Capco

1 month ago

Mid Level AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Join Capco’s AI capability to design, develop, and deploy AI-powered applications using LLMs, RAG, and agent-based architectures. Collaborate with software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions for complex business challenges, focusing on FinTech industry applications and customer-centric experiences.

Location: Orlando

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
•Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
•Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
•Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
•Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.

Pay and Benefits

Perks:MedicalDentalVision401kWellness StipendCommuter BenefitsHsaFsa

Key Requirements

•2–3 years of professional software; AI engineering experience.
•Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
•Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
•Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
•Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.

Experience:2-3 yearsAIGenerative AILLMsRAGPythonREST APIsMicroservicesCloud

Skills:PythonREST APIMicroservicesCloudDevOpsCI/CDGitTestingAPI designCloud platforms

Languages:English

Tech Stack:PythonREST APIsMicroservicesAWSAzureGoogle CloudPineconeWeaviateChromaQdrantFAISSLangChainLangSmithLangfuseDockerKubernetesReactTypeScript

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

1 month ago

Mid Level AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Orlando

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
•Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
•Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
•Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
•Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.

Pay and Benefits

Perks:MedicalDentalVision401kWellness StipendCommuter BenefitsHsaFsa

Key Requirements

•2–3 years of professional software; AI engineering experience.
•Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
•Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
•Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
•Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.

Experience:2-3 yearsAIGenerative AILLMsRAGPythonREST APIsMicroservicesCloud

Skills:PythonREST APIMicroservicesCloudDevOpsCI/CDGitTestingAPI designCloud platforms

Languages:English

Tech Stack:PythonREST APIsMicroservicesAWSAzureGoogle CloudPineconeWeaviateChromaQdrantFAISSLangChainLangSmithLangfuseDockerKubernetesReactTypeScript

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