Senior AI Engineer for a Deep Agents Platform and Scalable SaaS

@kamran2012

I can help with this, Hi, I will deliver the Phase 1 technical audit of your Deep Agents/LangGraph architecture and then build the Phase 2 Super Agent proof of concept: persistent memory via pgvector, MCP tool calling, subagent coordination, and failure recovery. On a similar agent platform, structuring checkpoints at the subagent level (not just the orchestrator) cut context loss on long runs significantly. Questions: 1) Does your existing spec already define the MCP servers for Phase 2, or do we select those together? 2) What is the target timeline for Phase 1 completion? Share the technical specification and I will return a detailed Phase 1 audit plan within 48 hours. Looking forward to discussing further. Best regards, Kamran

@PINESCRIPTERR

Hi, I can lead the audit and proof-of-concept for this platform with the depth required for durable, auditable enterprise agents, not merely wrap an LLM in a chat interface. Phase 1 would validate the specification against execution semantics, checkpointing, memory boundaries, tenant isolation, approval gates, tool security, failure recovery, observability, licensing, and provider portability. The output would be an architecture decision record, risk register, revised diagrams, threat model, implementation backlog, and acceptance tests. Phase 2 would deliver a focused Super Agent using Python, LangGraph, FastAPI, PostgreSQL/pgvector, asynchronous workers, MCP tools, and containerized deployment. The POC would demonstrate resumable long-running tasks, specialized subagents, persistent state, human approval, bounded browser automation, retries, cost tracking, audit logs, and model-provider abstraction. All work will live in your GitHub with locked dependencies, automated tests, CI, documentation, and reproducible environments. Relevant AI-agent case studies can be shared privately where client permissions allow. Fixed commercial terms can be finalized after reviewing the technical specification and defining measurable Phase 1-2 acceptance criteria. Question 1: Which Deep Agents implementation and version does the specification currently target? Question 2: What single enterprise workflow should the Phase 2 Super Agent prove end to end? Regards, Houssame

@mayankinnovative

Your objective isn't to build another AI chatbot—it's to validate an enterprise agent architecture before significant investment, then evolve it into a durable SaaS without locking the business into a specific model, cloud provider, or development partner. I'd begin with Phases 1 and 2 by reviewing the existing architecture against the operational challenges that matter most: long-running workflows, persistent memory, subagent orchestration, failure recovery, MCP integrations, browser automation, observability, and cost control. The proof of concept would focus on proving these capabilities under realistic scenarios rather than maximizing feature count. Once validated, the same modular foundation can support the admin dashboard, RBAC, multi-LLM routing, reproducible Docker deployments, and eventually isolated customer environments before transitioning to multi-tenancy. The phased structure, company-owned GitHub, mandatory documentation, automated tests, locked dependencies, and complete handover align well with an architecture designed for continuity rather than vendor dependence. For this engagement, I'd provide a fixed quote for the architecture audit and Super Agent PoC, along with a phase-by-phase estimate covering the MVP, deployment, pilot environments, SaaS transition, and white-label roadmap.

@Muhammadzeesha59

Hello Sir/ Mam We are a group of software engineers working here in a office and we deal these type of projects , we have a talented and experienced software engineers for these type of projects . We can handle this project very well and will provide you a perfect quality work on it. Text me for more details about the project . Thank you

@toriquldev123

Hello dear, Greetings from Md. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience, I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from (RUET). We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why Choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@jonasdedzo

Hello, I understand your goal is to create an enterprise-grade AI agent platform where Super Agents can execute complex tasks, coordinate specialized agents, maintain context, use external tools, recover from failures, and operate within controlled approval workflows. My approach would begin with a detailed technical audit of your current architecture and specifications, followed by developing a focused proof of concept for the core agent engine. This allows us to validate workflows, memory management, tool calling, integrations, and infrastructure choices before moving into the larger SaaS ecosystem. I have experience with Python, FastAPI, PostgreSQL, Docker, API development, automation systems, and AI-driven application architecture. I understand the importance of clean repositories, automated testing, documentation, secure deployment, and modular design for long-term product growth. The final objective should be a flexible platform that supports multiple models, customers, integrations, and future marketplace capabilities without requiring major architectural changes. Could you share whether the current technical specification includes an existing prototype/codebase, or should the first phase focus entirely on designing and validating the platform foundation?

