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Pricing Manager

Hybrid – London(1x day per week)

£60,000 – £80,000 + benefits

If you’re looking for an opportunity to combine leadership, pricing strategy, and advanced analytics in a highly data-driven environment, this Home Risk Pricing Manager role offers excellent scope for impact. You will lead key pricing initiatives, shape risk strategy, and help drive profitable growth within a well-established insurance business that is investing heavily in its data and analytics capabilities.

The Company

They are a leading UK financial services organisation with a strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing, actuarial, data science, underwriting, and engineering functions.

The Role

As a Home Risk Pricing Manager, you will lead a small team while delivering pricing strategies that drive business performance and improve risk selection.

Responsibilities include:

• Leading and developing a team of pricing analysts through coaching, mentoring, and technical guidance
• Prioritising pricing initiatives to support profit and growth objectives
• Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation
• Evaluating and implementing new data sources, methodologies, and analytical approaches
• Reviewing predictive models developed by actuarial and data science teams
• Determining the most effective application of model outputs within pricing algorithms
• Identifying customer segments and pricing opportunities to improve commercial performance
• Building and maintaining automated analytical tools to generate pricing insights
• Partnering with underwriting, actuarial, data science, engineering, fraud, and commercial stakeholders across the business
• Supporting wider underwriting and strategic projects that deliver measurable business value

Your Skills & Experience

Strong commercial experience within general insurance pricing, risk analytics, or a related function.
Experience leading or mentoring analysts within a pricing or analytics environment
Advanced analytical and coding capabilities, ideally using Python
Ability to work confidently with large, complex datasets and statistical concepts
Strong understanding of predictive modelling and pricing methodologies
Experience translating analytical insights into commercial actions
Excellent stakeholder management and communication skills
Curious, proactive mindset with a passion for continuous improvement and innovation

What They Offer

Salary up to £80,000 depending on experience
Annual performance bonus
£5,000 car allowance
Flexible hybrid working model
Private medical insurance
Competitive pension contribution scheme
Life assurance and income protection
Comprehensive wellbeing and healthcare benefits
Generous annual leave allowance with additional flexible options
Access to learning, development, and long-term career progression opportunities

How to Apply

If you’re interested in this Home Risk Pricing Manager opportunity, apply today to discuss how your experience aligns with the role.

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Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)

Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it’s an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you’ll deliver consultancy projects for some of the UK’s largest lenders and financial services organisations. Working directly with clients, you’ll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you’ll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You’ll be responsible for:

• Developing acquisition and behavioural credit scorecards using CRA data
• Building statistical and machine learning models including logistic and linear regression
• Designing and implementing credit strategies for new and existing customer portfolios
• Analysing large datasets using SQL and Python (or SAS)
• Delivering analytical consultancy projects for external clients across multiple industries
• Presenting technical findings and commercial recommendations to senior stakeholders
• Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You’ll ideally have:

• Experience developing credit scorecards within a credit risk environment
• Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
• Credit risk experience across model development or strategy
• Strong SQL skills alongside Python or SAS (Python preferred)
• Experience with statistical modelling techniques such as logistic regression or machine learning
• Excellent communication skills with the ability to present to clients and senior stakeholders

THE BENEFITS

• Up to £75,000 salary
• Hybrid working (Monday-Thursday office, Fridays remote)
• Work with a wide range of clients across financial services, telecoms and beyond
• Opportunity to work on varied analytical consultancy projects rather than a single portfolio
• Modern cloud-based technology stack with increasing use of Python
• Strong career progression within a business known for long employee tenure
• Two-stage interview process with a fast turnaround

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Risk Pricing Manager

London (Hybrid – 1 day per week on average)

£65,000-£80,000 + £5,000 Car Allowance

THE COMPANY

Join one of the UK’s leading digital insurers, investing heavily in pricing, data and analytics to transform how insurance products are priced. You’ll join a collaborative pricing function focused on using data, market trends and innovative techniques to improve commercial performance while delivering fair customer outcomes.

THE ROLE

You’ll lead a small team within the Home Risk Pricing function, helping deliver pricing strategy across home insurance products. This is a commercially focused role where you’ll enhance existing pricing models, analyse market trends and translate insights into pricing decisions rather than building models from scratch.

