• Design and implement the agentic AI architecture for both ICS internal operations and Intras AI's client-facing offerings — agent frameworks, orchestration layers, tool integrations, and deployment pipelines • Build, train, and deploy AI agents that automate internal operations including project delivery, documentation generation, client onboarding, alerting, and service desk triage • Develop AI-powered service offerings and productized solutions under the Intras AI brand, including AI Readiness Assessments and intelligent automation engagements • Establish governance, monitoring, and continuous improvement frameworks for deployed agents • Collaborate directly with the CEO and engineering team to align AI development with the company's 10X growth roadmap • Evaluate and integrate emerging AI platforms, LLMs, and automation tools into the company's technology stack • Create repeatable agent deployment patterns that can scale across client engagements and eventually stand alone as Intras AI products • Define KPIs and measure the business impact of deployed AI systems — cost savings, time reduction, revenue enablement • Help build the business case and operational foundation for Intras AI to operate as a standalone entity as the practice matures

If you’re excited about: - Building real-world AI workflows and automation systems - Working with modern AI tools and agent frameworks - Contributing to production systems from day one - Gaining experience across both AI and application development …we’d love to hear from you. Core Functional Areas The role of AI Automation Engineer I will focus on building and maintaining systems that support: AI Automation - Implementing workflows that use LLMs or agentic frameworks - Integrating APIs and external services into automated processes - Handling structured inputs and outputs - Debugging and improving reliability of automated AI-driven tasks - Experience evaluating LLM quality and reliability over time - Familiarity with structured outputs, schema validation, and prompt/context management - Experience with logging, tracing, and safeguards for agentic systems - Familiarity with MCP, tool-connected workflows, or multi-step context management Browser Automation - Building automation workflows using tools such as: - Playwright - Puppeteer - Browseruse - or similar browser automation frameworks - Automating multi-step web interactions and data collection workflows - Handling dynamic web content and failure scenarios CI/CD and Deployment Awareness Candidates should have basic familiarity with: - CI/CD pipelines and automated testing workflows - Git-based development processes - Deploying or supporting applications in a cloud environment Our environment uses: - Azure DevOps for CI/CD - AWS for application hosting and infrastructure

WHO YOU ARE AI Assisted Developer Consultant You’re an experienced full-stack developer looking for engaging, enjoyable work. You’d love to level up your skills working in different environments and get excited about seeing your projects in the real world. You like problem-solving and having a team with whom you can brainstorm simple solutions to complex problems. You want the freedom to work where you want, when you want, and with the projects you enjoy most. In your career so far, you’ve established: - 5+ years of professional experience developing rich web and/or mobile applications - Expertise with JS-based applications, and can move fluidly between frontend, backend, and different frameworks - A solid background in Modern Fullstack Development, component architecture, JS frameworks, metaframeworks, security, databases, and interfaces. - Experience in at least one backend development language like JS, Java, C++, or Python - Experience with state management patterns and libraries - Experience with deploying applications and understanding of infrastructure best practices - Experience with CI/CD pipelines - Strong communication and interpersonal skills - Strong experience with AI development tools and AI-assisted development - A solid understanding of Computer Science (CS degree or equivalent knowledge) If that sounds like you, read on. We’ve got a place for you at Bitovi. WHO WE ARE Bitovi helps companies create better software and applications. We’re driven by the desire to provide value - to our clients, the technology community, and our incredible team. Every day, we design and build a wide variety of high-profile applications. We discuss and design architectures, review code, and research new front-end technologies. We talk to our clients directly, guiding them through the process, identifying potential problems and unknowns, and tackling challenges. We help one another freely. We keep a Slack channel called ask-help, which is constantly used. We develop new skills, build better developer tools, and work on new types of projects regularly—and we take the time to present at conferences, give training, and run meetups. We’re huge open source devotees, and our developer community is second to none. Our fully remote team consists of about 80 members located in the US, Canada, and other International locations. We welcome diversity and non-traditional paths into the developer profession—we want the right person, not the right collection of tech keywords. You can learn more about us with this short read: Hello Potential Bitovian. WHAT YOU’LL DO AT BITOVI You’ll get to work on interesting projects in a culture that values quality over quantity and collaboration over cowboy coding. You’ll have time each week for a one-on-one with your team lead, daily standups, and weekly scrum-based meetings, and time to work on presentations, articles, or other passion projects. The bulk of your day will be spent on development for clients, and projects you might work on include: - Leverage AI for feature development for software applications - Build Design System and Web Component libraries - Architect frontend components, routing, and state management - Architect and implement secure service layers and database architecture - Establish AI coding best practices - Swiftly build proof of concepts - Implement AI Tooling architecture in projects - Orchestrate microservices with tools like Temporal - Build AI automations with tools like n8n - Perform Codebase Audits & Resolving Performance Issues - Understand and implement deployment and infrastructure best practices - Coach client developers on industry best practices Consult. You’ll meet with clients regularly to learn about their needs and update them on the progress of their projects. Travel. Our development team travels to meet with our clients and internal teams in person. Travel can range from 1-2 times per year to 3-5 days every 3-4 months, and we’ll always be working with your schedule. Teach. You’ll have protected time off consulting to participate in internal team meetings, give and attend trainings, speak at conferences and meetups, create and maintain open source projects, and create various kinds of content in your area of expertise, with Bitovi’s full support. We currently provide 4 hours a month of dedicated AI enablement training and research. You’ll fit in well at Bitovi if you are: - Interested in development best practices, from writing quality code to advocating for process improvement - Passionate about learning new skills, keeping up to date with development trends, and testing new ideas - Always on time and excel at calendar management - Able to communicate well and problem-solve with empathy at the forefront - Confident in working with clients and stakeholders directly - Effective at managing a development workload across tickets and key milestones and calling out blockers - Comfortable asking questions about things you don’t know - Experienced in contributing to or using open source projects - Able to assess, explain, and effectively advocate for different technical approaches - Flexible enough to work well autonomously or as part of a larger team

• Design and implement custom LLM solutions using frameworks like LangChain • Develop robust architectures for AI applications, considering scalability, latency, and cost optimization • Create and optimize prompting strategies for different use cases • Build and maintain AI pipelines, including data processing, model deployment, and monitoring systems • Optimize LLM usage for cost and performance