Bitovi

• Build durable systems. Design and implement Java services, Temporal workflows, and Kafka-based event pipelines, and help clients adopt durable execution and event streaming the right way — from first workflow to production scale. • Lead modernization efforts. Plan and execute large-scale modernization efforts — moving workflows, services, and data between platforms, clusters, and clouds — with safety, observability, and minimal disruption as first-class requirements. • Own the platform. Build and operate Kubernetes-native infrastructure and CI/CD on AWS so application teams can ship safely and quickly. • Treat reliability, observability, and repeatability as part of the deliverable, not an afterthought. • Consult with clients to build outcome-driven applications and platforms, guiding them through the process, identifying potential problems and unknowns, and tackling challenges. • Travel on average of 3–5 days every quarter, while most work is remote. • Teach and discuss opportunities for training, planning, and running meetups or local groups, and create various kinds of content in your expertise.

• You are the technical owner for the infrastructure and core components that run n8n and related AI workflow tools—environments, CI/CD, containers, runtime clusters, storage, secrets, networking, and integrations—ensuring they are resilient, scalable, and cost‑effective. • You embed security, privacy, and compliance into how AI workflows are built and run: hardened baselines, secret management, network and IAM boundaries, and CI/CD guards that prevent unsafe changes from reaching production. • You define and drive SLOs, metrics, logging, and alerting for the AI workflow platform, turning incidents into systematic improvements that reduce MTTR and change failure rates over time. • You create and enforce reusable patterns (templates, reference pipelines, IaC modules, guardrails) so teams building on n8n and other tools follow consistent, auditable practices instead of bespoke one‑offs. • You partner with architecture, security, and platform teams to align AI workflow infra with Avalara's Software Maturity Model and engineering governance, moving the platform and guiding teams to higher levels of maturity. • You elevate how teams build and operate automations by mentoring engineers, codifying best practices, and using AI tools yourself to materially improve speed, quality, and reliability of the AI workflow platform.

• Define and maintain enterprise architecture standards, reference patterns, and governance guardrails for AI-enabled solutions moving from pilot to production. • Establish decision models for build, buy, or integrate choices; model and vendor selection; data access; security; and responsible AI adoption. • Design scalable architecture patterns for AI-enabled workflows and agentic processes across data, APIs, identity, security, and cloud platforms. • Test new AI models, LLMs, agent frameworks, and tools to inform enterprise adoption. • Design proof-of-concepts, define success criteria, and guide solutions from pilot to production. • Lead architecture reviews and communicate trade-offs, risks, and growth to partners. • Partner with teams to translate needs into governed, implementation-ready solutions. • Ensure teams through demos, workshops, and reusable templates to support safe AI adoption.

• Translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation. • Collaborate with AI Automation Engineers to ensure initiatives are scalable and aligned to business outcomes. • Conduct requirement discovery and process analysis with stakeholders • Map and document current-state and future-state processes. • Create user stories, business rules, and acceptance criteria for AI-enabled solutions. • Participate in backlog grooming and sprint planning to maintain requirement clarity. • Support testing and UAT validation for AI-enabled workflows.

• Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms. • Design hybrid automation patterns using n8n, Boomi, application programming interfaces, event-driven systems, and artificial intelligence agents. • Build artificial intelligence-enabled workflows that support intelligent decisioning, human-in-the-loop controls, prompt management, and model integrations. • Define development standards, reusable templates, exception handling, retry strategies, approval patterns, and security protocols for enterprise automation. • Implement environment strategies, continuous integration and continuous delivery pipelines, versioning, and governance models for automation workflows. • Establish logging, monitoring, reliability guardrails, anomaly detection, and alerting to improve uptime, workflow trust, and recovery time. • Define responsible artificial intelligence governance for model selection, cost controls, prompt and version management, data privacy, and auditability. • Lead technical design sessions, workflow reviews, architecture reviews, and post-incident reviews. • Mentor engineers, contractors, and implementation teams on automation design, artificial intelligence agents, prompt engineering, and responsible automation practices. • Use metrics such as adoption, cycle-time reduction, service levels, recovery time, cost per workflow, and business impact to guide improvement.

