We are looking for an experienced AI Agent Product Engineer to help us build production-ready AI agents that can be used directly by businesses and the general public. We are not looking for someone who only builds prototypes, automations or basic chatbot demos. We need someone who has experience turning AI agents into reliable, scalable products with real users. You will work on AI products for Servicia, including Agents on Demand and Companies on Demand, as well as AI agents that may be offered to external clients through our AI initiatives. The ideal candidate has experience with: OpenAI API and agentic AI frameworks OpenAI Agents SDK, LangGraph or similar technologies Tool calling and multi-agent workflows RAG and knowledge bases Memory and context management API integrations Authentication and user management Multi-tenant SaaS applications Human-in-the-loop approvals Guardrails and permissions Monitoring, logs and observability AI evaluations and reliability testing Managing token and inference costs Payments and subscriptions Deploying AI products to real users Full-stack development Experience with voice agents, WhatsApp, Gmail, Google Drive, CRM, ERP or enterprise software integrations is a strong plus. We are particularly interested in developers who have already launched AI agents or AI-powered SaaS products used by real customers. This can begin as a freelance project, with the possibility of becoming a long-term relationship. We expect to develop multiple agents and eventually create a reusable platform that allows us to rapidly build, customize, deploy and monetize AI agents.

We are looking for a skilled, hands-on AI Engineer to help us build and optimize our AI product. You will be responsible for designing the AI architecture, integrating modern LLMs/frameworks, and ensuring our AI pipeline runs efficiently, reliably, and accurately in production. Responsibilities Design, build, and deploy custom AI solutions (LLM integration, RAG, AI agents, or fine-tuning). Build robust prompt engineering pipelines, function-calling workflows, or structured output mechanisms. Implement vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) for semantic search and retrieval. Optimize latency, API costs, and context window efficiency across LLM providers (OpenAI, Anthropic, open-source models). Connect AI models to backend services via REST APIs / webhooks. Implement evaluation metrics (hallucination detection, retrieval accuracy, output validation). Required Skills & Qualifications Languages: Python (strong expertise required), TypeScript/Node.js (a plus). AI / ML Tooling: LangChain, LlamaIndex, AutoGen, CrewAI, or direct SDK integrations (OpenAI, Anthropic, Hugging Face). Databases: Vector databases (Pinecone, Chroma, Qdrant, pgvector) + relational/NoSQL DBs. Deployment & Cloud: Docker, AWS / GCP / Azure, FastAPI / Flask, Serverless architectures. Core Concepts: In-depth understanding of Embeddings, RAG, Fine-Tuning, Function Calling, and Agentic Workflows. Preferred (Nice to Have) Experience deploying open-source models locally or on dedicated hardware (vLLM, Ollama, Hugging Face TGI). Experience with fine-tuning techniques (LoRA, QLoRA). Background in frontend AI UI integration (Vercel AI SDK, Streamlit, Gradio).

We are an early-stage technology startup focused on building innovative solutions that help organizations work smarter, make better decisions, and accelerate business growth through modern technology, automation, and data-driven innovation. We're assembling a small, high-performing founding team of talented professionals who are passionate about solving complex problems, building scalable products, and creating exceptional customer experiences. We're currently seeking experienced contract professionals who are excited about working in a fast-paced startup environment where their expertise will have a direct impact on the company's growth and success. This is an opportunity to collaborate with a talented team, contribute to meaningful projects, and help shape the future of an innovative technology company. Contract Opportunities Operations Executive Assistant Finance & Operations Manager Product & Engineering Product Manager Technical Lead / Founding Software Engineer Full Stack Software Engineers (2 Positions) AI Engineer Data Engineer UI/UX Designer QA Automation Engineer Customer & Growth Customer Success Manager Enterprise Account Executive Business Development Representative Growth Marketing Manager What We're Looking For We are looking for professionals who are innovative, collaborative, and driven by curiosity. Our ideal team members enjoy solving challenging problems, thrive in dynamic environments, embrace emerging technologies, and are committed to delivering outstanding results. As a member of our founding team, you'll have the opportunity to help shape our products, influence key decisions, and contribute to building a strong culture centered on innovation, accountability, and continuous learning.

