I need help completing this project today. The project sits between data engineering and AI. I have source data that needs to be cleaned, structured, and prepared so it can support both analytics and RAG-style AI workflows. The goal is to create a reliable pipeline that takes raw data, normalizes it, preserves basic metadata/lineage, and outputs clean datasets that can be used for dashboards, vector indexing, or internal AI tools. The work may include: - Reviewing the current source data and structure - Cleaning and normalizing datasets - Designing or improving an ETL/ELT flow - Preparing AI-ready data for RAG or vector search - Adding basic validation checks - Organizing outputs for analytics use - Documenting the final workflow clearly Ideal freelancer has experience with: - Python and SQL - Data engineering / ETL pipelines - Databricks, Spark, or similar tools - RAG data preparation - Data cleaning, validation, and modeling - Cloud data storage such as S3, Postgres, or similar This is urgent and must be completed today. Please only apply if you are available immediately and can work quickly without a lot of hand-holding. When applying, please include: - Your relevant experience with AI-ready data pipelines or RAG data preparation - The tools you would use - Confirmation that you can complete this today - Your estimated timeline for delivery

Looking to build digital workflows to cover common tasks, such as responding to leasing inquiries, ingesting and analyzing bills from emails, proactively managing maintenance requests with self-service type questions, etc. Need someone who is proficient with building with LLMs, harnesses, and can demonstrate that they have build reliably operating systems Goal would be to reliably measure efficacy on each task, such that we could promote away from HITL into auto-act capabilities when confidence is sufficiently high Opportunity for much more work if can prove excellence here.

We’re looking for an experienced engineer or trainer to help deliver hands-on AI coding training for engineering teams. The focus is on moving engineers beyond basic Copilot/autocomplete usage into agentic workflows with tools like Claude Code, Codex, GitHub Copilot, and related tooling. Scope: Run practical workshops for engineers Teach Claude Code, Codex, and Copilot workflows Cover task scoping, prompting, reviewing diffs, and code validation Help create assets like CLAUDE.md, agents.md, slash commands, or workflow templates Advise on best practices, cost awareness, security, and team adoption Ideal candidate: Strong software engineering background Hands-on experience with Claude Code, Codex, or similar tools Experience training engineering teams Clear communicator with practical examples Please apply with relevant examples of AI coding workflows, trainings, or engineering teams you’ve supported.

We are seeking a senior AI developer to build and enhance AI models for our business. The role involves developing, testing, and deploying AI solutions, as well as improving existing models to increase accuracy and performance. The ideal candidate should have strong experience in AI development and be able to work independently on complex projects.

Overview We're building an open-source CLI gateway for multi-agent AI orchestration — model-agnostic, MCP-native, and designed to bring any agent framework online with a single command. The repo is active, well-documented, and growing. We need an engineer to accelerate integration coverage and help attract open-source contributors. The Work Build agent templates and runnable examples for LangGraph, CrewAI, and similar frameworks Add LLM provider support (Groq, Mistral, Gemini, etc.) to the Hermes runtime Write clean, contributor-friendly code that models good PR hygiene Submit work via fork → PR → merge workflow on GitHub You Are Strong Python developer with CLI tooling experience Familiar with at least one of: LangGraph, CrewAI, LiteLLM, LangChain Comfortable with open source GitHub workflows (fork, PR, issues, reviews) Self-directed — you read docs, ask good questions, and don't wait to be unblocked Nice to Have Experience with MCP (Model Context Protocol) Familiarity with SSE, OAuth 2.1, or agent credential management Prior open source contributions Engagement Part-time to start, 20 hrs/week Fixed milestones per integration delivered Potential to grow with the project To Apply Share your GitHub profile and one example of open source work or a project that shows your Python and agent framework experience. https://github.com/ax-platform/ax-gateway

