Purpose

As Valliance accelerates its growth, we are expanding our AI-native engineering capability to meet rising demand across agentic systems, retrieval, ontologies, and AI-enabled execution.

Valliance is looking for a Value Engineer a hands-on AI systems builder who combines engineering depth with product-driven thinking to design and deploy agentic, retrieval, and ontology-based systems for enterprise clients.

You will work directly with clients and alongside Value Consultants and Value Orchestrators in our 3-in-the-box delivery model, turning complex business challenges into safe, reliable, and measurable AI systems.

Key Accountabilities

1. Deep AI Engineering & Agentic System Design

You will design and build production-grade AI systems across:

• LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops.

• Multi-agent architectures, including planning, delegation, safety constraints, and monitoring.

• Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows.

• Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment.

• Integrations & automation, including API workflows, tools, and enterprise connectors.

• Prompt engineering at scale, including pattern libraries, guardrails, and explainability checks.

You will set the engineering direction for your pod and shape the architectural foundations for client solutions.

2. Technical Discovery, Feasibility & Solution Architecture

Working closely with Consultants, you will:

• Translate ambiguous business needs into clear engineering approaches.

• Conduct feasibility assessments across data, systems, and architecture.

• Participate in value-framing and use-case shaping, bringing “how it works” clarity.

• Work directly with domain experts to understand edge cases and operational requirements.

• Produce lightweight technical documentation, diagrams, and decision records.

3. Deployment, Quality, AI Ops & Reliability

You will ensure solutions are safe, observable, and maintainable:

• Implement evaluation frameworks and safety checks across model and agent behaviour.

• Build monitoring pipelines, logs, traces, and incident-handling patterns.

• Apply governance, risk, and compliance principles to AI deployments.

• Support orchestrators with release cycles, environments, and operational readiness.

• Guarantee reliability, reproducibility, and performance benchmarks.

4. Internal Knowledge, Accelerators & Capability Building

As part of Valliance’s engineering-led identity you will:

• Build reusable accelerators, agent patterns, and technical templates.

• Contribute to the Valliance Academy engineering curriculum.

• Share emerging research, frameworks, and deep-tech insights with the team.

• Influence internal methodologies, coding standards, and architectural patterns.

Profile

Experience & Skills

This is a deep-craft role. Candidates should bring:

• 6–8 years in Software/ application engineering, AI engineering, or applied data engineering.

• Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores.

• Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns.

• Proficiency in Python, including ability to build production-grade workflows.

• Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.).

• Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus.

• Ability to turn open-ended business problems into functioning prototypes quickly.

• Comfort working in client-facing delivery, alongside consultants and orchestrators.

Attributes

Aligned to Valliance’s behavioural non-negotiables and engineering expectations:

• AI Native - deeply immersed in AI tooling, research, and emerging engineering patterns.

• High agency - self-propelling, entrepreneurial, bias for action.

• Structured under ambiguity - first-principles reasoning, sharp problem-solving.

• Builder mindset - rapid prototyping, iterating, refining, shipping.

• Clear communicator - able to simplify complex systems for clients and colleagues.

• Collaborative, low ego - thrives in small senior teams.

• Quality-driven - obsessive about safety, reliability, and trust in AI systems.

Success Indicators

• Your AI systems are adopted, reliable, secure, and deliver measurable value.

• Clients trust your technical judgement and return to you for deeper engineering work.

• Consultants and Orchestrators rely on your clarity to shape and deliver engagements.

• Your accelerators, ontologies, or agentic patterns become reusable assets across Valliance.

• You raise the capability of the engineering pillar through sharing, coaching, and building.

Why Valliance

• You’ll help define how AI-native engineering transforms business execution across industries

• High-agency environment with senior teams.

• Real ownership of client outcomes.

• Deep engineering focus across agentic systems, semantic layers, and AI execution.

• Ability to shape the firm from day one.

• Sharp problems, fast cycles, minimal bureaucracy.

• This is a builder’s firm - not a legacy consultancy.

In it from the beginning

We are an early stage company backed by significant multi million investment to drive ambitious growth, and we are creating a new category in the field of consulting and professional services. We already have strong market traction and clients who need more from us.

Growth & Development

Your curiosity drives our success. We invest in learning that matters to you, from technical skills to strategic thinking. Regular conversations about where you’re headed, support to get there, and the space to try new things. We grow by helping you grow.

Moral Compass

We are committed to the responsible use of AI to advance humanity and to narrowing the AI divide between the haves and the have nots. We choose responsible optimism: to engage with AI to shape outcomes, focusing on purpose, sustainability, and widening opportunity, with transparency and open knowledge so gains are shared.

Flexible Working

We offer flexible working hours, and core hours to be together - whether that's home, in our office, or a mix of both, we trust you to decide. We're building something together, so staying connected and close colloboration is key to how we work.

Attractive Central London location

If you are in or have access to London, we occupy a modern centrally located office space, with secure cycle facilities, showers and high quality in-building catering close to busy social and shopping locations.

Health & Wellbeing

We know the work matters most when your team feels their best. That’s why we cover private medical and dental cover, mental health support, and wellness programmes that actually fit into busy lives. Taking care of yourself shouldn’t be complicated.

Pension scheme

We contribute to your pension because your future matters as much as the work we’re doing today. Building something that lasts means investing in the people making it happen.

Cycle to work scheme

Better for you, better for the planet, easier on the wallet. Get a bike through salary sacrifice and make your commute something you actually look forward to. Fresh air beats the tube every time.