Summary We're an early-stage AI startup building Hirey — an agent-to-agent marketplace that runs inside various AI tools via a plugin. Think "Upwork for AI agents": your agent finds, vets, and books the right human or agent on your behalf. We're looking for 5 AI agent enthusiasts to install our plugin (OpenClaw, Codex, Opus, Gemini), try it out, and sit for a short 10-15 minute video interview about your experience. The interview will be posted on our hirey.ai site. About 45 minutes of your time total. What you'll do Install the Hirey plugin in Codex. It connects your agent to Hirey's remote MCP server, so there's no local server, Node setup, Claude Desktop, or JSON config edit required. Setup is usually: enable the plugin, restart the AI agent you installed on. Connect to Hirey, run a sample workflow, and check out the hirey.ai page. A 10-15 minute video interview with the founding team. We'll ask about your experience with Hirey and your broader take on the AI agent/MCP ecosystem. Camera on, recorded, and published on hirey.ai — by taking part you're agreeing to be filmed and featured on our site. This project also includes creating a profile on our platform, filling it out completely, and connecting with me within the network. Who we're looking for Someone who has used AI tools in the past, especially for coding or technical tasks. You use Claude Desktop, Cursor, Codex, or similar AI dev tools regularly. Bonus: you've built or contributed to anything in the AI agent / MCP / LangChain / Claude Code ecosystem. What you get $20 flat, released via Upwork on interview completion. A feature on hirey.ai as an early voice in the AI agent space. Early access to the Hirey AI agent network if you want to keep using it. A direct line to the founding team. Links to include in your profile - Link 2 projects in your profile. - Link your Upwork page. - Link your LinkedIn. To apply, answer these in your proposal Have you used an AI coding tool before? Which one(s)? One sentence on a recent AI/agent project you've worked on or played with. Your timezone and earliest availability this week. Confirm you're comfortable being filmed and featured on hirey.ai. We'll respond within 24 hours and schedule interviews within 2 business days. No long applications, no portfolio review. Optimizing for speed.

