I’m looking for an AI Engineer to help build an automated red-teaming product based on open-source models. This is a short-term, hands-on project for around 2 months, with an expected commitment of about 20 hours per week. The goal is to build a specialized red-teaming engine that can generate adversarial prompts across different risk domains, severity levels, and attack strategies — then automatically run those prompts against target AI models to identify bad cases, failure patterns, and safety gaps. 🔍 What you’ll work on Build red-teaming systems on top of open-source LLMs, including fine-tuning, prompt optimization, evaluation pipelines, and model orchestration. Design automated prompt generation workflows across risk domains such as self-harm, hate, violence, sexual safety, misinformation, fraud, cyber, and other high-risk areas. Generate prompts across different harm levels, from benign edge cases to policy-borderline and clearly unsafe scenarios, while maintaining structured taxonomies and evaluation criteria. Run automated tests against target models such as Gemma, Llama, Qwen, or other open-source / closed-source models to surface jailbreak patterns, over-refusal, under-refusal, and policy inconsistencies. Build feedback loops that turn model failures into stronger red-team prompts, improved eval sets, remediation recommendations, and continuous safety testing. 🧠 What I’m looking for Hands-on experience with open-source LLMs, fine-tuning, LoRA / QLoRA, RAG, model evaluation, and LLM inference pipelines. Familiarity with AI safety, red teaming, adversarial prompting, jailbreaks, safety evals, or trust & safety systems. Ability to build end-to-end systems, including data pipelines, model serving, eval harnesses, scoring, dashboards, and automation workflows. Bonus if you’ve worked on model safety, content moderation, policy evaluation, agentic testing, or automated eval infrastructure. ⏳ Project setup Duration: around 2 months Time commitment: about 20 hours per week Format: flexible / remote-friendly Stage: early-stage build, from 0 to 1 🚀 Why this is interesting This is not about manually writing red-team prompts one by one. The goal is to build a scalable system that can continuously generate, test, categorize, and learn from model failures — helping teams understand where AI models break, why they break, and how to improve them. If you enjoy working with open-source models, AI safety, red teaming, and fast 0-to-1 product building, I’d love to chat. Feel free to DM me if this sounds like you, or if you know someone who might be a good fit.

We're building an internal AI system that runs entirely on our own hardware (no cloud inference) against our own company data. We have a working proof-of-concept and want to get the architecture right. We need an experienced consultant to review what we've built, pressure-test our decisions, and tell us where we're wrong. This is an advisory/validation role first — we have someone doing the hands-on work; what we want is a senior second opinion to make sure we're building this the right way. What we're running today: Inference: RTX 5090 (32GB, Blackwell), Ubuntu 24.04, running llama-server (llama.cpp + CUDA) serving Gemma 4 31B-it (Q4_K_M GGUF) at a 262,144 context window. Also hosts our MCP retrieval server, PostgreSQL, and Qdrant. Embeddings: separate machine with an RTX 3060 running vLLM serving Qwen3-Embedding-4B. RAG: hybrid retrieval — Postgres full-text search + Qdrant semantic search with RRF fusion, exposed through a custom MCP server with tool-calling. Data: ingesting our own internal operational data into Postgres + Qdrant. Planned stack: LiteLLM for model routing, n8n for automation, Open WebUI for the interface, Langfuse for observability, Vault or Infisical for secrets, Keycloak/Azure AD for SSO. What we need help with: Validating our two-machine split (inference vs. embeddings) and whether our VRAM/context budget holds up under real load — specifically whether a 256K context window is real and performant on a single 32GB card or just nominal. Model selection and routing strategy: which open-weight models for which tasks, and how to structure LiteLLM routes. RAG quality: chunking, embedding dimensionality, hybrid search tuning, reranking — making retrieval actually accurate on messy real-world data. Sanity-checking our overall architecture and telling us our blind spots. You should have done: Stood up local LLM inference in production — llama.cpp/llama-server and vLLM, not just Ollama on a laptop. You understand GGUF quantization (Q4_K_M, IQ-series), KV cache, KV-cache quantization, and how context length maps to actual VRAM consumption. Real fluency in GPU sizing math — given a model, a quant, and a context window, you can tell us whether it fits on a given card and what throughput to expect. Bonus if you've worked with Blackwell / sm_120a. Built production RAG — vector DBs (Qdrant, pgvector), hybrid search, RRF fusion, embedding model selection, reranking, evaluation. Worked with agentic/tool-calling systems and ideally MCP servers. Know the open-weight model landscape (Gemma, Qwen, Llama, Mistral, Phi, Nemotron, Hermes) and their licenses well enough to advise. Production ops: systemd, Docker, model gateways (LiteLLM or similar), observability (Langfuse), secrets management, SSO.

