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STAFF AI SOFTWARE ENGINEER – AGENTIC SYSTEMS + AI ARCHITECTURE

$250,000 – $300,000 BASE + EQUITY

HYBRID – SAN FRANCISCO (TUES-THURS)

Are you excited about defining AI system architecture and building production-grade systems that power real-world, high-stakes decisions-not just prototypes?

Do you want to shape how agentic AI and LLM systems are designed at scale, influencing both product and engineering direction?

THE COMPANY

A fast-growing, venture-backed SaaS company in the compliance and security (GRC) space, helping organizations build trust at scale.

• Rapid growth and expanding into enterprise customers
• AI is central to the next phase of the company’s evolution
• Building next-gen platform with agentic workflows, LLMs, and automation
• Strong product-market fit with significant investment in AI infrastructure

THE ROLE

As a Staff AI Software Engineer, you’ll define and scale AI system architecture while remaining hands-on in building production systems.

• Architect and scale LLM-powered systems for reasoning, automation, and decision-making
• Design agentic workflows with multi-step orchestration, tools, and human-in-the-loop systems
• Lead development of RAG pipelines (retrieval, embeddings, reranking, evaluation)
• Establish best practices for LLM orchestration, evaluation, and cost/latency optimization
• Influence technical direction across teams and partner closely with product leadership
• Mentor engineers and raise the bar for AI system design and execution

YOUR SKILLS AND EXPERIENCE

• 10+ years of software engineering experience, including 3+ years building AI/LLM systems in production
• Deep expertise in system design and distributed systems architecture
• Strong experience with LLMs, RAG pipelines, and agentic AI workflows
• Strong Python skills (TypeScript a plus)
• Proven ability to design, ship, and scale end-to-end AI systems
• Ability to influence technical decisions and operate in high-ambiguity, fast-moving environments

THE BENEFITS

• Competitive base + meaningful equity
• Hybrid in San Francisco
• Opportunity to define next-gen AI architecture (agentic systems, RAG, LLMs)
• High-impact, high-visibility role with ownership over core product systems
• Work at the intersection of AI innovation and real-world enterprise impact

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Senior AI Engineer (Agentic Systems & LLM Applications)
San Francisco, CA (Hybrid) Tuesday – Thursday (Onsite)
$180,000 – $220,000 base + equity + benefits

About the Company

This organization builds software that helps businesses operate with greater transparency, accountability, and trust. Its platform supports critical workflows around governance, risk, and operational decision-making, enabling teams to manage complex processes with speed and confidence.

The company has reached meaningful scale and is now investing heavily in its next phase – embedding advanced AI directly into core product workflows. This is not an experimentation layer; these are production systems that customers rely on to make real decisions.

Engineering teams operate with high ownership and low overhead. The environment rewards people who take initiative, challenge assumptions, and deliver systems that work in the real world.

About the Role

This is a high-ownership, builder role for engineers who want to push beyond “feature-level AI” and design systems that actually reason, act, and operate in production.

You will own end-to-end development of AI systems – from architecture and design through deployment, evaluation, and iteration. The focus is on building agentic systems and retrieval-driven pipelines that can handle complex, multi-step workflows across large volumes of structured and unstructured data.

This role is best suited for engineers who have already shipped LLM-based systems and want to go deeper – improving system reliability, designing evaluation frameworks, and building AI that can be trusted in high-stakes environments.

You’ll work closely with product and engineering leadership to define what gets built, not just how it gets built.

Key Responsibilities

• Architect and deploy production LLM systems capable of multi-step reasoning and decision support
• Build and scale agentic workflows that automate complex, long-running processes
• Design end-to-end RAG pipelines (ingestion, embeddings, retrieval, ranking, generation)
• Develop evaluation frameworks and guardrails to ensure system accuracy, reliability, and safety
• Optimize systems for latency, cost efficiency, and production performance
• Partner with product and engineering leaders to identify and prioritize high-impact AI opportunities
• Contribute to backend systems and infrastructure supporting large-scale AI deployment

Must Haves

• 7+ years of software engineering experience, including 2+ years building AI/ML systems
• Strong Python expertise and experience building production-grade systems
• Proven track record shipping LLM-based applications into production
• Hands-on experience with RAG pipelines, embeddings, and vector databases
• Experience building agent-based or multi-step AI systems
• Strong system design skills with experience in distributed systems
• Clear ownership of systems from initial concept through production and iteration

