Capco

2 days ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design, build, and deploy advanced generative AI and agentic systems for enterprise financial services clients. You’ll architect multi-agent and multimodal solutions, implement agentic workflows with prompt engineering and RAG, and fine-tune models for scalability, reliability, and low latency. Partner with cross-functional teams and client stakeholders to accelerate GenAI adoption, while building production-grade MLOps pipelines and cloud-native deployments.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video.
•Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations.
•Fine-tune, optimize, and deploy large language and multi-modal models for scalability, reliability, and low-latency performance.
•Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments.
•Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments.

Pay and Benefits

Perks:Health InsurancePensionLife InsuranceDentalAnnual Bonus

Key Requirements

•Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline.
•Proven hands-on experience deploying LLMs and multi-modal AI models in enterprise or large-scale production environments.
•Strong software engineering expertise in Python, including backend development, API design, and distributed systems.
•Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures.
•Excellent communication, stakeholder management, and problem-solving skills in agile delivery environments.

Experience:Financial servicesBankingRegulated environmentsGenerative AILLMsMultimodal AIAgentic systemsMLOps

Education:Bachelor's in Computer Science, Artificial Intelligence, Engineering

Skills:CommunicationStakeholder managementProblem-solvingAgile delivery

Languages:English

Tech Stack:PythonLLMsMulti-modal large language modelsPrompt engineeringRetrieval-Augmented Generation (RAG)APIsEnterprise data integrationsMLOpsObservabilityCI/CDCloud-native AI deployment architecturesAWSAzureGCPVector databasesSemantic searchLarge language and multi-modal modelsMulti-agent systems

Company Brief

Capco

Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.

Industry: Management Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 1998

Glassdoor: 3.7

Website LinkedIn

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Capco

2 days ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video.
•Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations.
•Fine-tune, optimize, and deploy large language and multi-modal models for scalability, reliability, and low-latency performance.
•Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments.
•Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments.

Pay and Benefits

Perks:Health InsurancePensionLife InsuranceDentalAnnual Bonus

Key Requirements

•Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline.
•Proven hands-on experience deploying LLMs and multi-modal AI models in enterprise or large-scale production environments.
•Strong software engineering expertise in Python, including backend development, API design, and distributed systems.
•Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures.
•Excellent communication, stakeholder management, and problem-solving skills in agile delivery environments.

Experience:Financial servicesBankingRegulated environmentsGenerative AILLMsMultimodal AIAgentic systemsMLOps

Education:Bachelor's in Computer Science, Artificial Intelligence, Engineering

Skills:CommunicationStakeholder managementProblem-solvingAgile delivery

Languages:English

Company Brief

Capco

Industry: Management Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 1998

Glassdoor: 3.7

Website LinkedIn