AI / Agent Engineer

Appnovation Technologies

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience.
  • 5+ years in software engineering; 2+ years in AI/ML or LLM applications.
  • Strong proficiency in Python with experience in LLM development.
  • Direct experience with building MCP servers and tools.
  • Familiarity with RAG systems, graph databases, and embeddings.
  • Comfortable working with various LLM providers (e.g., Claude, Gemini).
  • Solid understanding of software engineering practices like version control and CI/CD.

Responsibilities

  • Build and evolve MCP servers and tools for multi-LLM exposure.
  • Design the graph-RAG pipeline for document transformation.
  • Implement multi-tier retrieval and temporal replay.
  • Partner with QA for answer quality improvements.
  • Write and review production-grade code systematically.
  • Collaborate with cross-functional teams in an agile model.
  • Document technical designs for clarity and future handoffs.
  • Monitor and troubleshoot deployed agent performance.

Benefits

  • Collaborative environment with a motivated team in AI.
  • Opportunities to work on cutting-edge technology in AI and ML.
  • Involvement in high-impact projects that shape AI development.
  • Access to professional development and continuous learning resources.
Full Job Description
As an AI / Agent Engineer - an "AI Builder" - you will join a highly motivated and experienced team at the core of every pod, building and evolving the agentic layer of our platform. You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding. We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done. KEY 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. QUALIFICATIONS • Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience. • 5+ years of experience in 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: version control (Git), testing, and CI/CD. • Strong problem-solving and communication skills, with the ability to work independently in ambiguity. WHO YOU ARE • You think about how to scale, automate and operate, not just how to build a solution to an immediate problem • You understand lean thinking • You set high standards for code quality, performance/scalability and security and seek continuous improvement • You have solid analytical, problem solving and decision-making skills • You have customer first mindset and a devotion to customer service • You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities • You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization • You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs • You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies • You have prior experience in consulting • Prior experience and connections in the Life Sciences industry is preferred

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