Nice to Have

• Experience with workflow orchestration or distributed task systems
• Familiarity with backend systems or TypeScript-based services
• Experience working with document-heavy or high-complexity datasets
• Exposure to evaluation frameworks, monitoring systems, or AI safety practices

Why Join

• Build AI systems that operate in real-world, high-stakes environments – not prototypes
• Own the architecture and evolution of agentic systems used by real customers
• Work on problems where correctness, reliability, and trust actually matter
• High autonomy with direct influence on product direction and technical strategy
• Strong compensation, meaningful equity, and comprehensive benefits
• In-person collaboration Tuesday-Thursday with a focused, high-caliber engineering team
• Opportunity to raise the technical bar alongside engineers who have shipped real systems

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Generative AI Engineer

Amsterdam, Hybrid (2 to 3 days on client site)

Competitive salary and benefits

This is an exciting opportunity to join a specialist AI consultancy where you will help organisations shape and implement impactful Generative AI strategies. You will work closely with clients, solve complex problems, and build solutions that move beyond experimentation into real business value.

The Company

They are a growing consultancy focused on delivering practical and scalable AI solutions. Their work spans strategy, architecture, and hands-on implementation across a wide range of industries. They prioritise collaboration, learning, and high-quality delivery. With a strong focus on innovation, they support clients in adopting Generative AI responsibly and effectively.

The Role

* Develop and deploy Generative AI solutions tailored to client needs.

* Collaborate with stakeholders to translate business challenges into technical approaches.

* Lead discovery sessions and support the design of AI roadmaps and architectures.

* Implement and optimise models using modern LLM frameworks and cloud environments.

* Work on client site in the Netherlands around two to three days per week.

* Support best practices around security, governance, and responsible AI.

Your Skills and Experience

* Strong capability in building and deploying Generative AI or LLM-based applications.

* Proven ability to work directly with stakeholders and communicate complex ideas clearly.

* Experience with cloud platforms, MLOps tooling, and modern AI frameworks.

* Ability to work in a consultancy or client-facing environment.

* Fluency in Dutch and English.

What They Offer

* Competitive salary and bonus structure.

* Hybrid working with autonomy and trust.

* Access to cutting-edge tooling and opportunities to lead high‑impact AI projects.

* Clear progression pathways and ongoing learning support.

How to Apply

If you are interested in this Generative AI Engineer position, please apply with your CV.

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Head of Analytics

London, Hybrid

£90,000 to £160,000 plus bonus and benefits

This is a high-impact opportunity to shape a central Analytics function within a fast-growing, data-led organisation. You will lead a team at the heart of major transformation across analytics, AI, automation, and decisioning, giving you the scope to influence strategy while remaining hands-on.

The Company
They are a data-centric business investing heavily in analytics, AI, and modern data platforms. With strong commercial momentum and an evolving technology landscape, they are building out a central Analytics and MI capability to drive smarter, faster decision making. The organisation values innovation, collaboration, and the ability to turn data into meaningful insight.

The Role
You will lead a centralised Analytics and MI team, operating as a shared service across multiple business units including Finance, Marketing, and senior leadership.
Key responsibilities include:
* Evolving the function from reporting to actionable insight.
* Embedding AI tools into analytics workflows.
* Driving automation and improvements to data structures.
* Supporting the rollout of a new decision engine platform.
* Managing stakeholder relationships and prioritising work across diverse teams.
* Balancing leadership with hands-on analytical delivery.

Your Skills and Experience
* Strong experience leading Analytics or MI teams within a data-rich environment.
* Ability to translate data into clear commercial insight.
* Hands-on technical capability in SQL and Python.
* Familiarity with modern data tools such as Snowflake and Power BI or similar platforms.
* Experience using AI tools or automation in analytics workflows.
* Confident communicator with strong stakeholder management skills.
* Background in financial services is helpful but not essential.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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Senior Account Analytics Analyst

London (Hybrid) | Up to £60,000 | Mid-Senior (3-5 years)

We’re looking for a Senior Account Analytics Analyst to join a fast-paced analytics team within a digital marketing environment.

In this role, you’ll work across multiple client accounts, turning large-scale marketing and consumer data into actionable insights that improve campaign performance and drive business growth.

