AI Agent Engineer: Build Multi-LLM Pipelines

Appnovation; Bogota (NJ); On-site; USD 130,000 - 190,000; Full time

Job summary

Appnovation is seeking an AI/Agent Engineer to join the core platform team. You will build MCP servers, tools, and graph-RAG pipelines that enable agents to reason over documents across several LLM providers. This role requires strong Python, AI/ML experience, and a track record with MCP-style architectures.

You will collaborate with product, data, and QA in an agile environment, document interfaces, and stay ahead of evolving LLM tooling. Strong independence and problem-solving are essential.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5 years of software engineering, with 2 years in AI/ML or LLM-based applications.
• Strong Python, with hands-on experience in LLM application development and agentic patterns.
• Direct experience building MCP servers, tools, and skills.
• Experience with RAG and graph-RAG systems, vector databases, and embeddings.
• Familiarity with graph data stores (Neo4j and/or Postgres/Supabase-based graph implementations).
• Comfortable working against multiple LLM providers (e.g., Claude, Gemini).
• Solid software engineering fundamentals: Git, testing, and CI/CD.
• Strong problem-solving and communication skills, with the ability to work independently in ambiguity.

Responsibilities

• Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
• Design and refine the graph-RAG pipeline that transforms 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 on eval-driven improvements to answer quality and factual grounding.
• Write clean, well-tested, production-grade code and participate in code reviews.
• Collaborate closely with product, data, and QA in an agile/sprint model.
• Document designs, prompts, and tool interfaces for maintainability and handover.
• Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
• Stay current with the fast-moving LLM/agent tooling landscape.

Skills

Python programming

AI/ML

LLM applications

MCP servers

RAG graph

Vector databases

Embeddings

Graph databases

Git

CI/CD

Communication

Independent work

Education

Bachelor’s degree in CS or engineering

Tools

Git

CI/CD

Neo4j

Postgres/Supabase

Claude

Gemini

Job description

Appnovation is seeking an AI/Agent Engineer to join the core platform team. You will build MCP servers, tools, and graph-RAG pipelines that enable agents to reason over documents across several LLM providers. This role requires strong Python, AI/ML experience, and a track record with MCP-style architectures.

You will collaborate with product, data, and QA in an agile environment, document interfaces, and stay ahead of evolving LLM tooling. Strong independence and problem-solving are essential.