Working closely with the Home Analytics & Pricing team, you’ll review actuarial models, identify opportunities to improve pricing performance and ensure pricing strategies remain competitive in the market.

Responsibilities include:

• Lead and develop a small team of Pricing Analysts.
• Enhance and maintain existing pricing models.
• Deliver pricing strategy across Home Insurance products.
• Analyse claims, market and customer data to identify pricing opportunities.
• Review actuarial models and optimise how they are applied commercially.
• Work closely with the Home Analytics & Pricing team and wider stakeholders.
• Translate analytical insights into commercial pricing decisions.
• Drive continuous improvements using new data and market trends.

YOUR SKILLS AND EXPERIENCE

• Experience in Risk Pricing or Pricing within personal lines insurance.
• Home insurance experience is preferred, although Motor, Van, Bike or Travel insurance backgrounds will also be considered.
• Commercial pricing experience with the ability to interpret model outputs and deliver business insight.
• Python preferred (R also considered).
• SQL really useful.
• Previous leadership experience is advantageous, although candidates looking to step into management will also be considered.
• Strong analytical mindset with excellent stakeholder communication skills.

THE BENEFITS

• Salary up to £80,000 (£85,000 for exceptional management experience).
• £5,000 Car Allowance.
• Hybrid working (around one day per week in the office).
• Annual bonus.
• Private Medical Insurance.
• Up to 10% matched pension.
• 27 days holiday plus bank holidays, with the option to buy or sell leave.
• Excellent learning and career progression opportunities.

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Senior NLP Engineer
Remote (UK) | £100,000 – £120,000 + Benefits

Are you a Master’s or PhD-qualified NLP specialist looking to build AI products at scale? This is an opportunity to join a growing AI and compliance technology business where you’ll own NLP and LLM initiatives from research through to production, working on complex language challenges across enterprise communications data.

The Company
They are an AI-driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across multiple communication channels.

The Role

• Own NLP and AI projects from concept through to production deployment
• Develop models to analyse text, audio, video, and other unstructured data
• Apply both classical NLP techniques and modern LLM approaches
• Build scalable, customer-facing AI products and features
• Collaborate closely with engineering, product, and business teams
• Contribute to the technical direction of a highly experienced AI function

Your Skills & Experience

• Master’s degree or PhD in NLP, Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field
• Commercial experience building and deploying NLP or ML solutions into production
• Strong understanding of both traditional NLP methods and modern LLMs
• Experience taking products from research or prototype stage through to production
• Strong Python and software engineering fundamentals
• Experience working with large-scale unstructured data
• Exposure to compliance, cybersecurity, financial services, or other regulated environments is beneficial

What They Offer

• £100,000 – £120,000 base salary
• Fully remote UK working
• High levels of ownership and autonomy
• Opportunity to work alongside a highly experienced AI team
• Annual company and engineering meetups
• Clear progression opportunities as the business grows

How to Apply
If you have strong NLP and LLM expertise and enjoy building production-grade AI products, apply today to find out more.

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Senior Data Scientist, Causal Inference & Experimentation
London | Up to £124,000 + Bonus

This is an opportunity to join a newly formed Data Science team focused on understanding what truly drives customer value and commercial performance. The role sits at the intersection of Data Science, Econometrics, and Experimentation, with a strong emphasis on explaining why behavioural changes happen rather than simply predicting outcomes.

The Company
They are a global technology and entertainment business investing heavily in advanced analytics to better understand customer behaviour and commercial performance. As part of a newly established function, they are building a specialist team focused on measuring the impact of product and commercial initiatives. The work combines Data Science, Economics, and Experimentation, with a strong emphasis on influencing real-world decisions.

The Role

• Apply causal inference techniques to measure the true impact of product and commercial initiatives
• Design and analyse experiments and A/B tests to drive decision-making
• Conduct cannibalisation, value decomposition, and counterfactual analysis
• Develop simulation and offline evaluation frameworks
• Assess models and experiments developed by other teams
• Translate complex findings into clear recommendations for technical and commercial stakeholders

Your Skills & Experience

• Strong background in Data Science, Econometrics, Economics, Statistics, Behavioural Science, or a related quantitative discipline
• Deep understanding of causal reasoning, experimentation, and statistical inference
• Experience with A/B testing, incrementality measurement, treatment effects, or causal modelling
• Strong Python and SQL skills
• Excellent communication skills with the ability to influence business decisions through data
• Master’s degree or PhD in Economics, Econometrics, Statistics, Mathematics, or a similar quantitative field strongly preferred

What They Offer

• Salary up to £124,000 plus bonus
• Opportunity to help shape a brand-new strategic Data Science function
• High-impact work influencing product and commercial decisions
• Strong career progression and development opportunities
• Flexible working and competitive benefits

How to Apply
If you have a strong background in causal inference, experimentation, and quantitative research, apply today to learn more about this opportunity.