Gantzer Group has hired from Upwork for over 10 years in dozens of roles and have a near perfect score from our contractors - many of whom have worked with us for years. We will hire one or more for this role within a week, and work will ramp up quickly in December. Immediate availability and bandwidth is a must. This is NOT a branding or marketing strategy role. This role will specifically gathering, organizing and sometimes implementing client and internally provided marketing content, assets, messages, emails, web pages, etc. This role is also NOT intended to produce creative (although you may implement produced creative on their platforms). Its to coordinate the content and information related to the strategies and creatives others on the team will produce. We are seeking an experienced marketing coordinator that can efficiently gather, organize, maintain, distribute and implement marketing assets. This role will focus on one of our primary markets to start - higher education marketing - but upon success will expand to our many other clients and markets. Applicants must have direct/expensive experience with the types of projects we handle, including: - Digital and traditional advertising - especially Google search and display - Content development - Web and landing page development - Nurture campaigns using text/email This role will include the following: - reviewing both internal and client marketing assets, messages, information, competitor information, product / service information - Implements marketing and advertising campaigns by assembling and preparing marketing and advertising assets based on strategies, plans, and objectives - Sometimes prepares marketing reports by collecting, analyzing, and summarizing data - Researches competitors by identifying and evaluating product/service characteristics, market share, pricing, and advertising Near term, this role will work within a complex framework we've developed as an approach to marketing colleges and their programs. The ideal resource will: - have broad and deep experience across many marketing formats and channels - Ability to comprehend a lot of information and work efficiently , knowing where to focus and spend time...and where not to To be considered, please provide: - your background in relation to the above - available hours per week, time zone worked in, and normal working hours each day

We're a direct-to-consumer jewelry brand with an in-house creative strategy in place. We need a part-time creative who can take the marketing angles, inspo, content and direction we provide and turn them into finished ads. Both the design and the copy. You'll produce static and graphic ads for social media, add the text call outs, hooks and copy that go with them, and occasionally use AI tools to create fun, scroll-stopping ad concepts. We handle the strategy, you bring it to life. This is an ongoing part-time role. We test a lot, so we need someone who produces quickly, takes direction well, and turns briefs into polished, ready-to-run creative.

As the SEO Consultant, you are Uptick Marketing's strategic leader for Search Engine Optimization (SEO) and Answer Engine Optimization (AEO). Your primary responsibility is to develop search strategies that increase organic visibility, improve AI discoverability, and generate qualified leads for our clients. You will assess websites, identify growth opportunities, develop strategic roadmaps, conduct technical audits, and provide actionable recommendations that improve performance across traditional search engines and AI-powered search experiences. As Uptick's primary authority on AEO, you will guide strategies that optimize client content and website structure to maximize visibility and citation opportunities within AI-powered search platforms such as ChatGPT, Gemini, Perplexity, and Google's AI experiences. This is a consultative role focused on strategy, prioritization, quality assurance, and thought leadership—not implementation. You will collaborate closely with the Technical SEO Support Specialist, Content Team, Marketing Consultants, Account Managers, Designers, Developers, and Operations to ensure recommendations are successfully executed while staying at the forefront of the rapidly evolving search landscape.

Job Title - AI Native Developer Duration - 90 Days Initial Engagement (20 Hours/week) Work Mode- Onsite Work Location- Plano, Tx Position Summary: We are hiring a Senior AI Native Developer to join an active client engagement in the restaurant technology space. This is a hands-on, on-site role with a dual mandate: driving development execution as a Senior Engineer and acting as a client-embedded technical liaison — a Product Owner / Technical Lead hybrid — working alongside the client's CTO, stakeholders, and ISHIR's India-based development team. This role suits someone who thrives in ambiguity, translates business requirements into shipped code, and is equally comfortable presenting to executive stakeholders and writing production-grade AI features in the same week. WHAT YOU'LL DO Client Delivery & On-site Presence Serve as the primary on-site technical SPOC for the client engagement — attend stand-ups, sprint reviews, and stakeholder sessions Represent ISHIR's delivery team with clarity and professionalism; communicate progress, risks, and decisions to CTO and CFO-level stakeholders Facilitate product discovery, requirements refinement, and architecture review sessions on-site Own the client relationship day-to-day, proactively flagging issues before they escalate AI-Native Development Design and build AI-powered product features using LLMs, RAG pipelines, and agentic architectures Integrate AI capabilities — OpenAI, Anthropic Claude, Azure OpenAI — into production web and API systems Write clean, testable, production-grade code across the full stack (frontend through backend through data layer) Own feature delivery end-to-end: from acceptance criteria through deployment and post-go-live monitoring POD Coordination Collaborate daily with ISHIR's India-based developers and QA across time zones via Azure DevOps, Slack, and video standups Translate client decisions and feedback into clear development tasks and backlog items for the offshore team Review pull requests and maintain code quality standards across a distributed team Flag scope changes, technical blockers, and delivery risks to the Program Manager proactively WHAT WE'RE LOOKING FOR Must-Have 8+ years of hands-on software engineering experience, with at least 2 years building AI/ML or LLM-integrated products Proven ability to work directly with clients — comfortable in executive meetings and boardroom-level presentations Strong full-stack background: Python or Node.js backend; React or equivalent frontend Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) — prompt engineering, RAG, tool/function calling Solid agile delivery experience: sprint planning, backlog grooming, coordinating distributed engineering teams US-based with ability to travel on-site to client locations (primarily Dallas, TX area) Exceptional written and verbal communication — you write as clearly as you code Strong Advantages Prior experience in a client-facing technical lead, senior PO, or solutions architect capacity at a services or consulting firm Familiarity with restaurant technology, hospitality SaaS, or B2B platform products Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployments (Azure preferred) Hands-on with agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar Anthropic Claude Certified Architect (CCA-F) or equivalent AI platform certification ABOUT ISHIR ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration

About the Role Assembly Software is a B2B SaaS company serving law firm customers and is actively expanding its internal AI capabilities. We are seeking a highly skilled AI contractor to serve as our embedded AI program lead — someone who can own and advance the design, implementation, and governance of AI tooling across the entire organization. This is a hands-on, strategic role. You will work directly with IT leadership and cross-functional teams to assess our current AI landscape, close gaps, and build a mature, secure, and operationally excellent AI program. We are a heavy Anthropic/Claude shop. Strong familiarity with Claude, the Anthropic API, and the Model Context Protocol (MCP) ecosystem is a significant advantage for this role. Core Responsibilities • Audit existing AI tool usage and identify overlaps, gaps, and shadow IT • Design and implement a company-wide AI governance framework • Lead MCP server setup, integration, and lifecycle management • Configure and manage Claude Teams/Enterprise deployments • Build and maintain an internal AI Skill Library for staff use • Define AI security policies and data access controls • Evaluate and recommend new AI tools and vendors • Establish prompt engineering standards and best practices • Connect AI tooling to internal business systems (Salesforce, M365, Asana, and others) • Support AI integrations with sensitive data sources including our data warehouse and CRM • Produce documentation, SOPs, and executive-ready reporting • Train internal staff and stakeholders on AI capabilities and safe usage Required Qualifications • Hands-on AI implementation experience in enterprise environments • Deep familiarity with large language model platforms, particularly Anthropic Claude and OpenAI • Proven experience building and managing MCP (Model Context Protocol) servers and integrations • Strong understanding of AI security — data exposure risks, access scoping, governance controls, and audit logging • Experience integrating AI tooling with business systems such as Salesforce, Microsoft 365, or similar platforms • Ability to author clear governance documentation, security policies, and executive-facing deliverables • Comfortable operating independently with minimal oversight while maintaining strong stakeholder communication Preferred Qualifications • Hands-on experience with the Anthropic Claude API, including system prompt design, tool use, and agentic workflows • Background in B2B SaaS, legal technology, or other regulated industries • Familiarity with SOC 2 compliance requirements as they relate to AI tooling and data access • Prior experience standing up internal AI assistants or Copilot-style tooling connected to live business data • Knowledge of data warehousing and secure query patterns for LLM-to-database integrations • Familiarity with CI/CD workflows and lightweight DevOps for deploying AI services

We are looking for a practical, business-oriented attorney who can help us review, negotiate, and improve commercial agreements while providing general legal guidance as our company grows. Typical work will include: • Customer Master Services Agreements (MSAs) • Statements of Work (SOWs) • Vendor and subcontractor agreements • Independent contractor agreements • NDAs and confidentiality agreements • Partner and referral agreements • Support and managed services agreements • Data privacy and security provisions • Intellectual property ownership and licensing terms • Contract negotiation strategy and risk assessment Experience with technology companies, SaaS businesses, AI services, and data privacy is strongly preferred.