• Own and help execute Avalara's enterprise AI automation and transformation strategy • Design and build scalable automation solutions that reduce manual work and improve business process efficiency • Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation • Architect API-first and event-driven integrations that connect enterprise systems • Establish platform standards for development, deployment, monitoring, and reliability across automation initiatives • Define and maintain CI/CD processes • Create reusable automation frameworks and AI agent accelerators • Implement observability, monitoring, alerting, and performance measurement practices • Lead technical design reviews, workflow assessments, and mentor engineers

• Work directly with clients embedding into their teams • Provide product design expertise as consultative recommendations and in execution • Consulting with clients looking to improve their design process • Building, evolving, consulting on and championing design systems • End-to-end product design including research, product strategy, and user testing • Interviewing, collaborating, and presenting as an embedded part of client teams • Working closely with product, developers, and other designers

PLEASE NOTE: Bitovi has been engaged by Very Big Things to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Very Big Things directly. JOIN THE VERY BIG THINGS TEAM! Very Big Things is an AI-native consulting and implementation partner. We help mid-market and enterprise clients modernize critical workflows using Gen-AI, automation, and cloud platforms. We operate with small, senior teams and ship production-ready systems fast—typically live in 8–12 weeks, secure and auditable. The Role We are looking for a Senior Full-Stack AI Engineer who can own delivery, not just execute tickets. This role is for someone who: - Can take ambiguous requirements and turn them into working systems - Is comfortable being the most senior engineer on a stream - Moves fast without sacrificing production quality - Has shipped real AI features—not demos You'll work closely with a VBT strategist and other senior engineers to design, build, and harden AI-enabled products for real clients. This is hands-on delivery work. No ivory-tower architecture. No babysitting juniors. You build, decide, and ship. What You'll Do - Own end-to-end delivery: Design and build full-stack features from UI to backend to deployment. - Ship real AI systems: Implement RAG, tool-calling, agent workflows, structured prompting, evals, and guardrails. - Move fast, responsibly: Prototype quickly, then harden for security, reliability, and cost control. - Use AI as a force multiplier: Work fluently with tools like Cursor, Claude Code, Windsurf, or Copilot to accelerate delivery while maintaining code quality. - Make technical calls: Choose patterns, trade-offs, and scope boundaries without waiting for permission. - Collaborate tightly: Work directly with strategists, clients, and other senior engineers to unblock progress. - Light DevOps ownership: Configure environments, CI/CD, secrets, and deployments (with support when complexity grows). What You'll Bring - 6+ years building production software across front-end and back-end. - Hands-on Gen-AI experience in real products (not just experiments). - Strong command of JavaScript/TypeScript. - Proven experience with modern stacks such as: - React/Next.js - Node.js (Nest, Express, or similar) - SQL databases (Postgres), caches, and vector stores. - Comfortable designing secure, production-grade systems: auth (RBAC), secrets, auditability, PII-aware data handling. - Cloud experience (AWS, GCP, Azure, or Vercel) and CI/CD fundamentals. - Clear communicator who can explain trade-offs to non-engineers. - Comfortable working embedded with a client team. Nice to Have - Experience in retail, hospitality, logistics, healthcare, or regulated environments. - Prior consulting or agency delivery experience. HOW TO APPLY: Please share a resume and LinkedIn profile and answer the additional questions. Yes, we read through all the answers! *Please note that we are not interested in working with recruiters. All job offers are contingent on passing a detailed background check.

PLEASE NOTE: Bitovi has been engaged by Very Big Things to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Very Big Things directly. JOIN THE VERY BIG THINGS TEAM! Very Big Things is an AI-native consulting and implementation partner. We help mid-market and enterprise clients modernize critical workflows using Gen-AI, automation, and cloud platforms. We operate with small, senior teams and ship production-ready systems fast—typically live in 8–12 weeks, secure and auditable. The Role We are looking for a Senior Full-Stack AI Engineer who can own delivery, not just execute tickets. This role is for someone who: - Can take ambiguous requirements and turn them into working systems - Is comfortable being the most senior engineer on a stream - Moves fast without sacrificing production quality - Has shipped real AI features—not demos You'll work closely with a VBT strategist and other senior engineers to design, build, and harden AI-enabled products for real clients. This is hands-on delivery work. No ivory-tower architecture. No babysitting juniors. You build, decide, and ship. What You'll Do - Own end-to-end delivery: Design and build full-stack features from UI to backend to deployment. - Ship real AI systems: Implement RAG, tool-calling, agent workflows, structured prompting, evals, and guardrails. - Move fast, responsibly: Prototype quickly, then harden for security, reliability, and cost control. - Use AI as a force multiplier: Work fluently with tools like Cursor, Claude Code, Windsurf, or Copilot to accelerate delivery while maintaining code quality. - Make technical calls: Choose patterns, trade-offs, and scope boundaries without waiting for permission. - Collaborate tightly: Work directly with strategists, clients, and other senior engineers to unblock progress. - Light DevOps ownership: Configure environments, CI/CD, secrets, and deployments (with support when complexity grows). What You'll Bring - 6+ years building production software across front-end and back-end. - Hands-on Gen-AI experience in real products (not just experiments). - Strong command of JavaScript/TypeScript. - Proven experience with modern stacks such as: - React/Next.js - Node.js (Nest, Express, or similar) - SQL databases (Postgres), caches, and vector stores. - Comfortable designing secure, production-grade systems: auth (RBAC), secrets, auditability, PII-aware data handling. - Cloud experience (AWS, GCP, Azure, or Vercel) and CI/CD fundamentals. - Clear communicator who can explain trade-offs to non-engineers. - Comfortable working embedded with a client team. Nice to Have - Experience in retail, hospitality, logistics, healthcare, or regulated environments. - Prior consulting or agency delivery experience. Additional Details to Note - Competitive pay based on location and experience - 100% remote HOW TO APPLY: Please share a resume and LinkedIn profile and answer the additional questions. Yes, we read through all the answers! *Please note that we are not interested in working with recruiters. All job offers are contingent on passing a detailed background check.

