We're seeking a skilled Full Stack Developer to join our team. You'll debug and resolve errors within our applications, support improvements, troubleshoot issues, and integrate our apps with our CRM system. Just as important: you'll help keep our GHL-based AI agent and voice AI systems running smoothly for live clients. Read the whole post before applying. We've written it to be direct on purpose. If any of it doesn't sound like you, that's okay , please self-select out. We'd rather know now. What we're looking for We need a contributor, not just a doer. That means someone who takes initiative, spots issues before they become problems for the client, and drives toward solutions instead of waiting to be told what to do next. If you're the type who finds the answer rather than asking us for it, you'll do well here. If you need your hand held on every step, this isn't the right fit. We work with live clients on voice AI and AI agents, so being proactive and responsive is not optional. When something breaks or drifts, we need you evaluating, fixing, and improving it, thinking forward about the end-user experience, not just reacting after a client complains. Responsibilities • Debug and provide solutions for errors in web and mobile applications.. • Support ongoing improvements and optimizations.. • Troubleshoot technical issues efficiently, ideally before they reach the client.. • Integrate applications with our CRM system (GoHighLevel / GHL) for seamless functionality.. • Connect systems and third-party services via APIs to enhance platform capabilities.. • Support, adjust, and maintain GHL AI agents and voice AI workflows so they perform reliably for clients.. Requirements • Proven experience as a Full Stack Developer.. • Strong proficiency in front-end and back-end technologies (e.g., JavaScript, React, Node.js, Python, etc.).. • Experience with GHL CRM integrations.. • Working knowledge of and comfort with GHL AI agents and automations — you don't need to be a specialist, but you should be able to get in, understand how they're built, make adjustments, and pick things up quickly.. • Familiarity with or genuine willingness to dig into voice AI. We expect everyone on the team to be able to work with it.. • Proficiency in designing and implementing REST-based API connections.. • Excellent problem-solving and debugging skills.. • Ability to work independently, take initiative, and meet deadlines.. How we work • We're engaging you — not your agency. The person we hire is the person doing the work. If you subcontract or hand work to others, this isn't a fit.. • Short leash, high trust. Everyone starts on a trial basis. We give people room to learn, but you'll need to learn fast, dive in, and prove it quickly. If you're trying to learn the fundamentals on the job, this role isn't for you.. • Own your outcomes. Bring the thinking, not just the hands. Recognize what the end user's experience will be and drive it.. If that sounds like the environment you want, we'd love to hear from you.

I am seeking a highly analytical AI Prompt Engineer & Knowledge Strategist to enhance our AI system's understanding of education civil rights. The role involves crafting precise prompts and developing knowledge strategies to ensure the AI's accuracy and relevance. An NDA is required due to the sensitive nature of the topic. The ideal candidate will have a strong background in AI engineering and a keen interest in education and civil rights.

We are a growing construction law firm seeking an experienced AI strategist and solutions architect to advise our AI Council and help us identify, prioritize, and build practical AI solutions that improve productivity, reduce administrative burden, and enhance legal workflows. This is not a purely advisory role and it is not a traditional developer position. We are looking for someone who can help us evaluate opportunities, recommend technology solutions, perform build-versus-buy analyses, and then assist in building approved AI agents, workflows, and automations. Our initial focus is internal productivity and workflow improvement rather than client-facing applications. ABOUT US: We are a boutique construction law firm with attorneys and staff across multiple states. We have an active AI Council and are committed to thoughtful, practical adoption of generative AI. Current technology stack includes: * Microsoft 365 Copilot * Microsoft Teams * SharePoint * NetDocuments * Centerbase * Lexis Protégé Available: * Microsoft Power Platform * Power Automate * Copilot Studio * Power BI WHAT WE NEED: We are seeking a long-term advisor who can serve both in an advisory and developmental role: Strategic Advisory * Evaluate AI use cases submitted by our AI Council * Recommend practical implementation approaches * Perform build-versus-buy analyses * Evaluate AI vendors and emerging technologies * Advise on legal-industry AI trends and best practices * Help establish governance and implementation standards Solution Design & Development * Design AI agents and workflow automations * Build approved solutions within the Microsoft ecosystem * Create proof-of-concepts and pilot programs * Integrate solutions with existing firm systems where appropriate * Assist with testing, refinement, and deployment Initial Project Focus: Our first major initiative will likely involve evaluating whether we can replace or replicate portions of commercial contract review software through an internally developed solution. We are particularly interested in exploring: * Contract review workflows * Clause analysis * Risk identification * Contract summaries * Knowledge management integration IDEAL QUALIFICATIONS * Experience working with law firms, legal departments, or legal technology companies * Experience implementing generative AI solutions in professional services environments * Deep understanding of Microsoft Copilot ecosystem * Experience with Copilot Studio, Power Platform, and workflow automation * Ability to communicate effectively with attorneys and non-technical stakeholders REQUIRED * Experience designing and implementing AI agents or workflow automations * Ability to evaluate business requirements and recommend appropriate solutions * Strong understanding of current generative AI tools and trends * Ability to translate strategy into practical implementation Please provide a cover letter with your qualifications and answers to the following questions: 1. Describe a law firm or legal department AI project you personally led. 2. What is your experience with Microsoft Copilot, Copilot Studio, Power Platform, and Power Automate? 3. Describe a build-versus-buy recommendation you made and the factors considered. 4. If asked to replicate a significant portion of a contract review platform internally, how would you approach the project? 5. How do you measure ROI and success for AI implementations? We are looking for a practical advisor and builder who can help us make sound decisions, avoid unnecessary spending, and implement solutions that deliver measurable value.