What you’ll do:

* Analyse online and offline marketing & consumer data
* Deliver insights to optimise campaign performance and ROI
* Support Marketing Mix Modelling (MMM) development and interpretation
* Conduct hands-on analysis using SQL, Python, or R
* Present insights to clients and internal stakeholders
* Work closely with cross-functional teams (sales, product, media, account teams)

What we’re looking for:

* 3-5 years’ experience in analytics / marketing analytics / data science
* Strong statistical knowledge (A/B testing, confidence intervals, model uncertainty)
* Experience with MMM or similar modelling techniques
* Strong SQL and/or Python/R skills
* Experience with BI tools (e.g. Tableau)
* Understanding of digital advertising and targeting methods
* Strong communication and client-facing skills

About you:

You’re analytical, curious, and confident translating complex data into simple, actionable insights. You enjoy working with multiple stakeholders and thrive in a fast-paced, client-focused environment.

Find out more and apply via the link below.

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Senior Digital Merchandising Operations Manager
London (Hybrid, 2 days in London)
Up to £70,000

This is an exciting opportunity to join a high‑profile digital function where you will shape assortment strategy, influence senior stakeholders, and act as the digital voice across the full buy cycle. With the role newly created, you will have a blank slate to build best‑in‑class merchandising operations and directly impact customer experience, NPS performance, and commercial results.

The Company
They are a global retail brand recognised for premium product and a strong digital vision. The organisation is investing heavily in elevating customer experience and ensuring digital insights sit at the heart of buying, planning, and trading decisions. You will join a collaborative environment where digital performance is highly visible, and your recommendations directly shape commercial strategy. With a new Merch Ops structure in place, this is a rare chance to influence the operating model from day one.

The Role
As Senior Merchandising Operations Manager, you will:
* Act as the digital voice throughout the buy cycle, shaping pre‑season planning and in‑season trading decisions.
* Provide insight on customer behaviour, onsite performance, availability metrics, and product trends.
* Influence buying, planning, and inventory teams with clear, data‑led recommendations.
* Own availability visibility, depth optimisation, size analysis, and zero‑seller reduction initiatives.
* Identify risks and opportunities across categories, ensuring digital priorities are represented at senior forums.
* Build and deliver digital hindsight packs, seasonal reviews, and commercially relevant insight summaries.
* Strengthen cross‑functional alignment with Buying, Planning, Inventory, Site Operations, Connected Retail, and Business Planning teams.

Your Skills and Experience
You will bring:
* Strong commercial experience in merchandising operations, digital trading, planning, or allocation.
* Direct ecommerce and retail knowledge with a deep understanding of digital KPIs such as conversion and product engagement.
* Advanced analytical capability across Excel and reporting tools, with the ability to translate data into simple, actionable guidance.
* Proven experience influencing senior stakeholders and navigating complex cross‑functional environments.
* Confidence challenging assumptions and driving alignment across multiple teams.
* A proactive, collaborative approach and the ability to thrive in a fast‑paced, evolving digital organisation.

What They Offer
* Salary up to £70,000 depending on experience.
* Hybrid working with two days a week in their central London office.
* High organisational visibility with the opportunity to shape a brand‑new function.
* Strong career development with exposure to senior leadership and strategic decision‑making.

How to Apply
If you are interested in this Senior Merchandising Operations Manager role, please apply with your CV and the team will be in touch.

To Apply for this Job Click Here

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Digital Merchandising Operations Manager
London (Hybrid, 2 days in office)
Up to £60,000

This is a brand-new opportunity to shape how digital insight influences key commercial decisions. You will be the digital voice across the buy cycle, directly impacting online performance, customer experience, and cross‑functional trading decisions. With strong visibility and backing from senior leadership, this is a role where your recommendations will make a meaningful difference from day one.

The Company
They are a well‑established retail brand with a growing focus on digital excellence. With increasing investment in ecommerce, data, and customer experience, they are building out their digital operations capability to better link online demand with merchandising, planning, and inventory functions. You will join a collaborative environment that values insight, proactivity, and continuous improvement.

The Role
You will sit within the digital visual merchandising organisation and act as the dedicated digital counterpart to Buying, Planning, Inventory, Site Operations, and Commercial teams.

Your responsibilities will include:
* Providing insight across customer behaviour, onsite performance, availability metrics, and digital trading trends to influence pre‑season planning and in‑season decisions.

