Hire the Top 2% of
Remote Conversational AI Developers

Vageesh D.

Conversational AI developer in the United States (UTC-7)

Results-driven engineering leader with 20+ years of experience in AI/ML, Conversational AI, Cloud Infrastructure, and Enterprise Software Development. Proven track record of building and scaling teams, driving AI innovation, and optimizing cloud costs. Strong expertise in LLM-powered solutions, RAG-based Q&A systems, and Virtual Assistant platforms. Adept at leading cross-functional teams to deliver high-impact AI solutions at scale. * AI/ML & Generative AI: RAG-based Q&A, LangChain, AutoGen, LlamaIndex, LLM Inference (vLLM, LiteLLM) * Conversational AI & NLP: Virtual Assistant Development, Intent Classification, Embedding Models * Software Development: JavaScript, Node.js, React, Redux, Kubernetes, CI/CD Pipelines * Cloud & MLOps: Kubernetes, MLFlow, Prompt Management, Cloud Cost Optimization (GCP, Azure) * Enterprise Engineering: Business Messaging, UI Frameworks, Accessibility, Security & Compliance

Guy T.

Vetted Conversational AI developer in Canada (UTC-4)

Seasoned backend engineer with 10+ years of experience designing and developing large-scale software products. Specialized in building end-to-end data pipelines, AI/ML integrations, and secure messaging platforms with a focus on production-ready solutions. Expert in cloud infrastructure (AWS, Azure), modern web technologies (React, Node.js), and conversational AI implementations. Committed to delivering high-quality, well-tested code with automated infrastructure through CI/CD pipelines and IaC practices using Terraform and Bicep. Proven track record in optimizing performance and scaling applications. Available for challenging projects requiring secure architecture design and maintainable software implementation.

Thomaz S.

Conversational AI developer in the United States (UTC-5)

I am a Senior AI and Backend Engineer with over 10 years of experience in designing scalable backend systems and integrating advanced solutions in generative AI, computer vision, CCAI and machine learning. My expertise spans database management, API development, cloud infrastructure, and performance optimization, with a strong focus on improving user experience. I have a strong history of using machine learning frameworks, generative AI models, and third-party APIs to create innovative solutions that address the unique needs of various industries. I collaborate closely with cross-functional teams to turn business requirements into actionable technical specifications and ensure security and compliance standards are met. I am highly dedicated to driving continuous improvements in technology processes and helping businesses leverage cutting-edge technology to achieve their goals.

Nicolas D.

Vetted Conversational AI developer in Taiwan (UTC+8)

I bring over 17+ years of experience in software architecture, design, and development, specializing in cloud computing, rapid prototyping, machine learning, and generative AI. I’ve built and scaled robust desktop, web, and mobile applications for a variety of industries. In my recent work, I’ve been focused on driving AI-powered solutions for communication and collaboration. Previously, I contributed to the development of the next-gen Adobe Express platform as a software architect at Adobe. I also led transformative projects at Autodesk, where I helped innovate on the Autodesk Forge platform and Tinkercad. I’m an expert in Python, Node.js, C++, 3D / Computer Grahics and AWS services, with deep experience in developing scalable, high-performance applications.

Rob S.

Vetted Conversational AI developer in the United States (UTC-5)

Howdy! I'm Rob and I solve problems. ✅ I am a startup founder and entrepreneur, career long startup technical leader (early employee at Twilio, Boxee and many others) and full stack developer with 15 years of Python, the last 7 of which in machine learning and artificial intelligence. My favorite problems are short term, high impact challenges that yield new valuable insight, automate the previously impossible or transform your customer's success. As a racing driver, I love bringing urgency and speed to all adventures on and off track. Skills and Experience: 🤖 Extensive production use of state-of-the-art large language models (LLMs) like GPT-4o/o1/o3-mini, Gemini Flash 2.0, DeepSeek R1, Llama 3, Claude 3.5 Sonnet/Opus, Mistral, and Qwen. 👷 Deployed AI projects with frameworks like LangChain, LlamaIndex, Claude Computer Use 🗿 Custom modeling using training, fine tuning, reinforcement learning, Hive, Scale, Databricks and more 🤹 Multi-agent solutions with Claude Computer Use, CrewAI, Agno, OpenAI Swarm and LangGraph 📡 Data collection and web scraping in adversarial conditions using Scrapy, AgentQL, BrowserBase, captcha solving, bot evasion 👀 Proven computer vision experience with OpenCV, YOLO, Stable Diffusion, Flux and more 💰 Driven significant reduction in token consumption, training and inference compute with fine tuning, quantization, Langtrace, Unsloth, OpenRouter, and NotDiamond 🎱 Discovering new insights with data visualization, matplotlib, SeaBorn, D3, billboard.js, 🚚 Delivering full stack production software with Python, Vue 3, JavaScript / TypeScript, Next.js, Nuxt.js, Tailwind, and more 📼 Production experience with Postgres, MySQL, Pinecone, LanceDB, MongoDB, BigQuery, DynamoDB, Firebase, Snowflake, or Clickhouse 📞 Deep experience in voice platforms Twilio, Vonage, AssemblyAI, ElevenLabs, and Gemini Realtime ☁ Deploy to AWS, GCP, Azure, DigitalOcean, Linode, or rack and stack your own gear Achievements: 🔔 Took Twilio's developer GTM from 13k developers to 1.7 million - Series A to ringing the bell at the NYSE 🏆 Transitioned Darpa Memex project Tellfinder with District Attorney of New York 🤑 CTO of first startup (BZ Results) acquired by ADP for $125M ⚾ Earned $3.9k with custom fantasy baseball bot Community: 🎤 Speaker at dozens of conferences internationally, US, UK, CA, France, Germany, Czech Republic, Spain, Ireland, Portugal, China, India 💻 Multiple hackathon winner and organizer like Music Hack Day, Game Hack Day, TechCrunch Disrupt, and more 🏁 Autocross and spec Miata driver, driver in first team to cross the United States in under 24 hours Let's prototype fast, iterate quickly and ship solutions now. What problem are you trying to solve?