We are developing a fertility and cycle-tracking platform, and are seeking an experienced FemTech Data Scientist, Reproductive Health Algorithm Specialist, or Health Data Scientist to design the backend logic powering our menstrual cycle and fertility predictions. This is NOT a general mobile app development position. We already have developers. We need a specialist who can design the scientific logic, algorithms, calculations, decision trees, and data models that our developers will implement. What We Need Built The consultant will help design a comprehensive cycle and fertility prediction engine including: * Personalized menstrual cycle length calculations * Next-period prediction * Cycle variability and irregular-cycle detection * Fertile-window prediction * Personalized ovulation estimation * Luteal-phase estimation * LH/OPK surge and peak detection logic * Integration of quantitative LH test results * BBT trend analysis and ovulation confirmation logic * Cervical mucus fertility indicators * Dynamic predictions that update as new cycle data is entered * Prediction confidence scoring * Handling incomplete or missed cycle data * Abnormally long/short cycle handling * Possible anovulatory-cycle logic * Pregnancy-mode transition * Postpartum/breastfeeding considerations * Recently discontinued hormonal contraception considerations * Appropriate handling of insufficient data/new users The system should distinguish clearly between: * Predicted period dates vs. logged period dates * Predicted ovulation vs. biomarker-supported ovulation * Calendar estimates vs. current-cycle physiological evidence * Low-confidence vs. high-confidence predictions Test Strip Integration Lunara will also integrate with physical LH and HCG test strips. We are especially interested in candidates with experience in: * OPK/LH test interpretation * T/C ratio calculations * Computer vision for test strips * LH baseline and surge detection * Peak detection * Image-processing pipelines * Fertility biomarker interpretation Computer-vision expertise is preferred but not required for the initial algorithm specification. Data Inputs The future prediction engine may use: * Period history * Cycle length history * LH tests * Basal body temperature * Cervical mucus * Symptoms * User-entered ovulation information * Pregnancy tests * Wearable/device data * Sleep and other physiological data We want an architecture capable of incorporating additional biomarkers in the future. Deliverables The primary deliverable should be an implementation-ready Cycle & Fertility Algorithm Specification for our development team. This should include: 1. Mathematical calculations/formulas 2. Variables and required data inputs 3. Database/data-model recommendations 4. Decision trees 5. Pseudocode 6. Prediction-confidence methodology 7. Cycle-learning/personalization methodology 8. Irregular-cycle logic 9. LH interpretation logic 10. BBT interpretation logic 11. Fertile-window calculations 12. Missing-data handling 13. Edge cases 14. New-user/default logic 15. Testing scenarios and expected outputs 16. Recommendations for validating prediction accuracy 17. Clear documentation our backend developers can implement We are **not looking for someone to simply use a standard 28-day cycle calculation.** The goal is to develop a personalized system that learns from each user's historical and current-cycle data and appropriately changes its predictions as new information becomes available. Ideal Candidate We would especially like to hear from candidates with experience in one or more of the following: * FemTech * Fertility technology * Menstrual-cycle modeling * Reproductive-health research * Digital health * Biostatistics * Time-series modeling * Health data science * Machine learning * Physiological signal processing * Fertility-awareness methods * Consumer health applications Experience working with fertility or menstrual-cycle datasets is **strongly preferred**. Python/R experience is preferred. Clinical or academic reproductive-health experience is a major plus. Important Lunara combines scientific cycle tracking with separate wellness and spiritual features. The **scientific fertility prediction engine must remain evidence-based and independent** of spiritual features such as moon phases, journaling, mindfulness, and intention setting. We want someone who understands the importance of scientific integrity, user safety, privacy, explainability, and not presenting uncertain predictions as medical certainty. When Applying Please include: * Your relevant experience with menstrual-cycle, fertility, reproductive-health, or physiological data * Examples of health algorithms/models you have developed * Your experience with time-series or longitudinal health data * Whether you've worked with LH, BBT, hormone, wearable, or fertility data * Whether you can provide implementation-ready pseudocode/documentation * How you would approach validating the algorithm * Your estimated timeline and project cost **Please do not apply if your experience is limited to general mobile/web development. We are specifically seeking someone who can design the fertility/cycle intelligence layer.**

We're building an AI Research Copilot for our financial analytics platform. The Copilot will help investors and financial professionals analyze market data, company financials, news, and earnings using natural language. This is a production AI project, not a basic chatbot. Responsibilities Build a production-ready AI Research Copilot Design and implement RAG pipelines Integrate LLMs with our financial data and APIs Implement semantic search and tool calling Build conversation memory and streaming responses Add source citations and improve response accuracy Optimize performance and reduce hallucinations Required Skills Python OpenAI, Claude, or Gemini APIs RAG and vector databases (Pinecone, Qdrant, pgvector, Weaviate, etc.) LangGraph, LangChain, LlamaIndex, or similar frameworks API integration Prompt engineering Production AI application experience Please include: AI products or copilots you've built Your experience with production RAG systems Your preferred AI architecture for this project Briefly explain how you reduce hallucinations and provide trustworthy AI responses. We're looking for an experienced engineer who can build scalable, production-quality AI systems and collaborate long term.

Hi I am looking to create an AI agent that is friendly with Copilot but could work with other common AI platforms. Details: An AI RFP agent to streamline the entire procurement process by drafting RFPs, recommending deliverables, checking for missing requirements, and ensuring USDA/AMS compliance. It could automatically compare vendor proposals, score them against predefined criteria, identify risks and gaps, recommend vendors based on past performance, and generate executive summaries and recommendation memos. Once a vendor is selected, it could also create statements of work, project timelines, and contract milestones while capturing lessons learned to continuously improve future RFPs. The result is a faster, more consistent, and more strategic procurement process that allows the team to spend less time on administration and more time selecting the best partners.

