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Chief AI Engineer – AdTech

New York, New York – 4 days onsite

$300,000 – $350,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

• Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience scaling out MLE teams as tech lead or manager preferred.

• Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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INGENIEUR IA
PARIS
50-70KEUR

PYTHON / LLM

Dans le cadre du développement de l’offre IA de cette societe, nous recrutons leur premier Ingenieur IA pour intégrer leur Lab IA interne. L’objectif : internaliser la compétence IA et structurer la production de solutions concrètes et activables pour nos clients (copilotes IA, automatisation, agents conversationnels, moteurs de recommandations…).

VOTRE ROLE

• Concevoir, développer et déployer des applications IA autour des LLM et de l’IA générative
• Industrialiser des POCs internes vers des solutions robustes
• Participer à la conception technique de MVPs sur des cas clients concrets
• Intégrer des API (OpenAI, Hugging Face, LangChain…) et créer des chaînes automatisées (Zapier, n8n, outils internes)
• Collaborer avec les équipes data et produit pour créer des solutions IA activables
• Déployer les solutions sur des environnements cloud publics (GCP, AWS, Azure)

VOTRE PROFIL

• Formation bac+5 en école d’ingénieur ou université de haut niveau niveau (maths/stats)
• 1 à 3 ans d’expérience en IA, data science ou développement IA/ML
• Bon niveau Python appliqué à l’IA
• Maîtrise des concepts liés à l’IA générative : LLM, RAG, embeddings, agents, etc.
• Une première expérience dans le conseil (ex. Capgemini, Artefact, Converteo, Nexton) ou une start-up tech orientée produit (ex. Qonto) est un plus
• Environnement de travail flexible : curiosité, autonomie, esprit test & learn requis

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Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.

THE ROLE

As Lead AI Engineer, you will:

• Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

• Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

• Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

• Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

• Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

• A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

• A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

• Experience leading projects end-to-end, with mentorship or team-building experience.

• Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

• Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

• Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.

THE BENEFITS

• Competitive salary range of $200,000-220,000

• Performance-based bonus

• Comprehensive health and wellness benefits

• Better than market average retirement match

• Opportunity to build a strategic AI function from the ground up in a highly respected firm

• Supportive, forward-thinking leadership team invested in responsible innovation

HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.

Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

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WHAT YOU’LL DO

• Own customer deployments end-to-end: scoping, onboarding, integration, and support
• Deploy low-code solutions using APIs, webhooks, and integration tools like Postman
• Handle a demanding volume of customer interactions and configuration work
• Manage technical relationships with enterprise clients and internal engineering teams
• Translate customer needs into clear internal requests and product suggestions
• Operate in an environment of constant change and high urgency

WHAT THEY’RE LOOKING FOR

• 3-7+ years of experience in high-growth startups or similarly fast-paced environments
• Strong stakeholder and customer management skills
• Hands-on experience deploying software products (or the technical chops to ramp up fast)
• Familiarity with API tools and webhook integrations
• Background in engineering, solutions, or technical product roles
• Excellent communication and execution skills under pressure

SOFTWARE ENGINEERING | AMBITION | STAKEHOLDER ENGAGEMENT | API

DETAILS

• Location: Onsite 5 days/week in San Francisco
• Compensation: $120,000-$160,000 base salary
• Urgency: Team is hiring fast – several recent hires and more roles to fill

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Research Engineer – Relocation to Barcelona

Are you interested in working for a stealth start-up in Barcelona who have just secured pre-seed funding? We are working on a Research Engineer role, you will be responsible for adding an engineering layer to the business and closing the gap between the engineering and data science team. You will focus on the design, implementation and deployment of ML models.

They are looking for a candidate with a strong academic background (PhD required) and work experience in a tech company.

*Please only apply if you are comfortable with relocating to Barcelona.

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AI Solution Engineer

San Francisco, California

On-site

$ 170,000- $190,000 + Equity

About the Company

This company excels in creating advanced AI agents, providing seamless customer interactions.

About the Role

The AI Solution Engineer will focus on implementing the product into client systems, managing the pre-sales to post-sales process, and acting as the liason between clients and internal stakeholders.

Role Responsibilities

• Engage in pre-sales and post-sales activities, deploying low-code AI solutions and managing customer relationships.
• Serve as the primary liaison between clients and internal teams, ensuring seamless communication and integration.
• Handle extensive customer management, including stakeholder engagement and education on product features.
• Leverage experience with API calls, web hooks, and tools like Postman for efficient deployment.
• Demonstrate a proven history of execution, preferably with a technical background transitioning into leadership roles.
• Experience in scaling products from PMF stage and working within applied AI environments is highly desirable.

Key Requirements

• Preferred candidates possess 3-7+ years of experience
• Demonstrated experience in a startup environment, notably in scaling from Series B to late stage or IPO.
• Exceptional stakeholder management skills.
• Proven history of successful product deployment to customers.
• Significant experience in dynamic, high-growth settings is highly desirable.

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AI Engineer

Location: New York

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full 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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