• Be the link between merchandising and digital metrics, using product views, conversions etc as part of your KPIs and decision making.

* Consolidating product, availability, and demand insight to shape assortment strategy and highlight opportunity areas.
* Flagging risks early, such as light stock positions or delivery timings that may impact digital performance.
* Using availability and performance data to support removal decisions, size depth alignment, and commercial optimisation.
* Acting as a key partner in trading forums, planning meetings, and digital alignment sessions.
* Managing weekly and monthly reporting to surface trends across product performance, zero sellers, customer navigation, and demand signals.

Your Skills and Experience
* Strong stakeholder management experience, particularly with buying, planning, or inventory teams.
* Commercial experience in ecommerce or retail, with exposure to digital performance metrics such as conversion, product views, and availability.
* Confident working with data, using Excel and reporting tools to translate insight into clear, actionable recommendations.
* Comfortable working cross‑functionally and presenting insight to senior partners.
* Highly organised, detail‑focused, and able to operate proactively in a fast‑paced environment.
* A collaborative, communicative personality suited to influencing decisions and championing the digital customer.

What They Offer
* Salary up to £60,000 plus benefits.
* Hybrid working with two days per week in their central London office.
* The chance to shape a newly created function with strong senior sponsorship.
* Clear visibility and impact across commercial, digital, and merchandising teams.
* Opportunities for progression as the digital operations capability continues to grow.

How to Apply
If this sounds like the right next step for you, please apply with your CV for immediate consideration.

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SEO Manager
London – 4 days in Office
£45,000

This role offers the chance to take ownership of SEO performance for a major ecommerce retail site, driving meaningful commercial impact. You will work in a fast-paced digital environment where SEO is valued, well-resourced and central to wider growth plans.

The Company
We are a large multi brand retail organisation operating across sports, fashion and lifestyle. Our digital function plays an essential role in delivering growth and supporting high volume ecommerce performance. SEO is a respected, data driven capability with strong relationships across trading and commercial teams. You will join a collaborative environment that encourages innovation, curiosity and continuous improvement.

The Role

• Lead and optimise SEO performance for a high traffic ecommerce site.
• Shape and deliver a full SEO strategy across technical, content and onsite optimisation.
• Conduct keyword research and identify performance opportunities.
• Manage site health including crawling, indexing and technical diagnostics.
• Work with trading, content and commercial teams to align SEO with business priorities.
• Collaborate with agency partners to deliver roadmap initiatives.
• Report on KPIs and share insight with stakeholders.
• Support junior team members in the premium focused position.

Your Skills and Experience

• Strong commercial experience across technical and content SEO.
• Confidence taking ownership of SEO performance for a large-scale site.
• Comfortable operating with autonomy and adapting quickly to change.
• Skilled in stakeholder engagement across multiple teams.
• Proficient with Screaming Frog, Google Search Console and GA4.
• Analytical mindset with the ability to prioritise effectively.
• A proactive approach and genuine interest in driving SEO growth.

What We Offer

• Four days a week in the office.
• Exposure to a wide portfolio of well-known consumer brands.
• Strong autonomy and clear visibility of your impact.
• Support from experienced agency partners and a collaborative internal team.
• Opportunities to grow within a scaling digital function.

How to Apply
To be considered for this SEO Manager position, please submit your CV.

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Head of Data – Agency
Salary up to £125,000
London – 3 days in the office

This is an exciting opportunity to build and lead a brand‑new data function for a fast‑growing organisation where data is central to shaping commercial, operational, and strategic decision‑making.

The Company
They are a dynamic, high‑growth business operating in a fast‑paced environment where data, insight, and innovation sit at the heart of their strategy. With an integrated model and a broad range of internal stakeholders, they rely on high‑quality data to improve performance, unlock efficiency, and support long‑term value creation. They are committed to collaboration, empowerment, and a culture built on ownership and continuous improvement.

The Role
In this newly created position, you will architect and lead the complete data function from the ground up. You will:

• Build and deploy a centralised data warehouse using modern cloud technologies.
• Integrate core business systems to create a single, reliable data environment.
• Develop high‑impact dashboards and reporting for senior leaders and operational teams.
• Establish robust data pipelines, governance frameworks, and architecture standards.
• Shape and deliver the organisation’s data strategy in alignment with commercial goals.
• Build and lead a small, high‑performing data team.
• Partner with finance, commercial, and operational teams to deliver actionable insights.
• Champion data literacy and promote data‑driven decision‑making across the organisation.

