AI Engineer

The Role

• The Fastmarkets Innovation & AI team sits within the Technology function and is responsible for developing and delivering the companys AI and data strategy through agentic AI systems intelligent data applications and AI-powered analytics. The team has built a modern data platform and is actively shipping AI capabilities across the businessfrom agentic request intake systems to natural language data exploration tools powered by LLMs and semantic models.

  Reporting directly into the Head of AI Enablement we are looking for an AI Engineer to design build and ship AI-powered applications and features. This is a fantastic opportunity to join us and contribute to a high-performing workstream delivering transformational AI capabilities across both internal tools and monetizable data assets. You will work with cutting-edge AI technologiesAnthropic Claude Snowflake Cortex AI semantic models and agentic frameworksto build systems that enable users to interact with data and insights in entirely new ways.

  The AI Engineer will take responsibility for the full lifecycle of AI features: from designing agents and LLM-powered workflows to connecting them to data via pipelines and semantic models to shipping polished user-facing applications. You will ensure that AI systems are reliable observable and deliver measurable business value.

  We actively leverage AI tools across the engineering workflow including Anthropic Claude for code generation design and review and Snowflake Cortex AI capabilities for in-platform intelligence. The successful candidate will be expected to embrace AI-assisted development as a core part of how we work.

  The role requires a high standard of expertise in Python and TypeScript/JavaScript as well as specialist knowledge of LLMs prompt engineering agentic systems and semantic data modelling. You should be comfortable working across the full stackfrom designing LLM-powered backends to building modern React frontends.

Principal Accountabilities

Design and develop agentic AI systems that solve real business problemsrequest intake agents natural language query systems intelligent data exploration tools and AI-powered search and analysis features

Integrate LLMs into applications using best practices: prompt engineering tool use multi-turn conversation management output validation and cost optimisation

Build semantic models and data schemas that enable natural language querying over enterprise data (Snowflake Cortex Analyst custom RAG systems)

Connect AI systems to data pipelines: design how data flows from source transformation semantic layer AI application ensuring freshness quality and lineage are observable

Develop full-stack AI applications: frontends with streaming chat UIs FastAPI/Python backends for agentic workflows and server-side integration with LLMs and data platforms

Implement observability and evaluation frameworks for AI systemsstructured logging conversation tracing golden evals and adversarial verification of agent behaviour

Work with modern orchestration and deployment patterns: containerised on-demand environments Snowflake SPCS CI/CD pipelines and infrastructure-as-code

Write production-grade Python and TypeScript: follow code-first practices maintain strict type safety build testable systems with clear separation of concerns

Embrace AI-assisted development: use Claude for code generation architecture design and code review to accelerate delivery without compromising quality

Identify and promote best practices in AI engineering: recommend improvements to prompting strategies evaluation methodology data schema design and system reliability

Excellent problem-solving skills and ability to embrace changeAI is a rapidly evolving field; you should be curious experimental and comfortable with ambiguity

Effective communication and collaboration skills: youll work cross-functionally with data engineers product teams and business stakeholders to translate requirements into shipped AI features

Natural self-starter with enthusiasm for learning and research: staying current with the latest in LLMs prompt engineering and agentic systems is essential

KEY INTERFACES

Internal:

Head of AI Enablement

Data Engineering team (for data pipeline and schema design)

Technology & Infrastructure teams

Product and Commercial teams

BI & Analytics teams & stakeholders across the business

External:

Anthropic technical partnerships team

Snowflake technical account team

Cloud platform providers (Azure AWS Snowflake)

Third-party vendor and tooling support

Qualifications :

We recruit talented dynamic people with diverse backgrounds and experiences all united by a belief in our mission to provide the worlds leading and most trusted price reporting events and intelligence service for the markets we serve. Were proud to be an equal opportunities employer and are committed to creating a fully inclusive workplace where everyone feels able to participate and contribute meaningfully.

If you are open-minded curious resilient solutions-oriented and committed to promoting equality then read on.

KNOWLEDGE EXPERIENCE AND SKILLS

We are looking for an individual who is highly motivated driven and have a passion to be part of a fast-paced successful team. Being a strong team player is also important as well as someone who is happy to work flexibly.

Essential

Advanced Python expertise async/await dependency injection structured logging testing patterns Python type hints (Pydantic v2). Experience building production API services (FastAPI Django Flask).

TypeScript / JavaScript expertise React 18 (App Router Server Components) async state management type-safe API clients. Comfortable with modern frontend patterns and server-driven rendering.

LLM and prompt engineering knowledge multi-turn conversation design tool use and function calling prompt optimisation output parsing and validation cost and latency considerations understanding of model capabilities and limitations.

Familiarity with agentic AI frameworks experience building or working with agents ReAct patterns tool-calling loops planning and reasoning constraint satisfaction. Can implement agent loops from scratch using the Anthropic SDK.

