AI / Agent Engineer

Appnovation
New York, Austin, Miami, Dallas
Workplace: OnsiteContractFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration","Independence","Lean thinking"]

Build and evolve the agentic layer of the platform by crafting MCP servers, tools, and skills that connect the system to multiple LLM providers. Design and refine graph-RAG pipelines to transform documents into agent-ready fact representations, and implement tiered retrieval including temporal replay. Collaborate with product, data, and QA to improve answer quality and factual grounding, writing production-grade Python code with strong testing, CI/CD, and documentation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Appnovation
Appnovation
1 day ago

AI / Agent Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 minutes agoStatus: Live

Job Summary

Build and evolve the agentic layer of the platform by crafting MCP servers, tools, and skills that connect the system to multiple LLM providers. Design and refine graph-RAG pipelines to transform documents into agent-ready fact representations, and implement tiered retrieval including temporal replay. Collaborate with product, data, and QA to improve answer quality and factual grounding, writing production-grade Python code with strong testing, CI/CD, and documentation.
Location: New York, Austin, Miami, Dallas
Workplace: Onsite
Employment Type: Contract
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.
  • •Design and refine graph-RAG pipelines that convert documents into agent-friendly representations of facts, entities, and relationships.
  • •Implement tiered retrieval across source documents, vector-RAG, dense graph, and temporal replay.
  • •Partner with QA to deliver eval-driven improvements to answer quality and factual grounding.
  • •Write clean, well-tested, production-grade code and collaborate with product, data, and QA in an agile/sprint model.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • •5+ years of software engineering experience, including 2+ years in AI/ML or LLM-based applications.
  • •Strong Python skills with hands-on experience building LLM applications and agentic patterns.
  • •Direct experience building MCP servers, tools, and skills.
  • •Experience with RAG and graph-RAG systems, vector databases/embeddings, and graph data stores such as Neo4j or Postgres/Supabase-based implementations.
Experience:5+ yearsAI/MLLLM applications
Education:Bachelor's
Skills:Problem-solvingCommunicationCollaborationIndependenceLean thinking
Languages:English
Tech Stack:PythonLLMsClaudeGeminiMCP serversGraph-RAGRAGVector databasesEmbeddingsNeo4jPostgresSupabaseGitCI/CDRetrievalGraph data stores

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