AI / Agent Engineer

About Us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. The technology department focuses on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms. Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines.

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.

Requirements

• 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.

Skills

• Think about how to scale, automate, and operate, not just how to build a solution to an immediate problem.
• Understand lean thinking.
• Set high standards for code quality, performance/scalability, and security, and seek continuous improvement.
• Strong analytical, problem-solving, and decision-making skills.
• Customer-first mindset and a devotion to customer service.
• Engage and build positive internal and external client relationships while managing multiple initiatives, often with competing priorities.
• Strong self-initiative, passion, interpersonal, oral, and written communication, and collaboration skills.
• Ability to work, influence, and make an impact in a cross-functional environment with all levels of the organization.
• Responsive and thrive in a fast-paced, diverse, high-performance environment with rapidly changing business needs.
• Actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies.
• Prior experience in consulting.
• Prior experience and connections in the Life Sciences industry is preferred.