Bellementis PLLC is seeking a contract legal automation specialist to help design and implement practical automation workflows for a fast-growing boutique law firm. The ideal candidate has experience with law firm operations, document automation, AI tools, workflow design, and systems such as Microsoft 365, Clio, NetDocuments, Gavel, Zapier, Notion, or similar platforms. Responsibilities may include: Automating client intake, engagement letters, matter opening, task tracking, billing workflows, and document generation Building reusable templates, checklists, and workflows Helping integrate AI tools into legal and administrative processes Improving knowledge management and internal firm operations Working with lawyers, operations, and technical team members to turn manual processes into scalable systems This is a contract role. Prior experience with legal tech, law firm operations, document automation, or AI-enabled workflow design is strongly preferred.

AI SYSTEMS ENGINEER Agentic AI, Multi-Agent Systems & Secure AI Workflows (U.S.) Remote • United States We're building production AI systems designed for enterprise environments. We're looking for exceptional AI systems engineers who enjoy solving difficult systems problems – not just writing code. Our work sits at the intersection of agentic AI, software architecture, enterprise systems, governance, security, and operational intelligence. We design AI systems that improve how organizations operate while meeting the standards required for production deployment. We value engineers who think in systems, challenge assumptions, and care deeply about building technology that is reliable, understandable, secure, and useful. If you're motivated by difficult engineering problems, thoughtful architecture, and building production AI systems for enterprise organizations, we'd like to hear from you. WHAT YOU'LL HELP BUILD Examples of the types of systems we design include: - Multi-agent AI systems - Enterprise AI assistants - Secure AI workflows - Enterprise workflow automation - AI-powered knowledge systems - Human-in-the-loop decision support - Document intelligence - Retrieval-Augmented Generation (RAG) - AI memory and retrieval systems - AI evaluation and testing frameworks - Secure enterprise AI platforms - AI governance capabilities - Operational intelligence platforms TECHNICAL EXPERIENCE WE VALUE We're interested in engineers with experience in some combination of: - Python - AI Agent Development - LangGraph - LangChain - Large Language Models - API Development - Vector Databases - Software Architecture - Enterprise Systems Integration - Information Security Experience with OpenAI, Anthropic, Model Context Protocol (MCP), cloud infrastructure, workflow orchestration, observability, distributed systems, or regulated technology environments is also valuable. We do not expect expertise in every technology. We care far more about engineering judgment, systems thinking, demonstrated execution, and continuous learning than checking every technology box. THE PROBLEMS WE ENJOY SOLVING The engineers who thrive here enjoy questions like: - How should multiple AI agents coordinate work? - How should humans remain in control of important decisions? - How should production AI systems scale safely? - How should memory be designed for enterprise AI? - How should AI systems balance operational performance with governance, security, and reliability? - How should AI systems create measurable business value? If those questions excite you, you'll probably enjoy working with us. WHAT MAKES SOMEONE SUCCESSFUL HERE We're looking for engineers who: - Think in systems rather than individual features. - Care deeply about production quality. - Enjoy solving ambiguous technical problems. - Communicate complex ideas clearly. - Balance speed with sound engineering judgment. - Build practical solutions rather than chasing hype. - Continuously learn, experiment, and improve. We're significantly more interested in systems you've built than technologies you've used. Please provide specific examples that demonstrate your role, engineering decisions, and measurable outcomes. We recognize that many engineers use AI as part of their workflow. You're welcome to do the same. However, your application should accurately reflect your own experience, judgment, and technical thinking. We respect the confidentiality of your current and former employers, clients, and partners. Please do not include proprietary or confidential information in your application. Describe your work at a level that demonstrates your engineering approach without disclosing protected information. PROFESSIONAL STANDARDS We value integrity, sound engineering judgment, and respect for intellectual property. Please do not include confidential, proprietary, export-controlled, or other non-public information belonging to your current or former employers, clients, or partners in your application or work samples. We're interested in your engineering approach, architectural thinking, and problem-solving methodology – not protected information belonging to others. If you share code, architecture diagrams, technical documentation, or project examples, please ensure you have the legal right to do so and identify any material open-source or third-party technologies where appropriate. By submitting application materials, you represent that you have the legal right to share them and that doing so does not violate any confidentiality, intellectual property, employment, consulting, or other contractual obligations. Any engagement, if offered, will be subject to a separate written agreement covering confidentiality, intellectual property ownership, compensation, and other applicable terms. Submission of an application or participation in the evaluation process does not create any employment, independent contractor, partnership, joint venture, agency, fiduciary, or other business relationship with 26ers AI, nor does it obligate either party to enter into any future engagement. 26ers AI reserves the right to evaluate applications, discontinue discussions, modify the hiring process, or decline to pursue any engagement at its discretion. Nothing in this posting should be construed as an offer of employment or an offer to contract.