We're a 30-year, family-owned home improvement company in Michigan. We run a modern but disconnected software stack and we're looking for a developer to connect the pieces, automate manual work, and build reporting that actually gets used. This is project-based contract work to start, with steady ongoing work for the right person. Not a full-time role. What you'd be working on: Our tools don't talk to each other and too much still runs on manual data entry and spreadsheets. We want someone who can look at a workflow, find the bottleneck, and build the fix. Examples of projects on our list: Replace an antiquated Google Sheets scheduling system with something modern and connected Build and maintain integrations between our core tools (CRM, call tracking, phone, accounting) Build BI and reporting dashboards that pull from multiple sources into one clear view Automate manual data entry, lead routing, and reporting tasks Set up AI-assisted tooling where it makes sense (call summaries, automated reporting, data cleanup) Our stack: JobNimbus (CRM, system of record) CallRail (call tracking, ~50 numbers) RingCentral (phone) Rilla (sales conversation analysis) QuickBooks (accounting) Google Ads and Facebook Ads Google Sheets / Google Workspace You should have: Strong experience with API integrations and connecting SaaS tools (Zapier/Make is fine for some of it, but we want someone who can write custom code when the no-code tools fall short) Experience building reporting dashboards or BI tools Comfort with one or more CRM platforms (JobNimbus experience is a big plus) Ability to scope a problem, propose a solution, and ship it without heavy hand-holding Clear written communication and the ability to explain technical work to non-technical people Nice to have: Experience with JobNimbus, CallRail, RingCentral, or QuickBooks specifically Experience building AI-assisted workflows (LLM-based summaries, data extraction, etc.) Experience in home services, construction, or contracting businesses

We’re seeking a talented AI Narrative Prompt Designer to design the intelligence behind Guroute’s storytelling engine. This is not a traditional prompt design role, as it involves creating a dynamic narrative system that can adapt to user interactions. The ideal candidate will have experience in AI and narrative design, with a strong understanding of storytelling principles and AI technologies. This candidate should have in-depth knowledge of how to write prompts to get the best outcome for the task.

Deliverable Requested from Developer Build a Google Workspace solution that: 1. Monitors incoming emails in slab-sewer@, rough@, and trim@ 2. Uses AI (Gemini, OpenAI, or similar) to classify severity and category 3. Automatically applies Gmail labels 4. Marks RED items as important 5. Runs automatically every few minutes 6. Requires no action from Project Coordinators Success Metric: A Project Coordinator can open their inbox and instantly identify which emails require immediate action versus which can wait until later in the day, without manually reading and sorting every message.