PLEASE NOTE: Bitovi has been engaged by Very Big Things to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Very Big Things directly. JOIN THE VERY BIG THINGS TEAM! Very Big Things is seeking an exceptional Lead AI Engineer to architect and build an internal workflow automation platform that will become a core customer offering. You'll work directly with the CEO and leadership team, operating more like a technical founder than a traditional employee. This is a rare opportunity for someone who thrives on autonomy, moves fast, and isn't afraid to break things in pursuit of progress — you'll build the platform foundation, then deploy into enterprise customer environments to rapidly implement solutions enhanced with AI. WHY THIS ROLE MATTERS This role demands strong ownership. You'll build the platform foundation, then deploy into customer organizations to understand their workflows and rapidly implement enterprise-grade solutions enhanced with AI. If you're someone who sees problems and solves them without waiting to be told, this role is for you. HOW YOU'LL CONTRIBUTE Foundation Phase: - Design and build the core architecture for an enterprise workflow automation platform - Make critical technical decisions about stack, architecture patterns, and implementation independently - Create robust APIs, integrations, and workflow engines adaptable to diverse enterprise needs Deployment Phase (Primary Focus): - Deploy virtually or on-site into customer organizations across the US - Conduct discovery sessions to understand workflows and requirements - Rapidly prototype and build custom solutions tailored to each enterprise - Iteratively integrate AI capabilities to enhance automation and drive value - Act as the technical face of the company during customer engagements Throughout: - Work autonomously with minimal oversight from CEO and leadership - Make architectural decisions and push back constructively when needed - Move fast, ship quickly, and iterate — success comes through iteration, not upfront planning WHO YOU ARE We are looking for a candidate with the following attributes: - Builder mentality — you see problems and solve them without waiting to be told - Thrives on autonomy with minimal oversight - As strong with people as you are with code — clear communicator who navigates ambiguity - Proven leadership experience guiding senior engineers and establishing patterns - Curious, proactive learner who takes ownership - Comfortable being the technical face of the company in client engagements Required experience: - 7+ years building production software across front-end and back-end, with a history of shipping complex systems - 2+ years building with Generative AI in real products - Expert with TypeScript/JavaScript and modern stacks (e.g., Next.js/React, Node/Nest/Express) - Comfortable across data layers (Postgres/SQL, caches, vector stores) - LLM-assisted development expertise — materially increased velocity and quality using tools like Cursor, Claude Code, Windsurf, or Copilot, with the ability to design prompts, break down problems, enforce tests, and review AI output safely - Solid grasp of security and compliance (authN/Z, RBAC/ABAC, audit, data residency, secrets, PII handling) - Familiarity with cloud + DevOps (Vercel/AWS/GCP/Azure), CI/CD, IaC (Terraform/Pulumi), and monitoring/observability - Strong client-facing communication and leadership skills Other skills we value: - Domain experience in retail, hospitality, logistics, or healthcare/life sciences - Experience setting expectations and leading teams through technical challenges PERKS & BENEFITS - Competitive compensation with performance upside - Comprehensive benefits - Remote work - PTO - Final package depends on experience and location HOW TO APPLY: Please share a resume and LinkedIn profile and answer the additional questions. Yes, we read through all the answers! *Please note that we are not interested in working with recruiters. All job offers are contingent on passing a detailed background check.