26ers is building Human + AI operating systems that help organizations improve decision quality, execution speed, and organizational leverage. We are seeking a customer-facing AI Architect who can work directly with executives, operational leaders, and technical teams to design practical AI solutions that solve real business problems. This role helps organizations identify high-value AI opportunities, redesign workflows, modernize operations, and implement Human + AI operating systems that improve execution, decision-making, and organizational effectiveness. The ideal candidate can move fluidly between customer conversations, workflow discovery, solution design, governance considerations, and implementation planning. Responsibilities • Participate in customer discovery and solution design conversations • Analyze current-state workflows and identify AI transformation opportunities • Design Human + AI operating models, agentic workflows, and operational systems that improve execution and decision-making • Create solution blueprints, implementation plans, and statements of work • Collaborate with implementation developers and technical delivery teams • Consider data governance, security, compliance, and operational requirements throughout solution design • Contribute to the development of reusable 26ers methodologies, frameworks, and institutional knowledge • Design systems that capture, structure, and operationalize organizational knowledge and institutional learning Ideal Experience • Experience designing AI-powered business workflows and operational systems • Strong understanding of OpenAI, Claude, and modern LLM-based solution design • Experience with workflow orchestration platforms, AI agents, automation systems, and API-based architectures • Strong understanding of data governance, information security, and enterprise AI deployment considerations • Experience translating business requirements into solution architectures, implementation plans, and statements of work • Customer-facing experience in consulting, solution engineering, professional services, digital transformation, or technical advisory roles • Experience conducting discovery workshops, workflow assessments, and current-state/future-state design exercises • Understanding of operating model design, workflow modernization, and organizational transformation • Strong written and verbal communication skills with executive stakeholders • Ability to leverage AI tools to rapidly produce architecture drafts, blueprints, requirements documents, implementation plans, training materials, and customer deliverables Nice to Have • Experience with Gemini, MCP, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks • Experience with n8n, Make, Zapier, or workflow automation platforms • Experience with vector databases, RAG architectures, and organizational knowledge systems • Experience building or deploying multi-agent systems • Government, healthcare, financial services, or other regulated industry experience • Startup, founder, or early-stage company experience • Experience designing systems that capture institutional knowledge, operational learning, or organizational intelligence • Military, consulting, enterprise software, or transformation leadership experience Success in this role • Quickly understand a client's operating environment, workflows, and business objectives • Identify high-value opportunities for AI-enabled transformation and operational leverage • Translate customer goals into practical solution designs, implementation plans, and delivery roadmaps • Balance innovation, governance, security, and operational realities • Help organizations move from AI experimentation to operational execution This role may begin on a contract basis and expand into a longer-term strategic partnership as 26ers grows.

Overview We run an AI voice assistant for self-storage operators. We have an internal, AI-assisted workflow for triaging call feedback — investigating what happened on a call, diagnosing the root cause in our codebase, and drafting fixes. We’re looking for someone technical to run that AI-assisted workflow day to day and help us make it better. You’ll be driving AI coding agents, reading real code to understand behavior, and improving the process and tooling itself. What you’ll do Use our AI agent tooling to work through a queue of customer feedback on AI voice calls. Read our TypeScript/Node codebase (voice-agent prompt assembly, workflow/“SOP” engine, tool implementations) to diagnose why the agent behaved a certain way — not just guess. Draft fixes: workflow-instruction edits, knowledge-base entries, or code changes via pull request with a clear verification plan. Improve the triage process itself — refine the AI agent prompts/skills, conventions, and the internal MCP tooling that powers it. Write clear, customer-facing summaries of what changed for our team to review and approve. You’re a great fit if you Read and reason about code confidently — ideally TypeScript/Node; React a plus. Have hands-on experience driving AI coding agents (Claude Code, Cursor, or similar) and understand how LLM prompts/tools/agents fit together. Think in cause-and-effect: “the agent did X because line Y / instruction Z.” Write precisely and concisely for both technical and non-technical audiences. Are process-minded — you spot the repetitive thing and turn it into a better workflow. Bonus: prompt engineering, LLM tool/agent development, or voice/conversational AI experience. How we work We’ll start with a paid trial on a small batch, then scale steady ongoing volume. To apply: Tell us about a time you used an AI coding agent to diagnose or fix something non-trivial in a codebase you didn’t write — what you did, and how you verified it worked. A link to relevant work is a plus.

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.