We are Bowlful a new fresh bowl concept coming to the SODO district of Orlando. We we are aiming to open our doors in October/November 2026. Our BlazeAI account is already set up, connected to all our social channels, and has our branding loaded. Now, we need an expert to activate it. The Goal: We need to start a weekly "Coming Soon" campaign (1 post per landing page week) to tease our arrival and build anticipation in the local market. We want to keep our exact address a mystery until our sign is installed in approximately 60 days. Your Mission: You will be the pilot of our BlazeAI platform. Your primary task is to set up, manage, and fine-tune a 5-month campaign that generates a weekly post. You will use the AI to create content that: Teases our arrival in the SODO area. Highlights our "fresh" concept. Drives our audience to our website for a "sneak peek." Directs the AI to adapt the message as we progress (e.g., sharing pictures of construction, the sign installation, and other milestones). We want to start with one post per week, but as we get closer to opening, we plan to increase the frequency. What We're Looking For: We need a BlazeAI power user. Not just someone who can post, but someone who understands how to train the AI to produce exactly the right tone and content strategy. Key Responsibilities: Campaign Setup: Configure the initial "Coming Soon" campaign within BlazeAI, setting the right goals, topics, and output formats for our brand. Content Direction: Provide ongoing, creative direction to the AI so each weekly post feels fresh, mysterious, and engaging. Quality Control: Review and approve all content generated by the AI before it goes live. Weekly Review: Hop on a 30-minute Sunday call with me to review the upcoming week's posts and discuss any necessary adjustments to the campaign strategy. Performance Analysis: Monitor basic analytics to see what's working and adjust the AI's direction accordingly. Expert-level proficiency with BlazeAI. Strong understanding of AI content generation and prompt engineering within the Blaze ecosystem. Experience managing social media campaigns, especially for local businesses or restaurants. Excellent communication skills for our weekly strategy calls. This is 1-2 hours total a week as the content will generate based on your input and depending how well you lead the AI it will become more and more efficient and require less tweaks. I will review the content on Saturday send over anything I see that I would like adjusted etc. Then our call on Sunday should be very short just to ensure we are on the same page. Long term could be a long term weekly campaign management and grow with our hot start up. As we get closer to the opening we will have many other strategies to employ and the role will expand for the right person as well as the compensation.

We are looking for an experienced Digital Marketing Specialist with a proven track record of successfully marketing online courses, memberships, coaching programs, or educational platforms. Our company, TUFF AI Learning Academy, is launching a next-generation online learning platform that teaches K–12 students and aspiring entrepreneurs practical AI, coding, business, financial literacy, digital marketing, and technology skills through interactive, project-based education. We're looking for someone who can help us rapidly grow enrollments through strategic paid advertising and social media marketing. About the Project TUFF AI Learning Academy prepares students for tomorrow's careers by teaching skills that traditional schools often don't cover. Our platform includes: - AI Education - Coding & Computer Science - Business & Entrepreneurship - Financial Literacy - Digital Marketing - AI Career Masterclasses - Interactive Learning - K–12 Curriculum - Project-Based Learning This is not a typical tutoring business—we're building a national education brand. --- Responsibilities Develop, launch, and optimize paid advertising campaigns on: - Facebook - Instagram - YouTube - Google Ads - Performance Max - Display - Remarketing Create and optimize: - Lead generation campaigns - Course enrollment campaigns - Video advertising - Conversion funnels - Landing page optimization - Audience targeting - Lookalike audiences - Retargeting campaigns - Pixel tracking - GA4 reporting - A/B testing Develop organic social media strategies for: Required Experience You MUST have experience marketing one or more of the following: - Online courses - Digital products - Membership communities - Coaching programs - Educational platforms - SaaS products - Subscription businesses Bonus if you've marketed: - AI products - EdTech - Homeschool products - Parent-focused products - Children's education - STEM education --- Required Skills - Meta Ads Manager - Google Ads - GA4 - Google Tag Manager - YouTube Ads - Landing Page Optimization - Conversion Rate Optimization (CRO) - A/B Testing - Email Marketing - Funnel Optimization - Pixel/Event Tracking - Analytics & Reporting --- What Success Looks Like Your goal is to increase: - Course enrollments - Qualified leads - Parent inquiries - Email subscribers - Return on ad spend (ROAS) - Cost per acquisition (CPA) - Conversion rates --- To Apply Please include: 1. Examples of online course or education campaigns you've managed. 2. Screenshots or case studies showing measurable results. 3. Your experience with Meta and Google Ads. 4. Average monthly ad budgets you've managed. 5. Your recommended strategy for launching an AI education platform. 6. Your favorite campaign you've ever run and why it was successful. --- Preferred Qualifications - Experience with GoHighLevel - Experience with course platforms - Experience marketing to parents - Funnel building experience - Copywriting experience - Creative strategy experience - Video ad optimization - AI marketing tools --- Budget Open to hourly or fixed-price proposals. We're looking for a long-term marketing partner who can help scale TUFF AI Learning Academy into a nationally recognized education brand. If you're passionate about education, AI, and building high-performing marketing campaigns that deliver measurable results, we'd love to hear from you.