@shayankhan333

The hardest part of a platform like this isn't wiring up LangChain, it's making the agent orchestration durable across long-running tasks. I've built multi-agent systems using LangGraph's checkpointing with PostgreSQL and pgvector for persistent memory, so I know where the failure-recovery edge cases hide. For Phases 1 and 2, I'll audit your architecture spec against real-world constraints (MCP connection pooling, token budget management across sub-agents) and then build the core Super Agent PoC with LangGraph's state machines, tool calling, and Playwright browser automation. One thing worth flagging early: pgvector works great for retrieval, but for durable checkpointing you'll want a separate schema to avoid index bloat as agent memory scales. 1) Are you leaning toward AWS or VPS for the PoC environment? Happy to talk details in chat. Shayan

@zeeshan5121472

Hi, I build backend services, automation tools, APIs, and AI integrations using Python and FastAPI, focusing on performance, reliability, and clean architecture.

@Heorhii01

Hi, I hope you're doing well. I understand you're building an advanced enterprise AI agent platform focused on autonomous workflows, persistent memory, multi-agent coordination, and scalable SaaS architecture. This requires more than a standard LLM integration—the goal is a reliable system where AI agents can execute complex tasks, use external tools, recover from failures, and operate with proper control, security, and auditing. I will help architect and develop the platform in structured phases, beginning with technical validation and a proof of concept for the core agent framework. I will work with Python, FastAPI, LangChain/LangGraph, PostgreSQL with vector storage, asynchronous workers, MCP/API integrations, Docker-based infrastructure, and secure SaaS patterns including authentication, RBAC, observability, and cost tracking. I will prioritize modular design, provider flexibility, automated testing, documentation, and deployment readiness from the beginning. My focus is on delivering a robust AI agent foundation with clean engineering practices, scalable architecture, reliable workflows, and a clear path from MVP development to a production SaaS platform. Best regards, Heorhii

@nemanjam61

Hello, I hope you're doing well. I am Nemanja from Serbia. I understand you are looking for a senior AI engineer to build a proprietary Deep Agents platform with LangChain, LangGraph, FastAPI, and a scalable SaaS architecture. This project requires more than a simple LLM integration. It needs reliable agent workflows, persistent memory, subagent coordination, tool integrations, MCP connectivity, browser automation, approval systems, observability, and a strong foundation for future enterprise scaling. I have experience with Python backend systems, AI workflow development, API integrations, databases, automation, and scalable application architecture. My approach is to first validate the architecture and technical direction, then build a strong proof of concept for the Super Agent core with clean modules, proper testing, documentation, and deployment practices. I focus on building maintainable systems that are independent from specific AI providers, secure, well documented, and ready to evolve into a multi-tenant SaaS platform. I would like to review your technical specification and discuss the Phase 1 audit and Phase 2 proof of concept requirements in detail. Looking forward to contributing to this ambitious AI platform.

@alluankit01

Hi, I can support Phases 1 and 2 of your Deep Agents/LangChain/LangGraph SaaS platform by reviewing the architecture, validating technical risks, and building a focused Super Agent proof of concept. The best solution is to begin with a technical audit of your existing specification, confirm the agent runtime, memory, checkpoints, tools, MCP/API connections, browser automation, RBAC, deployment model, and cost/security risks, then build a small but real POC showing durable task execution, tool use, memory, failure recovery, and human approval flow. I’m comfortable with Python, FastAPI, LangChain, LangGraph, Deep Agents-style workflows, PostgreSQL/pgvector, async workers, Docker, Playwright/browser automation, MCP/API integrations, LLM provider abstraction, SaaS architecture, audit logs, testing, and technical documentation. Deliverables for Phase 1–2 include: * Architecture audit notes * Risk and feasibility review * POC Super Agent workflow * Tool-calling and memory setup * Checkpoint/recovery logic * Basic approval flow * Docker-based setup * GitHub-ready code structure * Test and documentation notes * Indicative roadmap for MVP, pilots, and SaaS phases Indicative later phases can be estimated separately after the audit. I’ll focus on modular, provider-independent architecture with clean handover and no vendor lock-in. Best regards Ankit

@Abror86

< Hi — Abror-Yakubov here from Uzbekistan >, "TECHNICAL AUDIT & PROOF OF CONCEPT" — you need validation of architecture and a working Super Agent core. I have built a complex Python‑based device simulator with Docker and PostgreSQL, delivering a complete automated workflow on time (Modbus TCP Device Simulator Development). This shows I can handle the backend, async workers and persistent memory you require. An edge case to watch is keeping the memory layer portable across LLM providers; I will use pgvector with version‑locked schemas to stay provider‑agnostic. Do you have the existing architecture repository ready for me to review the current codebase? Looking forward to working with you.