Overview We’re a software company that resells Microsoft licenses as part of our SaaS product and deploys workloads in Microsoft Azure. We need a specialist who can accurately model our per-user and per-deployment costs across both Azure infrastructure and Microsoft licensing so we understand exactly what each customer deployment costs us. What you’ll do • Build a clear, reusable cost model for a product deployment that combines Microsoft 365 licensing (e.g. E3/G3) with Azure Virtual Desktop (AVD) • Use the Azure Pricing Calculator to estimate infrastructure costs across different VM sizes and configurations (e.g. 8 GB vs 16 GB RAM, session host counts, storage, bandwidth) • Break down Microsoft licensing costs per user, including how E3/G3 and any add-ons stack up • Model how costs scale as we add users/seats, and identify the main cost drivers • Deliver the model in a spreadsheet we can adjust ourselves (change RAM, seat count, VM size, etc. and see the cost update) Required expertise • Hands-on experience with the Azure Pricing Calculator and real-world Azure cost estimation • Strong knowledge of Microsoft 365 / Azure licensing, including CSP/reseller licensing models • Experience with Azure Virtual Desktop sizing and cost (session hosts, VM SKUs, storage, FSLogix, etc.) • Ability to translate technical configs into a clean cost breakdown a non-engineer can follow Nice to have

AI Workflow & Automation Consultant for Executive Search Firm We are an executive search firm looking for an experienced AI technology consultant to help us evaluate, improve, and automate our internal workflows. We are not looking for someone to simply introduce generic AI tools. We want someone who can take a hands-on look at how our business currently operates, understand our recruiting/search process, and help us create practical, efficient AI-enabled workflows that our team will actually use. About Our Current Tech Stack We currently use: RecruitCRM as our applicant tracking/search CRM Microsoft 365 across the business Microsoft Copilot as our enterprise AI tool Claude, which integrates with RecruitCRM Microsoft Teams, Outlook, OneDrive, SharePoint, Word, Excel, and PowerPoint Additional recruiting tools, interview notes, candidate documents, and internal templates We want to better connect and leverage these systems so we can reduce manual work, improve consistency, and make our team more efficient. What We Need Help With We are looking for someone to review our full process and help identify where AI, automation, integrations, or better workflows can improve the way we work. This may include: Reviewing our current recruiting/search workflow from intake through candidate presentation Evaluating how we use RecruitCRM, Copilot, Claude, Microsoft 365, Teams, Outlook, OneDrive, and SharePoint Identifying repetitive manual tasks that can be automated or streamlined Helping us create better workflows for candidate presentations, interview notes, client updates, reporting, and document management Recommending practical AI tools, prompts, templates, automations, or integrations Helping us organize files, notes, candidate materials, and client deliverables more efficiently Training or documenting best practices so our team can adopt the new workflows Ideal Background The ideal consultant will have experience with: AI workflow design for small or mid-sized businesses Microsoft 365, Microsoft Copilot, Teams, Outlook, OneDrive, and SharePoint Recruiting, staffing, executive search, or professional services workflows CRM or ATS systems, ideally RecruitCRM or similar platforms Claude, ChatGPT, Copilot, or other AI tools used in business operations Automation tools such as Power Automate, Zapier, Make, or similar Process mapping, workflow optimization, and implementation Project Goal Our goal is to have someone come in, understand how we work today, and help us build a more efficient AI-enabled operating system for the business. We want practical improvements, not theoretical recommendations. The right person should be able to assess our current state, recommend what should change, help implement improvements, and provide clear documentation or training for our team. Deliverables May Include Current workflow assessment AI and automation opportunity map Recommended tools and integrations Updated workflows for key business processes Reusable prompts, templates, or SOPs Microsoft 365 / Copilot / RecruitCRM optimization recommendations Implementation support Training documentation for our team To Apply Please include: A brief overview of your experience with AI workflow consulting Examples of similar projects you have completed Your experience with Microsoft 365, Copilot, Claude, RecruitCRM, or recruiting workflows How you would approach reviewing and improving our current process Your suggested project structure and estimated timeline We are open to either an initial audit/strategy project or a longer-term implementation engagement depending on fit.