AI / Agent Engineer

Appnovation
San Jose, Medellín, Bogotá, Mexico City, Buenos Aires
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Solution-focused mindset","Problem-solving","Communication","Ability to work independently","Cross-functional collaboration"]

Build and evolve the agentic layer of a platform by creating MCP servers, tools, skills, and graph-RAG pipelines that transform documents into agent-ready facts, entities, and relationships. Implement multi-tier retrieval (source, vector-RAG, dense graph) with temporal replay, partner with QA on eval-driven improvements for answer quality and factual grounding, and deliver production-grade, tested code with monitoring and iteration in a fast-moving LLM tooling landscape.

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FursaFursa
Appnovation
Appnovation
1 day ago

AI / Agent Engineer

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Job Summary

Build and evolve the agentic layer of a platform by creating MCP servers, tools, skills, and graph-RAG pipelines that transform documents into agent-ready facts, entities, and relationships. Implement multi-tier retrieval (source, vector-RAG, dense graph) with temporal replay, partner with QA on eval-driven improvements for answer quality and factual grounding, and deliver production-grade, tested code with monitoring and iteration in a fast-moving LLM tooling landscape.
Location: San Jose, Medellín, Bogotá, Mexico City, Buenos Aires
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
  • •Design and refine a graph-RAG pipeline to convert documents into agent-friendly representations of facts, entities, and relationships.
  • •Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
  • •Partner with QA to improve answer quality and factual grounding using eval-driven approaches.
  • •Write production-grade code, monitor deployed agents/models, troubleshoot issues, and iterate on performance.

Key Requirements

  • •Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
  • •5+ years of software engineering experience, with 2+ years in AI/ML or LLM-based applications.
  • •Strong Python experience building LLM applications and agentic patterns.
  • •Direct experience building MCP servers, tools, and skills.
  • •Experience with RAG/graph-RAG (vector databases, embeddings) and graph data stores such as Neo4j and/or Postgres/Supabase graph implementations.
Experience:5+ yearsAI/MLLLM applicationsRAGGraph-RAGAgentic patternsLife Sciences
Education:Bachelor's
Skills:Solution-focused mindsetProblem-solvingCommunicationAbility to work independentlyCross-functional collaboration
Languages:English
Tech Stack:PythonLLMMCPRAGGraph-RAGVector databasesEmbeddingsNeo4jPostgresSupabaseClaudeGeminiGitCI/CD

Company Brief

Appnovation
Provides digital transformation, design, and engineering services, helping enterprises build customer experiences, digital platforms, and integrations using open-source and cloud technologies across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Vancouver, Canada
Founded: 2007
WebsiteLinkedIn