Associate, AI Applications & Automation Engineer

About the Role

We are looking for an Associate, AI Applications & Automation Engineer who can turn real business problems into practical, reliable AI applications. You will work directly with teams across Roundglass to understand how work gets done, identify repetitive or manual processes, and build AI agents, intelligent workflows, automations, and micro-apps that make work simpler and more effective.

This role combines software engineering, applied AI, automation, and problem solving. You will work with Python, APIs, LLMs, internal data, business systems, and AI development tools to rapidly prototype solutions and turn successful ideas into dependable applications used across the organization.

The role shares some characteristics with a Forward Deployed Engineer: you will work closely with users, understand their problems, determine what should be built, and then build it.

What You'll Do

• AI Applications & Agent Development
  • Design, build, deploy, and improve AI-powered applications, assistants, and agents that solve practical business problems across Roundglass.
  • Build AI agents that analyse information, use approved tools, APIs, and data, and complete multi-step business tasks.
  • Develop lightweight AI applications and micro-apps that turn successful individual workflows into secure, reliable solutions that can be used across teams.
  • Connect LLMs with internal knowledge and structured data using techniques such as RAG, intelligent search, structured outputs, and tool/function calling.
• Workflow Automation & Integration
  • Design intelligent workflows that connect AI with business systems, data, documents, and human approvals.
  • Automate repetitive processes involving email, spreadsheets, documents, data entry, follow-ups, and other business applications.
  • Develop integrations using Python, APIs, databases, webhooks, authentication, and third-party systems.
  • Build workflows that can interpret incoming information, extract relevant data, update internal systems, and route actions to the appropriate teams.
• Business Partnership & Solution Design
  • Partner directly with business and technical teams to understand processes, identify pain points, and determine where AI and automation can create meaningful value.
  • Translate business requirements into practical AI solutions with clear objectives, workflows, and expected outcomes.
  • Rapidly prototype solutions, test them with users, gather feedback, and turn successful concepts into reliable applications.
  • Help teams identify opportunities to simplify or redesign existing processes rather than automating inefficient workflows as they exist today.
• Quality, Reliability & Continuous Improvement
  • Evaluate AI solutions for accuracy, reliability, performance, security, cost, and business value before and after deployment.
  • Monitor and troubleshoot deployed AI applications, agents, integrations, and automations to maintain reliable performance.
  • Continuously improve solutions based on user feedback, performance data, changing business requirements, and advances in AI capabilities.
  • Establish appropriate testing and evaluation approaches to help ensure AI-generated outputs and automated actions perform as intended.
• AI Technology & Responsible Implementation
  • Explore emerging AI models, frameworks, APIs, agent technologies, and automation tools that could create value for Roundglass.
  • Evaluate technology options and recommend practical approaches based on business needs, technical feasibility, scalability, cost, and risk.
  • Partner with Engineering, Product, Data, Security, and Privacy teams to ensure AI solutions are scalable, secure, and responsibly designed.
  • Follow appropriate standards for data access, privacy, security, human oversight, and responsible use of AI.

Qualifications

• Bachelor's degree in computer science, Engineering, Information Technology, Data Science, or related technical field, or equivalent practical experience.
• 4–6 years of hands-on experience in software engineering, applied AI, automation, systems integration, data engineering, or a related technical role.
• Strong programming skills in Python and solid software engineering fundamentals.
• Experience building applications or services using REST APIs, databases, webhooks, authentication, and third-party integrations.
• Practical experience building with generative AI or LLMs beyond simply using consumer AI tools.
• Experience building automation workflows, internal tools, integrations, or applications that reduce manual work.
• Working knowledge of concepts such as RAG, AI agents, embeddings/vector search, prompt engineering, structured outputs, and tool/function calling.
• Experience with Git, testing, debugging, deployment, logging, and basic production monitoring.
• Experience building AI agents, RAG applications, intelligent search, copilots, or AI-powered applications.
• Experience with LLM APIs and frameworks such as OpenAI, Anthropic, Gemini, LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience with workflow and automation platforms such as n8n, Make, Zapier, Workato, Power Automate, or similar tools.
• Experience deploying applications or services on AWS, Azure, or another cloud platform.
• Experience deploying and operating AI applications in production environments using cloud platforms, version control, CI/CD, containers, and modern software engineering practices.
• Experience integrating enterprise platforms across functions such as Operations, HR, Recruiting, Marketing, Customer Support, Finance, or Product.

Pay

Anticipated salary / compensation: $90,000–$120,000 yearly.

Experience: 4-6 years