AI Engineer (RAG & Agentic Workflows). *LLM RESPONSES AUTOMATICALLY AVOIDED* We have already launched a production generative AI product that utilizes a custom Retrieval-Augmented Generation (RAG) architecture. We are now expanding the platform to include CRM intelligence, workflow automation, and agentic AI capabilities. This is **not** a prompt engineering role. Seeking an engineer with deep experience building and deploying production AI systems that combine LLMs with multiple structured and unstructured data sources. You should be comfortable walking into an existing, complex codebase, understanding the current architecture, and improving it. Existing AI Architecture Our current AI architecture consists of: * OpenAI embeddings * Embeddings stored in MongoDB * MongoDB Atlas Vector Search for retrieval * Retrieval from both structured SQL data and unstructured document collections * Existing tool/function-calling architecture **Please do not apply if you have not previously built or maintained production RAG systems using embeddings and vector search.** Experience specifically with **OpenAI embeddings and MongoDB Atlas Vector Search** is highly preferred. CRM Intelligence Layer We are currently building a CRM platform and need the AI to reason over CRM records, including the other records are RAG currently retrieves. You will be responsible for designing and implementing the AI integration layer that enables the LLM to intelligently retrieve and reason over CRM data. This work includes: * Designing AI tools/functions that expose CRM data to the LLM. * Implementing backend tool handlers that retrieve CRM records. * Defining tool schemas and instructions so the AI knows when and how to retrieve CRM information. * Building secure retrieval mechanisms that enforce strict user and organization-level access controls. * Transforming raw CRM records into structured, AI-ready context. The AI will need to reason across: * CRM contacts and organizations * client profiles * Deals and opportunities * Projects * Tasks and reminders * Notes * Email history * SMS and WhatsApp communications * Call transcripts * Meeting summaries * Documents and contracts * Workflow history Agentic AI & Workflow Automation * Build proactive AI agents that generate alerts, recommendations, follow-ups, reports, and suggested next actions. * Design systems capable of reasoning across both structured and unstructured data sources. * Architect and implement multi-step and multi-agent workflows. * Develop workflow intelligence that assists users in completing real-world business tasks. Required Experience * Demonstrated experience building and deploying production AI systems used by real customers. * Experience working with embeddings, vector databases, and retrieval pipelines. * Experience implementing LLM tool/function-calling architectures. * Experience integrating AI systems with business systems such as CRMs, ERPs, or other operational databases. * Experience combining structured and unstructured data within AI applications. * Strong backend engineering and systems architecture experience. * Demonstrated ability to quickly understand and improve existing codebases. * Ability to independently own and deliver complex technical initiatives. Strongly Preferred * Experience with OpenAI embeddings. * Experience with MongoDB Atlas Vector Search. * Experience building agentic AI systems and workflow automation. * Experience designing long-term memory architectures. * Experience building multi-tenant SaaS applications with strict authorization requirements. * Experience implementing evaluation and monitoring pipelines for production AI systems. What We Value * High accountability and ownership. * Strong communication skills. * Product thinking and user empathy. * Ability to understand user workflows before writing code. * Pragmatism and sound engineering judgment. PLEASE DO NOT WASTE OUR TIME IF YOU NOT MEET THE REQUIREMENTS 