Amitabh J.

Conversational AI developer in India (UTC-8)

Architected and executed cloud solutions on AZURE, AWS and GCP based on Well Architect Framework, enhancing scalability and resilient Architecture. Good Knowledge on Azure Integration Services(Azure Logic Apps,Azure Service Bus, Azure Event Hub,Azure EventGrid,Azure Functions) Good Knowledge on Azure Analytics Service(Azure Data Factory,Azure synapse and BI ) Managed Kubernetes clusters, achieving 99.9% system uptime and a 75% reduction in deployment time. Automated Azure CI/CD with Artifactory and Terraform. Implemented IaC using Terraform streamlining cloud service provisioning and management. Good Knowledge of ReactJS(Next.JS), Javascript,HTML for UI Led Azure DevOps teams in automating processes, improving deployment frequency by 70%. Developed and tested disaster recovery plans to ensure rapid recovery and continuity of operations in the event of system failures or cyber incidents. Conducted thorough Security Risk/Threat Analysis assessments to identify and mitigate potential security risks and threats, ensuring robust protection of sensitive information and systems. Developed and implemented comprehensive vulnerability management programs, performing regular scans, assessments, and remediation actions to maintain a secure IT environment. Designed and deployed high-availability architectures to ensure system reliability and minimal downtime, supporting critical business operations. Experience in AI Multi-Modal with parameter optimization techniques and programming skills. Experience in SDLC of multiple .Net projects. Large Language Models (LLM) Expertise: Skilled in developing and deploying LLM-powered applications to drive intelligent automation and enhanced user experiences. CI/CD Integration: Adept at integrating Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate build, test, and deployment processes, ensuring faster and more reliable releases.

Farid H.

Vetted Conversational AI developer in Azerbaijan (UTC+4)

Experienced professional with over 6 years of expertise in designing and deploying innovative AI solutions. Skilled in fine-tuning and inferencing Large Language Models (LLMs) using advanced prompting techniques and Retrieval-Augmented Generation (RAG). Proficient in developing and optimizing models for tasks such as Named Entity Recognition (NER), classification, and valuation. Also Expertise includes: Building end-to-end ML pipelines leveraging tools like MLflow, Prefect, and Weights & Biases (W&B). Creating efficient inference systems using FastAPI and Docker. Designing experimental user interfaces with Streamlit for seamless interaction with AI models.

Vishnu G.

Vetted Conversational AI developer in India (UTC+6)

I am a self-taught, creative engineer with expertise in multiple domains including software, electronics, embedded systems, and mechanical engineering. I thrive on cross-domain projects, leveraging my skills and knowledge to solve complex problems from unique angles. I enjoy tinkering with technology, experimenting with DIY projects, and collaborating with others to bring ideas to life. I am ambitious and driven, always seeking to push the boundaries of what is possible through the creative application of engineering principles.

Juan G.

Vetted Conversational AI developer in Sweden (UTC+1)

Extensive experience in web development and web technologies, search engine optimization, Agile methodology,software development lifecycle,software design.Teambuilding, recruiting and training. Software Developer skilled a technical leadership, Experienced in full projectlife cycle from design to implementation to integration.

Zachary J.

Vetted Conversational AI developer in the United States (UTC-5)

I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing.  These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining.  Applications included lead source QC, price/value prediction, and matching.  Other applications included regression modeling for attentional measures and content.  Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey.   I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience.  I also developed large data warehousing and CDP modeling at Even Financial.   Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity.  Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.