Snowflake expertise SQL (CTEs stored procedures query tuning) Snowflake-specific features (Snowpark for Python transformations zero-copy cloning containerised compute). Knowledge of Cortex AI capabilities (Cortex Analyst embeddings vector search) is highly desirable.

Semantic data modelling designing data schemas and semantic layers that enable natural language queries. Understanding of fact tables dimensions metrics and how LLMs reason over structured data. Familiarity with Cortex Analyst YAML or similar semantic modelling approaches.

API integration and data transformation working with REST/GraphQL APIs JSON/Protocol Buffer parsing data validation designing robust connectors that handle edge cases and errors gracefully.

Git version control branching strategies pull requests merge conflict resolution atomic commits clear commit messages.

CI/CD principles and experience GitHub Actions test automation deployment pipelines infrastructure-as-code mindset.

Cloud services experience Azure AWS or GCP. Ability to identify and configure suitable cloud services and resources.

Solid understanding of data modelling approaches fact tables dimensions normalisation and denormalisation tradeoffs. How to structure data to serve both analytics and AI use cases.

Excellent analytical and problem-solving skills you can diagnose why an agent is failing why a semantic model isnt returning the right results or why a data pipeline isnt fresh.

Strong communication skills with attention to detail you can explain AI system design decisions to non-technical stakeholders and write clear documentation.

Desirable

Experience with Anthropic Claude and the Anthropic Python SDK hands-on work building agentic systems or multi-turn applications.

Snowflake Cortex Analyst experience designing semantic models writing YAML iterating on metrics and dimensions for NL query accuracy.

Semantic search and RAG building retrieval-augmented generation systems vector databases embedding strategies and hybrid search (lexical semantic).

Container orchestration and Kubernetes deploying containerised services understanding networking resource management scaling patterns.

Infrastructure as Code Terraform Pulumi or similar defining cloud resources as code.

Event streaming and real-time data Apache Kafka Azure Service Bus or similar; designing systems that react to data changes in near-real-time.

Evaluation frameworks for AI systems golden datasets adversarial testing metric definition A/B testing of prompts or models.

Data quality and observability implementing automated checks monitoring and alerting for both data pipelines and AI systems. Familiarity with tools like dbt Great Expectations.

Exposure to CRM systems (Salesforce) and marketing platforms (Marketo).

Experience shipping full-stack AI applications end-to-end responsibility from data AI backend user-facing frontend.

Formal Qualifications

Degree in Computer Science Engineering Mathematics or related technical field OR 3 years professional experience building AI systems data applications or production ML systems

Can demonstrate experience working on a project that delivered transformational change or exceptional business value or a personal AI/data project that required significant research learning and execution (e.g. a bot data analysis tool RAG system semantic search application)

Certifications in Snowflake cloud platforms or LLM engineering are a nice-to-have but not required.

If youre excited about the role but your experience skills or qualifications dont perfectly align we encourage you to apply anyway.

Additional Information :

Our Values

Fastmarkets people come from all different walks of life. Its this mix of brilliant personalities experiences and insights that gives us that warm open and friendly culture you can feel as soon as you meet us. But however wonderfully different we all are there are six things we all have in common and they form our Fastmarkets values.

Created by our own employees to reflect some of the personal traits that Fastmarkets people have our values are key to what makes our culture unique. They reflect who each of us are and theyre embedded in everything we do. Our values are:

• METRICS DRIVEN. We use insights to improve our customers experience and our business performance
• ACCOUNTABLE. We are accountable to ourselves and those we work with: we keep our promises and get things done
• GROWTH MINDSET. This value enables us to be nimble to the changing realities and operate with a sense of urgency
• INCLUSIVE. We are inclusive and respectful celebrating each of us and giving everyone a deep sense of belonging with the desire to bring their best self to work every day.
• CUSTOMER CENTRIC. We are customer-centric in all that we do
• COLLABORATIVE. We are collaborative able to work across teams and capitalise on the diversity of intellect perspectives and experiences.

We are committed to ensuring all candidates feel welcomed and supported. Should your application advance and you require accommodations for the interview process please inform us so we can make the necessary arrangements.

Reward and benefits at Fastmarkets

We believe in fair pay and benefits that support you both inside and outside of work. Through Fastmarkets Rewards youll have access to a range of core benefits and a flexible allowance giving you the freedom to tailor your package to suit your lifestyle wellbeing and financial priorities. We know that everyones needs are different so weve designed our benefits to support our diverse global team wherever theyre based.

Specific benefits may vary by country and role.

Youve read a little about us now its over to you!

If you like what youve read so far and think you can see yourself as a Fastmarkets person its time to fill in your application form. This form is an important part of the selection process: its used to determine whether or not youll be chosen to have an interview and acts as a basis for the questions well ask you on the day.

Its vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why youre great.

Remote Work :

No

Employment Type :

Full-time