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Head of Commerical Analytics

This is an opportunity to join an exciting buinsess, sitting within a strategic analytics function, you will play a key role in shaping commercial decision-making, influencing senior stakeholders, and driving business performance through advanced analytics and insight.

The Company
They are a fast-scaling technology and financial services business operating within a subscription-based consumer market. With a strong focus on innovation, sustainability, and customer experience, they have built a sophisticated data ecosystem that supports rapid growth and informed decision-making.

The business combines a modern digital platform with advanced risk and commercial analytics capabilities, creating a highly data-driven environment. Backed by significant investment and ambitious expansion plans, they offer the pace and impact of a scale-up alongside the complexity of a mature analytics function.

The Role
As Head of Commercial Analytics or Senior Manager, Commercial Analytics, you will lead the delivery of high-impact analytical initiatives that influence commercial strategy and operational performance.
Key responsibilities include:

• Partner with senior leadership to define and execute the commercial analytics roadmap.
• Deliver strategic analysis that drives customer growth, revenue performance, retention, and profitability.
• Translate complex data into actionable recommendations for both technical and non-technical stakeholders.
• Build and maintain robust reporting, forecasting, and performance measurement frameworks.
• Lead analytical projects from scoping through to implementation and business impact assessment.
• Collaborate closely with teams across strategy, product, finance, operations, and data.
• Support and mentor analysts, helping to develop analytical capability across the function.
• Champion data-driven decision-making throughout the organisation.

Your Skills & Experience

• Strong commercial analytics experience within a data-rich environment.
• Advanced SQL skills and the ability to work confidently with large and complex datasets.
• Experience delivering strategic insight that has influenced senior business stakeholders.
• Strong commercial acumen with the ability to connect analytics to business outcomes.
• Proven experience leading complex analytical projects and managing multiple priorities.
• Excellent communication and stakeholder management skills.
• Experience within fintech, lending, consumer finance, subscription businesses, ecommerce, or related sectors would be advantageous.
• Familiarity with experimentation, customer analytics, forecasting, performance optimisation, or decision science is beneficial.

What They Offer

• Opportunity to work in a high-growth business with significant backing and ambitious expansion plans.
• High visibility role with regular exposure to senior leadership.

How to Apply
If you are an experienced Commercial Analytics leader looking to drive strategic impact within a fast-growing, data-driven organisation, please apply with your CV for further information.

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Principal / Senior Backend Software Engineer (AI Systems & Agentic Workflows)

About the Role

We are seeking a hands-on Principal or Senior Backend Software Engineer to help build the next generation of AI-powered products and workflows on top of large-scale knowledge systems and healthcare datasets.

This role is ideal for someone who enjoys operating at the intersection of backend engineering, AI systems, product development, and platform architecture. You’ll work closely with technical leadership to design, build, deploy, and iterate on intelligent systems that leverage agentic AI workflows, retrieval-augmented generation (RAG), structured knowledge retrieval, and large language models.

This is not a research role. We are looking for builders who can take ideas from concept to production and thrive in a fast-moving, high-ownership environment.

What You’ll Do

• Design and build agentic AI workflows that automate complex business and user-facing processes.
• Develop production-grade Retrieval-Augmented Generation (RAG) systems utilizing large internal and domain-specific datasets.
• Implement AI-powered knowledge systems combining structured data, semantic retrieval, embeddings, and LLMs.
• Build backend services and APIs that support AI applications at scale.
• Design secure, scalable cloud-native architectures and distributed systems.
• Work closely with product, design, data, and engineering teams to rapidly validate, prototype, and ship new capabilities.
• Partner directly with leadership to influence architecture, technical direction, and long-term AI strategy.
• Continuously improve observability, reliability, evaluation, and safety of AI systems in production.

