Indicium Tech
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Indicium Tech
London About Indicium AI Indicium AI was Anthropic's first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role This is a technical leadership role at the centre of our Forward Deployed AI Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed AI Engineers who embed directly with our most strategic clients to ship production AI systems that solve real business problems. You will own how we show up in the market - from the quality of individual engagements to the patterns and playbooks that let the practice scale. This means managing hands-on technical delivery in enterprise, shaping architecture on complex engagements, developing vertical fluency across the team, and partnering with Sales to shape the pipeline. It is a player-coach role: your primary impact will come from the people you hire, the standards you set, and the culture you create - but you will stay close enough to the work to review architectures, unblock production issues, and pair with your team when it matters. You will work directly with clients at the most senior level, with Anthropic teams, and with Indicium AI leadership to define the direction of our AI engineering practice. The best FDE leaders we have seen do not just run a team - they define what good looks like, and they build the organisation that delivers it consistently. What You Will Do Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers - setting a high bar for technical talent, client instincts, and delivery quality Own the technical and operational bar for AI engineering engagements - reviewing SOWs, shaping architecture on complex deployments, and ensuring your team ships production-grade systems Build the playbooks and repeatable patterns that turn one-off successes into a scalable, long-term customer engagements Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between strategic conversations with C-suite stakeholders and debugging sessions with your engineers Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - ensuring credibility with domain-expert clients Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level and influencing partner product direction through field insights Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member Drive knowledge sharing and raise the bar for the practice through codified patterns, internal training, and a culture of engineering excellence What We Are Looking For 8+ years in technical roles with at least 3 years leading engineering or delivery teams - in forward deployed engineering, technical consulting, applied AI, or solutions architecture Production experience building AI applications including agentic systems, multi-agent orchestration, advanced RAG, evaluation frameworks, and deployment at scale in regulated enterprise environments A track record of building teams from early stage - hiring, developing, and retaining strong engineers, not just inheriting an existing organisation Experience working directly with enterprise clients on technical implementations, including comfort navigating complex organisational dynamics, procurement, compliance, and resistant stakeholders Executive presence - you can hold your own in a C-suite conversation and translate technical complexity into clear narratives for diverse audiences Strong Python proficiency and genuine comfort with production code - you are a builder at heart Vertical depth in at least one of Financial Services, Energy, or Healthcare High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have Former technical founder or CTO - you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level External presence - writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model
London About Indicium AI Indicium AI was Anthropic's first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role This is a technical leadership role at the centre of our Forward Deployed AI Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed AI Engineers who embed directly with our most strategic clients to ship production AI systems that solve real business problems. You will own how we show up in the market - from the quality of individual engagements to the patterns and playbooks that let the practice scale. This means managing hands-on technical delivery in enterprise, shaping architecture on complex engagements, developing vertical fluency across the team, and partnering with Sales to shape the pipeline. It is a player-coach role: your primary impact will come from the people you hire, the standards you set, and the culture you create - but you will stay close enough to the work to review architectures, unblock production issues, and pair with your team when it matters. You will work directly with clients at the most senior level, with Anthropic teams, and with Indicium AI leadership to define the direction of our AI engineering practice. The best FDE leaders we have seen do not just run a team - they define what good looks like, and they build the organisation that delivers it consistently. What You Will Do Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers - setting a high bar for technical talent, client instincts, and delivery quality Own the technical and operational bar for AI engineering engagements - reviewing SOWs, shaping architecture on complex deployments, and ensuring your team ships production-grade systems Build the playbooks and repeatable patterns that turn one-off successes into a scalable, long-term customer engagements Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between strategic conversations with C-suite stakeholders and debugging sessions with your engineers Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - ensuring credibility with domain-expert clients Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level and influencing partner product direction through field insights Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member Drive knowledge sharing and raise the bar for the practice through codified patterns, internal training, and a culture of engineering excellence What We Are Looking For 8+ years in technical roles with at least 3 years leading engineering or delivery teams - in forward deployed engineering, technical consulting, applied AI, or solutions architecture Production experience building AI applications including agentic systems, multi-agent orchestration, advanced RAG, evaluation frameworks, and deployment at scale in regulated enterprise environments A track record of building teams from early stage - hiring, developing, and retaining strong engineers, not just inheriting an existing organisation Experience working directly with enterprise clients on technical implementations, including comfort navigating complex organisational dynamics, procurement, compliance, and resistant stakeholders Executive presence - you can hold your own in a C-suite conversation and translate technical complexity into clear narratives for diverse audiences Strong Python proficiency and genuine comfort with production code - you are a builder at heart Vertical depth in at least one of Financial Services, Energy, or Healthcare High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have Former technical founder or CTO - you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level External presence - writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model