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 are seeking an experienced Workflow Automation Specialist to design and implement a scalable email automation system that streamlines the processing of inbound requests and outbound communications for Data Subject Rights Requests. Our team currently handles a moderate-to-high volume of incoming emails from multiple sources. Much of the workflow involves repetitive administrative tasks, including reviewing emails, extracting key information, manually logging data, and sending standardized responses. We are looking for a consultant/developer who can evaluate our existing process (combination of GMail & Monday.com), recommend the best tech to use, and build a solution that significantly reduces manual effort while maintaining accuracy, visibility, and auditability (this is key!). Full job & project details in the attached PDF

We are seeking a Hubspot expert to assist in rebuilding our current Hubspot instance and configuring it to support multiple AI enrichment and outreach tools, calendar integration, and marketing pipeline. The ideal candidate will have experience with Hubspot (Marketing Automation Workflows, Saleshub, and Operationshub), Google Workspace, Zapier, 6Sense ABM, and AI tools. This person should have 5 hours available each of the first two weeks of July and 24 hours available on the third week of July.

We are seeking an experienced AI workflow / operations consultant to help us build repeatable “business of the future” blueprints for niche service industries. We are not building a new AI product. We want help identifying the best existing tools, workflows, and automation opportunities to modernize service businesses in a practical, scalable way. We want someone who can help us: map current workflows identify the best opportunities for AI and automation recommend the right tool stack define what should stay human vs. what should be automated create standardized implementation blueprints we can deploy across multiple clients We are looking for someone with real operational depth, not just generic AI enthusiasm. Bonus if you have worked in: healthcare legal compliance-sensitive service businesses CRM / automation / intake / communication systems Please send examples of similar work and explain how you would approach building a scalable modernization blueprint for these kinds of businesses.

We are an outsourced accounting and tax firm serving small businesses. We handle bookkeeping, accounts payable, expense management, financial reporting, and tax preparation. We're at a point where we want to seriously rethink how we work — not just add AI tools on top of old processes, but redesign our workflows from the ground up to take advantage of what AI can actually do. We're looking for a contractor who has done this before — someone who understands accounting and tax workflows deeply and also has hands-on experience implementing AI tools in professional services or finance environments. What you'll do: • Map our current accounting and tax workflows end-to-end • Identify where AI can replace, assist, or accelerate steps • Research and evaluate tools that fit our stack (we use QBO, and are open to others) • Work alongside our team to build and document the new workflows — not just hand us a deck • Help us implement and iterate until the workflows are actually running Who we're looking for: • Strong background in accounting, tax, or working closely with firms that do this work • Real experience deploying AI tools in a professional services or finance context — not just theoretical • Familiarity with tools like AI document processing, workflow automation, or AI-assisted review • Someone who can roll up their sleeves and build alongside us, not just consult from a distance This is a part-time engagement to start. If it goes well, there's room to expand the scope. We are serious about this — we want to move from buying tools to actually redesigning how we operate, and we need someone who has done it. In your application, please tell us: what accounting or tax workflows have you redesigned with AI, what tools were involved, and what the before/after looked like. Specifics matter more than credentials here.

