Mid Level AI Engineer

Capco
Orlando
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Communication","Problem-solving"]

Design, build, and deploy generative AI applications using LLMs, RAG, and agentic architectures. Develop RAG solutions with vector databases and enterprise knowledge sources, create agents that integrate with APIs and business systems, and implement scalable REST APIs and cloud-native backend services. Collaborate with software engineers, product managers, and AI specialists to deliver production-ready AI solutions for complex business challenges, in a fast-growing AI capability.

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FursaFursa
Capco
Capco
2 days 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: 19 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Design, build, and deploy generative AI applications using LLMs, RAG, and agentic architectures. Develop RAG solutions with vector databases and enterprise knowledge sources, create agents that integrate with APIs and business systems, and implement scalable REST APIs and cloud-native backend services. Collaborate with software engineers, product managers, and AI specialists to deliver production-ready AI solutions for complex business challenges, in a fast-growing AI capability.
Location: Orlando
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deploy AI-powered applications using large language models and modern generative AI frameworks.
  • •Develop and optimize RAG solutions leveraging vector databases and enterprise knowledge sources.
  • •Create intelligent AI agents and workflows that interact 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 production-ready AI solutions.

Pay and Benefits

Perks:Health InsuranceDentalVision401kMaternity LeavePaternity LeaveWellness StipendHsaFsa

Key Requirements

  • •2–3 years of professional software and AI engineering experience.
  • •Hands-on experience building generative AI applications with LLMs and leading LLM providers (e.g., OpenAI, Anthropic, Gemini, Azure OpenAI) or open-source models.
  • •Strong Python development skills building REST APIs, microservices, and scalable backend applications.
  • •Practical RAG experience using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
  • •Understanding of software engineering best practices (Git, CI/CD, testing, code reviews) and cloud platforms (AWS, Azure, or Google Cloud).
Experience:Generative AILLMRAGMicroservicesAI engineering
Skills:CollaborationCommunicationProblem-solving
Languages:English
Tech Stack:PythonREST APIsMicroservicesOpenAIAnthropicGeminiAzure OpenAILangChainLangGraphCrewAIAutoGenSemantic KernelModel Context Protocol (MCP)LangSmithLangfuseArizePineconeWeaviateChromaQdrant

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
Glassdoor: 3.7
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