About the Role We're looking for an experienced AI/ML developer to design, build, and deploy production-grade AI systems. You'll work on LLM-powered applications, retrieval-augmented generation (RAG) pipelines, and multi-agent architectures. This is a hands-on role for someone who has shipped real AI products—not just prototypes. Responsibilities Design and implement RAG pipelines (chunking, embeddings, vector stores, retrieval optimization) Build multi-agent systems using LangChain and LangGraph Integrate and fine-tune LLMs (OpenAI, Anthropic, open-source models) Develop and optimize prompts, tool-calling, and agent orchestration logic Deploy scalable, reliable AI services with proper monitoring and evaluation Collaborate on architecture decisions and code reviews Required Skills (Mandatory) Strong AI/ML fundamentals and hands-on experience Proven LLM application development RAG pipeline design and optimization LangChain and LangGraph (production experience) Agent / multi-agent system build experience Vector databases (Pinecone, Weaviate, Chroma, FAISS, or similar) Python (production-level) API integration (OpenAI, Anthropic, Hugging Face) Nice to Have Fine-tuning / LoRA / model optimization Cloud deployment (AWS/GCP/Azure) MLOps and evaluation frameworks (LangSmith, RAGAS) Experience with streaming, caching, and cost optimization

Job Title - Front End - AI Developer (Work from Office- Plano, Texas) 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 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: React or equivalent frontend, Python or Node.js backend; 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

We are seeking an experienced Autodesk Fusion 360 and CAM instructor to deliver practical, beginner-friendly training for a manufacturing and fabrication team. Project Overview Our company is expanding, and we want to standardize design and manufacturing workflows across our engineering, product development, and fabrication teams. The participants will be starting with little or no Fusion 360 experience. The goal is to help them confidently work within a shared system where they can: Import and review existing product and part files Understand and modify designs Create basic parts and manufacturing-ready models Collaborate and iterate across engineering and fabrication teams Understand fundamental CAM workflows Prepare designs for machining and fabrication Develop skills aligned with the Autodesk Certified User (ACU) level The training should be hands-on and focused on realistic manufacturing and product-development use cases. Training Details Location: Mountain View, California The final format is still being determined. Training may take place at the client’s facility or in a local classroom. Timing: Within the next couple of months, based on instructor and client availability Participants: Approximately 3–8 employees Experience level: Beginner; participants will be starting from square one Expected Training Topics The selected instructor should be comfortable teaching: Fusion 360 interface and navigation File management and shared project workflows Sketching and design constraints Parametric modeling fundamentals Creating and modifying components and assemblies Importing, reviewing, and repairing existing CAD files Design changes and revision workflows Manufacturing considerations and design-for-manufacturing principles Introduction to Fusion 360 Manufacturing workspace Basic CAM setup Tool selection and tool libraries 2D milling and common machining operations Work coordinate systems, stock setup, feeds, and speeds Toolpath simulation and verification Exporting manufacturing files and documentation ACU exam objectives and recommended next steps Scope of Work The engagement will include: One client alignment and discovery meeting Review and customization of training materials Preparation of practical exercises relevant to the client’s manufacturing workflow Instructor-led Fusion 360 and introductory CAM training Recommendations for continued learning and ACU preparation Compensation Daily rate: $1,200 per day Total fixed compensation: $3,600 The total compensation covers the client alignment meeting, material preparation and customization, and training delivery. Reasonable local travel expenses, including gas, Uber, and parking, will be reimbursed when necessary and approved in advance. Ideal Instructor We are looking for someone who has: Strong professional experience using Autodesk Fusion 360 Practical CAM and manufacturing experience Experience teaching complete beginners The ability to explain technical concepts clearly and patiently Experience with CNC machining, fabrication, product development, or manufacturing engineering Experience preparing learners for Autodesk certification Availability to deliver in-person training in or near Mountain View, California Autodesk certification, including Fusion 360 certification, is strongly preferred. Application Requirements Please include: A summary of your Fusion 360 and CAM experience Details about previous instructor-led training engagements Experience working with manufacturing or fabrication teams Relevant Autodesk certifications Your availability during the next two months Your location and ability to travel to Mountain View A sample course outline or training agenda, if available Confirmation that you accept the $3,600 total project compensation This is a practical training engagement for a growing manufacturing team. We are especially interested in instructors who can bridge the gap between CAD design, engineering collaboration, and real-world fabrication.