Key Responsibilities

AI & Agentic Systems

• Multi-agent workflow orchestration
• LLM-powered applications
• AI copilots and assistants
• Tool calling and agent execution frameworks
• AI evaluation, observability, and monitoring
• Prompt engineering and workflow optimization

Knowledge Systems

• Retrieval-Augmented Generation (RAG)
• Embeddings and vector search
• Knowledge graphs
• Search and discovery systems
• Semantic retrieval pipelines
• Context management and ranking

Backend Engineering

• API design and development
• Distributed systems and microservices
• Event-driven architectures
• Data processing and workflow automation
• Data platform integrations
• Cloud infrastructure and deployment

Desired Technical Experience

Backend

• Python
• FastAPI, Django, Flask, or similar frameworks
• REST APIs
• PostgreSQL
• Event-driven systems

AI / ML

• OpenAI, Anthropic, Gemini, or similar models
• LangChain, LangGraph, MCP, CrewAI, or comparable frameworks
• Agentic AI architectures
• RAG systems
• Vector databases
• AI evaluation frameworks

Infrastructure

• AWS
• Docker
• Kubernetes
• CI/CD
• Observability and monitoring platforms

Data

• PostgreSQL
• Redis
• Data pipelines
• Embeddings
• Search infrastructure

Preferred Backgrounds

Successful candidates often come from:

• Founding Engineer roles
• Startup CTO or technical founder backgrounds
• Senior backend engineering positions
• Applied AI engineering teams
• Search and retrieval platforms
• Knowledge systems
• Healthcare technology
• SaaS companies
• AI-native startups

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Principal Machine Learning Engineer

Location: Paris (Remote / Hybrid – Fully Remote or 2 Days in the Office)
Salary: €135,000 Base + €15,000 Bonus (OTE €150,000)

THE COMPANY

This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising.

Following approximately 60% growth over the past two years, the business has expanded to around 140 employees across offices in Paris, Barcelona, Seoul and San Francisco, with more than 25 open positions supporting continued international growth.

You’ll be joining a highly technical engineering team, working directly alongside the CTO to shape the future of machine learning across the business.

THE ROLE

As a Principal Machine Learning Engineer, you’ll define the technical direction of large-scale production machine learning systems while remaining hands-on throughout the full model lifecycle. This is an individual contributor leadership role focused on delivering complex technical projects rather than managing people.

You’ll lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling, partnering closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions. The role combines technical strategy, platform engineering and applied machine learning within a high-scale real-time environment.

YOUR SKILLS AND EXPERIENCE

• Extensive experience building and deploying production machine learning systems at scale
• Proven technical leadership, defining architecture and technical direction while remaining hands-on
• Strong experience developing recommendation systems, audience targeting models, LTV or churn models
• Experience building robust MLOps platforms including model monitoring, automated retraining and production deployment
• Excellent Python and modern machine learning framework experience (PyTorch, TensorFlow or similar)
• Strong software engineering and distributed systems knowledge
• Ability to communicate complex technical concepts to senior stakeholders
• AdTech or Demand Side Platform (DSP) experience highly desirable
• PhD in a STEM discipline is advantageous

THE BENEFITS

• €135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000)
• Longevity bonus every two years
• 4.5-day working week with Friday afternoons off
• Fully remote working or hybrid (2 days per week if based near an office)
• Two company meet-ups each year
• Work directly alongside the CTO
• Join a profitable, high-growth international AI business with significant technical ownership opportunities

INTERVIEW PROCESS

• 15-minute HR conversation
• Take-home technical assessment
• Technical interview and assessment review with senior ML engineers
• CTO interview
• Executive Committee interview

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

To Apply for this Job Click Here

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Senior AI Manager
Philadelphia, Pennsylvania | Hybrid (4 days per week in office)
$200,000-$230,000 + Benefits (inc. bonus)

This is a great opportunity to join a business making a genuine investment in Artificial Intelligence and take ownership of building its Agentic AI capability. You’ll work closely with senior leadership, shape AI strategy, and deliver solutions that create measurable business impact.

