Senior AI & Agent Engineer — LLM & RAG Platforms

Appnovation; Bogota (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Appnovation is looking for an AI / Agent Engineer to join our team and build the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines to enable rich, factual handling of documents across multiple large language models.

You will collaborate with product, data, and QA in an agile environment, staying current with evolving LLM tooling and ensuring high-quality, maintainable code.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/engineering.
• 5+ years of software engineering, with 2+ years in AI/ML or LLM-based apps.
• Strong Python and hands-on LLM app development experience.
• 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 Postgres/Supabase).
• Comfortable evaluating multiple LLM providers; solid fundamentals: Git, testing, CI/CD.

Responsibilities

• Build and evolve MCP servers, tools, and skills exposing the platform to multiple LLMs.
• Design and refine graph-RAG pipelines transforming documents into agent-friendly representations.
• Implement retrieval across source document, vector-RAG, dense graph layers; enable temporal replay.
• Partner with QA to drive eval-based improvements in answer quality.
• Write clean, production-grade code and participate in reviews.
• Collaborate with product, data, and QA in an agile/sprint model.
• Document designs, prompts, and tool interfaces for maintainability.
• Monitor deployed agents/models; troubleshoot and improve performance.
• Stay current with fast-moving LLM/agent tooling.

Skills

Python

AI/ML development

LLM integration

Problem solving

Independent work

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Neo4j

PostgreSQL

Supabase

Git

CI/CD

Vector databases

Job description

Appnovation is looking for an AI / Agent Engineer to join our team and build the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines to enable rich, factual handling of documents across multiple large language models.

You will collaborate with product, data, and QA in an agile environment, staying current with evolving LLM tooling and ensuring high-quality, maintainable code.