction capabilities. The focus is on enabling AI systems to interact with user interfaces, tools, and workflows in a structured, reliable, and autonomous manner.

You will design state‑ and action‑driven architectures that allow AI agents to reason, plan, and execute behaviours across front‑end and back‑end systems. This role is ideal for someone who has built LLM‑driven solutions end‑to‑end and thrives in high‑ambiguity environments.

KEY RESPONSIBILITIES

• Build multi‑agent systems incorporating planning, memory, routing, and scalable tool‑use
• Develop modular “agent skills” that interface with internal tools, services, and data pipelines
• Design front‑end interaction architectures with explicit state/action modelling for agent‑controlled UI behaviour
• Create evaluation frameworks, observability layers, and regression testing for agent reliability
• Work collaboratively with product and internal teams to solve complex workflow and interaction challenges

EXPERIENCE REQUIRED

• 5+ years designing, building, and deploying production‑grade ML or LLM‑powered systems
• Strong Python engineering skills
• Hands‑on experience with LLM integration, agent frameworks, and autonomous interaction models
• Cloud engineering experience (AWS preferred)
• Familiarity with LLM algorithms, interaction patterns, and UI‑driven agent behaviour
• Comfortable operating in fast‑paced, high‑ambiguity technical environments
• Good grounding in Git, CI/CD, and modern software engineering best practices

DESIRABLE EXPERIENCE

• Multi‑agent coordination and tool orchestration
• Startup or zero‑to‑one engineering exposure
• Eligibility to work in secure or sensitive environments
• Experience with GenAI coding best practices and/or agent‑centric development workflows

THE OFFER

• $175,000 base salary
• Work on advanced, next‑generation agentic interaction systems
• High‑impact projects with deep technical ownership
• Collaborate with a top‑tier engineering team in a mission‑oriented environment

To Apply for this Job Click Here

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Principal Machine Learning Engineer

New York | Hybrid | Principal IC

$170,000 to $210,000

Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.

The role

As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.

What you’ll be doing

• Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
• Building scalable Python backends & APIs (FastAPI, async systems)
• Owning LLMOps/MLOps, cloud AI infrastructure and observability
• Driving best practice across ML, software engineering and platform design

What we’re looking for

• 10+ years in ML / software / data roles, expert Python engineer
• Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
• Production mindset: distributed systems, reliability, scalability
• Comfortable influencing teams and leaders without line management

Why apply

• Principal‑level impact and autonomy
• Cutting‑edge AI at real scale (not POCs)
• High‑trust, high‑performance engineering culture

Apply NOW!

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The Role

The Full‑Stack Engineer will build and maintain the software that powers both customer‑facing digital experiences and internal systems. This role spans a modern, headless e‑commerce stack, multiple web applications, and a growing set of internal AI‑enabled tools.

This is a hands‑on individual contributor role with broad ownership. The engineer will identify problems, ship solutions end‑to‑end, and see the impact of their work quickly across the business.

Key Responsibilities

• Own and improve a headless e‑commerce storefront, with a focus on conversion, performance, and user experience
• Build and extend commerce functionality to support future mobile app initiatives
• Design and ship customer‑facing AI features, including conversational and recommendation‑driven experiences
• Develop systems that turn customer feedback (support tickets, reviews, social inputs) into actionable insight
• Create internal tools and AI‑powered workflows that increase speed and efficiency across teams
• Maintain and expand integrations across the e‑commerce and marketing stack using APIs and webhooks
• Partner closely with product, design, marketing, and customer experience teams to deliver production‑ready software
• Contribute to technical strategy and how modern tooling and AI‑assisted development are used across the business

Qualifications

• 4-7 years of professional experience building and shipping production web applications
• Strong proficiency in React and TypeScript
• Experience with modern React frameworks (e.g., Next.js)
• Hands‑on experience with headless or API‑driven e‑commerce platforms strongly preferred
• Experience integrating third‑party tools and services via APIs and webhooks
• Active, practical use of AI development tools as part of a real production workflow

Nice to Have

• Experience building AI‑powered features in production (e.g., embeddings, retrieval systems, vector databases)
• Background in DTC, consumer technology, or subscription commerce
• Mobile development experience (e.g., React Native or similar)
• Familiarity with modern deployment and infrastructure tooling

Compensation & Benefits

• Competitive base salary with meaningful equity upside
• Comprehensive medical, dental, and vision coverage
• 401(k) participation
• Flexible paid time off and paid holidays
• Product stipends and employee perks

For more information & to apply. Please contact:

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Lead Fullstack Engineer

Location: New York, NY (Hybrid)

Pay: $200k – $250k Base + Bonus & Equity

Overview

This is a senior‑most individual contributor role within a rapidly scaling, data‑intensive consumer technology organisation operating at global scale. The company builds high‑traffic, customer‑facing platforms used by tens of millions of users and processes hundreds of thousands of real‑time events per second.
The role sits within a newly expanded NYC engineering hub and plays a central role in shaping the company’s next‑generation platform architecture. You will operate as a technical leader across frontend and backend systems, driving modernisation, AI adoption, and engineering best practices in a fast‑moving, low‑bureaucracy environment.

Responsibilities

• Act as a technical lead across fullstack initiatives, setting architectural direction and engineering standards
• Partner with engineering leadership and product stakeholders to define platform strategy and execution
• Lead the design and implementation of scalable, server‑rendered applications using modern TypeScript frameworks
• Drive migration away from legacy systems toward modular, maintainable, and testable architectures
• Champion the integration of generative AI into software development workflows, including agent‑driven coding and review
• Evaluate and mitigate risks associated with AI‑assisted development in production systems
• Contribute to system design documentation, specifications, and long‑term platform roadmap
• Mentor senior and mid‑level engineers through technical guidance and code reviews

Must‑Have Qualifications

• 10 – 15 years of professional software engineering experience with significant fullstack ownership
• Advanced TypeScript expertise across frontend and backend systems
• Strong experience with server‑side rendering frameworks (e.g. Remix, NestJS, Next‑style architectures)
• Production experience running systems on Kubernetes
• Proven technical leadership in complex, high‑scale environments
• Bachelor’s degree in Computer Science or a related technical discipline
• Demonstrated enthusiasm for AI‑assisted development and modern engineering workflows

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