AI Engineer

Compunnel

$120K — $145K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software development experience.
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
  • Proficiency in LangGraph, including graphs, tool nodes, memory/state, and streaming agents.
  • Hands-on experience with Google Vertex AI, including Gemini, RAG, and Vector Search.
  • Strong experience in AI/ML and proficiency in Python.
  • Familiarity with JavaScript and HTML for comprehensive development.
  • Experience in designing scalable AI-driven systems.

Responsibilities

  • Design complex applications and architectural components.
  • Build end-to-end AI solutions with LangGraph, RAG, and Vertex AI.
  • Develop LangGraph solutions using advanced techniques.
  • Utilize Google Vertex AI features for AI safety and effectiveness.
  • Lead architecture and design of scalable enterprise solutions.
  • Transform proof-of-concepts into fully operating products.
  • Guide a small development team in application creation and testing.

Benefits

  • Opportunity to work on cutting-edge AI technologies and solutions.
  • Potential for mentoring and leading development teams.
  • Collaboration with stakeholders across various teams.
  • Development of innovative products and enhancements to existing solutions.
Full Job Description
Job Summary:

Seeking a Senior Software Developer with 5+ years of experience and deep hands-on expertise in building AI-driven and agentic automation solutions. The ideal candidate will have strong experience with LangGraph, Google Vertex AI, Python, and AI/ML, with the ability to design scalable enterprise solutions incorporating advanced reasoning, workflow orchestration, multi-agent systems, RAG, and Gemini. The role involves technical leadership, solution architecture, product innovation, and transforming proof-of-concepts into production-grade products.

Key Responsibilities:
• Perform detailed design of complex applications and architecture components.
• Design and build end-to-end AI solutions using LangGraph, RAG, Gemini, Vertex AI, Python, and React.
• Build LangGraph solutions using graphs, tool nodes, memory/state management, and streaming agents.
• Leverage Google Vertex AI capabilities including Gemini, RAG, Vector Search, embeddings, and AI safety.
• Lead system architecture and technical design for scalable, maintainable enterprise solutions.
• Develop proof-of-concepts and transform successful concepts into production-grade products.
• Lead or support a small team of developers in configuring, programming, and testing applications.
• Fix medium to complex defects and resolve application performance issues.
• Monitor, track, and participate in ticket resolution for assigned applications.
• Manage code reviews and mentor other developers.
• Provide technical leadership, mentoring, and guidance to development teams.
• Work closely with stakeholders to address complex business and technical challenges.
• Collaborate across teams to ensure delivery of high-quality, scalable, and maintainable solutions.
• Identify opportunities for product innovation and improvements to existing solutions.
• Apply strong understanding of end-to-end system flows and product strategy to AI solution development.

Required Qualifications:
• 5+ years of relevant professional experience.
• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong hands-on experience with LangGraph, including graphs, tool nodes, memory/state, and streaming agents.
• Strong hands-on experience with Google Vertex AI, including Gemini, RAG, Vector Search, embeddings, and AI safety.
• Strong experience in AI/ML.
• Strong proficiency in Python.
• Experience with JavaScript and HTML.
• Experience designing and building scalable AI-driven and agentic systems.
• Experience with solution architecture, technical design, and end-to-end application development.

Preferred Qualifications:
• Experience with React.
• Chatbot development experience.
• Experience with proof-of-concept development and productionizing AI solutions.
• Experience providing technical leadership, mentoring, and guidance to development teams.

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