Your Skills and Experience
To succeed, you will bring:

• Strong commercial experience building or scaling data functions in complex or fast‑moving environments.
• Deep technical capability across data warehousing, integration, and analytics, ideally with modern cloud platforms.
• Confidence in working with multiple data sources and business systems.
• Excellent communication skills, with the ability to influence senior stakeholders.
• A proactive, delivery‑focused approach and an entrepreneurial mindset.

What They Offer

• Competitive salary and comprehensive benefits package.
• The opportunity to build a data function from scratch and shape long‑term strategy.
• A high‑impact role with visibility across the senior leadership team.
• Strong progression and development opportunities within a growing organisation.

How to Apply
If this sounds like the right next step for you, please apply with your CV to be considered.

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Contract Opportunity: Data Scientist / Data Engineer (Python, Databricks, Document Parsing & Web Scraping)

A leading organisation is seeking an experienced Data Scientist / Data Engineer to join their team on a contract basis. The successful candidate will be responsible for developing and optimising data workflows in a Databricks environment, with a strong focus on Python scripting, document parsing, and web scraping.

Key Responsibilities

• Design, build, and maintain efficient Python scripts for data extraction, transformation, and analysis.
• Develop and manage scalable data pipelines within a Databricks environment.
• Implement solutions for automated document parsing (structured and unstructured data).
• Design and deploy robust web scraping workflows to capture external data sources.
• Collaborate with internal stakeholders to translate business requirements into data-driven solutions.
• Ensure best practices in data quality, integrity, and compliance throughout all workflows.

Key Skills & Experience

• Proven expertise in Python programming for data engineering tasks.
• Hands-on experience with Databricks (or similar Spark-based platforms).
• Strong knowledge of document parsing libraries and approaches (e.g. PDF/text extraction, NLP preprocessing).
• Experience developing scalable and ethical web scraping solutions.
• Familiarity with data governance, compliance, and secure handling of sensitive data.
• Strong problem-solving skills and ability to work independently in a contract/consulting capacity.

Contract Details

• Contract role (initial [insert duration, e.g., 6 months])
• Location: Amsterdam
• Competitive day rate (depending on experience)

This is an excellent opportunity for a skilled Data Scientist / Data Engineer who thrives in a contract environment and enjoys working on complex data extraction and processing challenges.

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Head of Data

London

£125,000

This is an exciting opportunity to design and lead a brand new data function within a fast paced, private equity backed business. You will build the data foundations, shape the strategy, and deliver analytics that directly drive commercial performance. If you enjoy taking ownership, creating structure from the ground up, and influencing senior stakeholders, this role offers real impact from day one.

The Company

They are a high growth agency supported by private equity investment and undergoing significant transformation. Data is central to their future strategy, and they are committed to building a modern, scalable data capability. You will work closely with leaders across operations, finance and commercial teams in a collaborative and fast moving environment. It is an excellent setting for someone who thrives on solving complex challenges and delivering meaningful change.

The Role

• Build and deploy a centralised data warehouse using Microsoft Fabric, integrating key operational and financial systems.
• Create management dashboards for global leaders, agency heads and account teams to support proactive decision making.
• Develop reliable data pipelines and ETL processes to deliver accurate, timely and secure data.
• Define and deliver a scalable data strategy aligned with growth plans and PE value creation priorities.
• Recruit and lead a small, high performing data team, fostering a culture focused on agility and ownership.
• Implement strong data architecture, governance and security standards.
• Partner with commercial, finance and operational teams to provide analytics that address business challenges.
• Support PE sponsors with KPI tracking, reporting and performance analysis.

Your Skills and Experience

• Proven ability to build a data function from scratch within a high growth or PE backed environment.
• Sector experience in advertising, media, or technology. Agency background preferred.
• Strong technical expertise in data warehousing, integration and analytics, ideally with Microsoft Fabric.
• Comfortable working with diverse operational and financial data sources.
• Excellent communication and stakeholder engagement skills, with confidence influencing senior leaders.
• A proactive, delivery focused approach in fast changing environments.
• Experience with Power BI, dbt, Azure, Python or Snowflake is an advantage.

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