@durgesh8527

As a seasoned full-stack developer with hands-on experience in Python, Docker, PostgreSQL, and SaaS architecture, I am confident that I possess the skills necessary to tackle your project. My expertise lies in building scalable solutions that emphasize performance, maintainability, and an orderly architecture - aspects that align perfectly with your project's vision of a durable and auditable system. In addition to my strong coding skills, I bring valuable knowledge in AI and automation; including LangChain/LangGraph, LLM integrations, NLP, and Generative AI. Part of this has involved developing enterprise-level chatbots and conversational agents; experiences that resonate with what you seek. I have achieved success through understanding business requirements upfront, meticulous code-writing to ensure productivity and orderliness, and proactive communication throughout each project phase. Let's discuss timelines and pricing details for Phase 1 and 2 while I provide you with a rough estimate for the remaining phases. As an added advantage, my willingness to store all code in your company's GitHub ensures safety and accessibility for future maintenance. Together we can create game-changing agents-platform solution you desire!

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom

@Lazarone1

Hi, I understand you are building an enterprise AI agent platform, not just a chatbot. The main challenge is creating reliable autonomous workflows with memory, tool calling, subagents, MCP integrations and a scalable SaaS architecture. I have experience with Python, FastAPI, PostgreSQL, Docker, AI integrations and backend systems. I can help with architecture validation, Super Agent PoC, LangChain/LangGraph workflows, persistent memory, API integrations and production-ready foundations. I focus on clean modular code, documentation and scalable design. I would like to review your technical specification and understand the first agent workflow you want to validate. Could you share your current architecture status and preferred LLM providers?

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. your project requirements perfectly match my expertise. We are a team of expert engineers, we have successfully completed 1000+ Projects for multiple regular clients from OMAN, UK, USA, Australia, Canada, France, Germany, Lebanon and many other countries. We are providing our services in following areas:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ MATLAB  Asterisks PBX  NS3 simulation  Linux We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.

@franciscoc540

Hi, I have 8+ years of experience building AI platforms, SaaS products, workflow automation systems, and scalable Python applications with LangChain, FastAPI, PostgreSQL, Docker, and cloud infrastructure. I understand you need a senior engineer to help build a durable enterprise agent platform, not a simple chatbot. I can lead the architecture audit, build the Super Agent proof of concept with persistent memory and tool orchestration, and prepare the foundation for a scalable multi-tenant SaaS. I’m comfortable working under NDA, using your GitHub organization from day one, delivering documented code with automated tests, and supporting phased milestone-based delivery. Best, Francisco

@andrem939

Hi there, I am a Full Stack Software Engineer with extensive experience in building AI-powered applications and scalable SaaS platforms. My proven expertise in AI integration and backend development makes me well-suited to successfully create your advanced enterprise agent system. This project is crucial for developing an autonomous and durable agent platform. I propose using Python with FastAPI for backend services and PostgreSQL for persistent memory. The key to success lies in modular architecture and thorough documentation, which I will ensure through automated tests and clear coding practices. My experience with LangChain and LangGraph will enable seamless integration of complex functionalities while maintaining simplicity for end users. Please send a message so we can discuss the details further. Looking forward to working with you. Thank you, Andre

@nguyenn303

Hi, I have strong experience building AI-powered platforms using Python, FastAPI, PostgreSQL, Docker, and modern LLM frameworks, with a focus on scalable, modular architectures. I can help validate your existing architecture, build the Super Agent proof of concept, and establish a solid foundation for a secure, multi-tenant SaaS with persistent memory, durable workflows, MCP integrations, browser automation, and comprehensive admin controls. I follow enterprise development practices with GitHub-based workflows, automated testing, documentation, CI/CD, and cloud-ready deployments. I'm happy to review your technical specification under NDA and provide a fixed quote for Phases 1–2, along with a phased roadmap, timeline, and estimates for the remaining stages.