Looking for an elite problem solver, either an ex-MBB consultant with deep technical fluency or a seasoned AI Product Manager, to act as the crucial bridge between business operations and technical AI implementation. You will be responsible for dissecting client operations, prototyping the AI logic, writing flawless engineering briefs, and driving the development team to the finish line. What You Will Do: Workflow Audits & Discovery: Lead deep-dive discovery sessions. Map out existing operational workflows, identify bottlenecks, and pinpoint high-ROI opportunities for AI automation. Prototyping & Technical Translation: Because you are an AI power user, you will prototype the initial AI prompts and logic. You will then translate your operational findings into crystal-clear engineering briefs (or PRDs) so developers know exactly what to build. Development Management: Act as the project lead during execution. Manage the engineering workstream, clear roadblocks, and ensure the final solution is delivered on time, within budget, and achieves the strategic goal. Stakeholder Alignment: Act as the primary liaison between non-technical business leaders and the technical development team. Requirements & Qualifications: Top-Tier Pedigree: 1+ years of experience at a top management consulting firm (MBB, Big 4, Tier 2) OR proven experience as a Technical/AI Product Manager. Advanced AI Fluency: You are an AI power user. You possess advanced prompt engineering skills (e.g., chain-of-thought, few-shot) and know how to force LLMs to output reliable, structured data. Elite Structured Thinking: You excel at turning highly ambiguous, messy business processes into clean, logical frameworks (using Lucidchart, Miro, etc.) and comprehensive technical requirements. Project Leadership: Proven track record of managing technical resources, tracking deliverables, managing budgets, and driving teams to a deadline.

We are seeking an experienced Automation & Integration Engineer to modernize and automate our CPA firm's operations. This role will be responsible for designing, building, and maintaining AI-driven workflows and integrations centered around CCH Axcess, Additive K-1, Microsoft 365, and other business systems. The ideal candidate combines software development, API integration, workflow automation, and AI implementation experience with deep knowledge of tax and accounting technology. This is a hands-on technical position. You will build production-grade automations, not just configure software. Responsibilities Design and develop integrations between CCH Axcess, Additive K-1, CRM, document management systems, and internal databases. Build AI-powered workflows to automate tax preparation, review, document processing, and client communication. Develop API integrations using the CCH Axcess Open Integration Platform. Automate repetitive tax workflows using APIs, webhooks, scripting, and workflow platforms. Create secure data synchronization between business applications. Build custom internal applications that improve CPA productivity. Implement OCR and AI document extraction for tax source documents. Build dashboards and reporting from tax software data. Create automation monitoring, logging, and alerting. Document all integrations and maintain technical architecture. Work directly with tax professionals to identify automation opportunities. Evaluate emerging AI tools and recommend practical implementations. Required Experience 5+ years building software integrations or business automations. Strong experience with: CCH Axcess CCH Axcess APIs REST APIs OAuth Webhooks JSON/XML Experience integrating accounting or tax software. Experience with AI APIs such as: OpenAI Anthropic Google Gemini Azure OpenAI Experience with automation platforms such as: n8n Power Automate Make Zapier Strong programming skills in one or more: Python C# JavaScript/TypeScript SQL database experience. Microsoft 365 integration experience. Git version control. Cloud experience (Azure or AWS). Preferred Qualifications Additive K-1 experience. CCH API development. CPA firm experience. Tax workflow automation. OCR and intelligent document processing. Experience with AI agents. Experience with document management systems. Power BI. SharePoint. Azure Functions or AWS Lambda. Docker. Technical Skills API Development REST OAuth JSON XML Python JavaScript SQL AI Integration Prompt Engineering Workflow Automation Microsoft Graph API SharePoint APIs Microsoft 365 Administration OCR RAG LLM Integration Git CI/CD What You'll Build Examples include: Automated K-1 ingestion into CCH. AI document classification and extraction. Tax return workflow automation. Client onboarding automation. Automated tax organizer processing. AI review assistants. Internal tax knowledge search. Automated email and task generation. Client portal integrations. Document routing. Workflow dashboards. Exception monitoring and alerts. Success Metrics Within the first 6–12 months, you will: Eliminate hundreds of hours of manual tax processing. Reduce duplicate data entry across systems. Build production-ready AI workflows. Create reusable integration frameworks. Improve tax workflow visibility through reporting and dashboards. Establish a scalable automation architecture for future growth. Nice-to-Have Certifications Microsoft Azure AI Engineer Microsoft Power Platform Developer AWS Developer Python certifications AI/LLM application development CPA technology consulting experience Ideal Background Candidates who have worked at firms or software vendors using: CCH Axcess Additive K-1 Thomson Reuters products Intuit products Wolters Kluwer tax software Tax technology consulting firms CPA firms with 100+ employees Tax automation consultancies