The Company

They are a global organisation undergoing significant digital transformation, with AI at the centre of their growth strategy. The business is investing heavily in Generative AI and Agentic AI to improve operational efficiency, unlock new revenue opportunities, and drive innovation across multiple functions. You will join an established analytics environment and help lead the next phase of AI adoption.

The Role

As a Senior AI Manager, you will lead the development and scaling of AI capabilities across the organisation.

Key responsibilities include:

• Building and growing an Agentic AI function.
• Identifying and delivering high-value AI use cases across the business.
• Establishing AI standards, processes, and best practices.
• Partnering with senior stakeholders to drive AI adoption.
• Acting as an AI ambassador and promoting AI literacy across teams.
• Leading AI-focused hiring, onboarding, and team development.
• Working with analytics, technology, and external partners to deliver AI solutions.

Your Skills & Experience

• Strong commercial experience in AI, Data Science, or Machine Learning.
• Experience delivering Generative AI and Agentic AI solutions.
• Ability to translate business challenges into practical AI applications.
• Experience leading teams and influencing senior stakeholders.
• Knowledge of modern AI tooling and AI development frameworks.
• Experience working with Snowflake or similar cloud data platforms.
• Strong communication skills and a passion for AI innovation.

How to Apply

If you’re passionate about scaling AI solutions and want to help shape the future of AI within a growing organisation, apply today.

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Principal Machine Learning Engineer

Europe Remote | Up to €135,000 Base + Bonus (c.€150,000 OTE)

This is an opportunity to join a growing, profitable AI-driven technology business where machine learning is central to the product and commercial strategy. The role offers a rare blend of technical leadership and hands-on engineering, allowing you to shape the future direction of ML systems while solving complex challenges at scale.

The Company

They are an established technology scale-up that develops advanced machine learning solutions to power highly personalised digital experiences for millions of users worldwide. Operating internationally, the business has grown significantly in recent years and continues to invest heavily in its data and AI capabilities.

Their machine learning teams work on large-scale real-time systems where model performance directly impacts commercial outcomes. With a collaborative engineering culture and strong leadership support, they offer an environment where innovation and experimentation are encouraged.

The Role

As a Principal Machine Learning Engineer, you will provide technical leadership across the machine learning function while remaining closely involved in model development and production systems.

Key responsibilities include:

• Defining technical direction for machine learning systems and frameworks.
• Designing, developing and optimising machine learning models in a large-scale production environment.
• Leading the development of recommendation engines, bidding algorithms and audience targeting systems.
• Building mobile attribution models and solutions focused on customer lifetime value and churn prediction.
• Driving best practice across MLOps, model monitoring, observability and automated retraining.
• Enhancing machine learning infrastructure, experimentation platforms and deployment processes.
• Partnering with engineering leaders and business stakeholders to align machine learning initiatives with commercial objectives.
• Mentoring engineers and contributing to architectural decisions across the wider technology organisation.

Your Skills & Experience

• Strong commercial experience building and owning machine learning systems in production.
• Experience developing and deploying machine learning models at scale.
• Advanced Python skills alongside experience with modern machine learning frameworks such as PyTorch or TensorFlow.
• Excellent understanding of MLOps, model lifecycle management and production machine learning environments.
• Experience working with recommendation systems, predictive modelling, LTV modelling, churn prediction or related machine learning applications.
• Strong software engineering fundamentals with a focus on scalability, performance and reliability.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience within AdTech, programmatic advertising, real-time bidding or demand-side platforms would be highly beneficial.

Nice to Have

• PhD in a STEM discipline.
• Experience within DSP environments.
• Exposure to mobile advertising, attribution modelling or related performance marketing technologies.

What They Offer

• 4.5-day working week with Friday afternoons off.
• Flexible remote working policy.
• Longevity bonus awarded every two years.
• Strong work-life balance and employee wellbeing initiatives.
• The opportunity to shape machine learning strategy within a growing and profitable technology business.
• Clear opportunities for progression and increased technical influence.

Interview Process

1. Introductory conversation with the Talent Acquisition team.
2. Take-home technical assessment.
3. Technical interview and assessment review with senior machine learning engineers.
4. Interview with the CTO.
5. Final executive leadership interview.

How to Apply

If you are an experienced Principal Machine Learning Engineer looking to combine technical leadership with hands-on machine learning development, please apply to learn more about this opportunity.

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Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

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