We're hiring a senior AI developer to build and deploy AI solutions for a fintech/credit-union platform. The work spans autonomous banking agents, fraud detection, credit scoring, and bill-pay/invoice automation — at the intersection of LLMs, cloud infrastructure, and financial-domain expertise, with security and compliance built in from the start. This is a long-term, ongoing engagement. What you'll do: AI agents & orchestration - Design, build, and deploy multi-agent systems using Amazon Bedrock Agents, LangChain, and related frameworks - Architect agentic workflows for core banking use cases: credit scoring, fraud detection, bill-pay automation, invoice management - Define agent personas, memory strategies, tool-use patterns, and escalation paths for production banking agents LLM engineering - Fine-tune, prompt-engineer, and evaluate LLMs for financial-domain tasks - Build RAG pipelines over credit-union knowledge bases, policy docs, and member data - Implement guardrails, content filtering, and compliance checks for safe, regulated outputs - Monitor performance, hallucination rates, and latency against SLAs Cloud infrastructure (AWS & Azure) - Architect and manage AI/ML workloads on AWS (Bedrock, SageMaker, Lambda, S3, IAM, VPC) and Azure (OpenAI Service, Azure ML, AKS) - Design secure, cost-optimized environments compliant with NCUA, PCI-DSS, and SOC 2 - Implement infrastructure-as-code with Terraform or AWS CDK DevOps & MLOps - Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, CodePipeline, Azure DevOps) - Containerize services with Docker, orchestrate with Kubernetes (EKS/AKS) - Apply MLOps best practices: model versioning, A/B testing, canary deployments, automated rollback - Stand up observability with logging, tracing, and alerting Python development - Write clean, well-tested Python for AI pipelines, REST APIs, and data workflows - Build FastAPI/Flask microservices exposing agent capabilities to frontend and core banking systems - Integrate with financial data sources, core banking APIs, and third-party fintech services Banking applications - Build credit-scoring models using alternative data and explainable AI (XAI) - Develop real-time fraud detection with behavioral analytics, anomaly detection, and auto-decisioning - Create conversational agents for bill pay, account management, and member self-service - Automate invoice workflows: extraction, classification, approval routing, reconciliation - Partner with compliance/risk to keep AI decisions auditable, fair, and regulatory-compliant What you should have: - 5+ years software engineering; 3+ years in AI/ML or LLM engineering - 2+ years building AI for banking, credit unions, or financial services - Hands-on experience with Amazon Bedrock, LangChain, Python, AWS, and infrastructure-as-code - Working knowledge of NCUA, PCI-DSS, SOC 2, GLBA, and Fair Lending requirements - Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field Nice to have: - AWS or Azure AI/ML certifications - Open-source LLM experience (Llama, Mistral, Phi) and self-hosted inference (vLLM, Ollama) - Vector databases (Pinecone, OpenSearch, pgvector) - Graph-based fraud networks and graph ML - AI governance / responsible AI framework experience - Prior work at a credit union, community bank, or fintech lending platform To apply, please share: - Your resume highlighting AI and banking project experience - A brief note on your most impactful AI agent or LLM project in a financial-services context - Links to GitHub, portfolio, or published papers (optional but encouraged)

We are hiring an AI Engineer with strong hands-on experience building and shipping real AI products. Requirement: If you don't have a GitHub profile to share, this role is not a fit. What we’re looking for: • Strong experience in AI/ML engineering • Ability to build, test, and deploy production-ready AI systems • Practical experience working on real-world AI projects To apply: Please share your portfolio, past AI projects, and relevant work samples. Applicants without portfolio will be ignored.

We are seeking a skilled freelancer to develop a Tavus AI agent capable of interviewing people and recording conversations directly to cloud storage. The ideal candidate will have experience in AI development and cloud integration, ensuring seamless and secure data storage.

We are looking for an AI Consultant who can help train our team on how to use Claude effectively for project management, task organization, workflows, and productivity. Responsibilities include: • Training the team on how to use Claude for daily tasks • Helping create project management workflows using AI • Teaching the team how to organize projects, tasks, follow-ups, and SOPs • Showing us how to use Claude to save time and improve communication • Helping build simple systems the team can actually follow • Supporting leadership with AI tools for better delegation and accountability Requirements: • Strong experience using Claude and AI tools • Experience with project management systems and workflows • Ability to train a team clearly and patiently • Very organized and process-driven • Must be able to simplify AI so the team can use it daily • Experience with Asana, Slack, or similar tools is a plus We are looking for someone who can help us implement AI into our operations and train the team from A to Z.