Hire the Top 2% of
Remote Ai Agentic Workflows Developers

Sohini M.

Ai agentic workflows developer in India (UTC+6)

I’m a seasoned backend and full-stack developer with over 10 years of experience building scalable, high-performance applications across AI, data, and enterprise platforms. My core strengths lie in backend engineering using Python, JavaScript (Node.js), and SQL, with deep expertise in architecting robust APIs, data pipelines, and distributed systems. I’ve worked extensively across diverse stacks and tools—quickly adapting to evolving technologies and project requirements. In recent years, I’ve contributed to and led the development of AI/ML-powered applications, data-driven platforms, and cloud-native services, often combining deep backend logic with lightweight front-end work (React, HTML/CSS) to deliver end-to-end solutions. I am highly proficient in integrating third-party services, designing microservices, and optimizing backend infrastructure for performance and scalability. Alongside my technical delivery, I’ve also worked in leadership roles, currently managing engineering teams at Salesforce. However, I remain deeply hands-on and passionate about solving real-world problems through code. I’m now focused on building a remote-first freelance practice—offering backend development, AI/data engineering, and full-stack solutions to clients who value quality, speed, and technical insight. My aspiration is to contribute meaningfully to challenging freelance projects that align with my strengths in backend systems, AI, and data, while offering the flexibility and autonomy of remote collaboration.

Lovish J.

Vetted Ai agentic workflows developer in India (UTC+6)

Hi, I’m Lovish — a seasoned software developer and tech leader with 9 years of experience collaborating with startups and founders. I specialize in mobile development, AI, data analytics, product strategy, and team building. If you’re looking for a versatile expert who can code, lead, and deliver, let’s connect.

govardhan N.

Ai agentic workflows developer in the United Kingdom (UTC-7)

check out my work at https://github.com/govardhan27

Swaraj B.

Ai agentic workflows developer in India (UTC+6)

As an AI Engineer with specialized expertise in LLM-powered systems, I bring substantial value to organizations through my proven track record of building and optimizing intelligent solutions. Throughout my career, I've consistently delivered impactful results by developing and deploying production-ready multi-agent systems that significantly enhance operational efficiency. I've demonstrated this by creating stable multi-agentic systems with Claude Haiku, Langgraph and AWS that automated procurement evaluation workflows, and by engineering innovative solutions that reduced costs by 90% while achieving superior performance. My technical problem-solving abilities have transformed underperforming systems into high-functioning assets, as evidenced by enhancing RAG system retrieval accuracy from 40% to 83.5% through my implementation of Hybrid Search, Semantic Chunking, and Structured Data Extraction techniques. I excel in optimizing infrastructure and executing complex migrations, having successfully transitioned complete AI service suites from AWS to Azure with improved architecture and created cloud-agnostic services using Docker. My contributions extend beyond technical implementation to include mentorship and leadership, where I've guided new team members through complex LLM concepts and led DevOps outsourcing while safeguarding proprietary software. My commitment to ethical AI development is reflected in my proactive research and implementation of best practices for responsible multi-agent systems. With my comprehensive background in AI engineering—spanning development, deployment, optimization, and leadership—I consistently deliver solutions that drive measurable business value while adhering to the highest technical and ethical standards.

Amit J.

Vetted Ai agentic workflows developer in India (UTC-7)

Experienced **AI/ML Lead Engineer with 12+ Years** of Innovation and Leadership I bring over a decade of experience in AI and machine learning, specializing in building impactful solutions using Generative AI and Large Language Models (LLMs). Currently, I lead a skilled team of AI engineers and developers, where we tackle complex challenges and create transformative applications. **Key Highlights:** AI-Powered Chatbot Development: Designed and deployed advanced chatbots using **Generative AI** and **LLMs**, including a comprehensive HRMS chatbot that streamlines operations and enhances employee engagement. Client-Focused POCs: Delivered successful proofs of concept (POCs) for notable clients like Dr. Reddy, Bay Alarm, and Main Court, showcasing innovative AI solutions tailored to each client’s needs. Open-Source AI on Cloud: Leveraged open-source models, deploying them on cloud platforms to build scalable, robust Generative AI applications. Technologies and Tools: With hands-on expertise in OCR, RAG pipelines, OpenAI, LLMs, and NLP, I enjoy pushing the boundaries of AI to deliver practical, high-impact solutions that drive business results. I’m passionate about exploring the latest advancements in AI and i am always open to connecting with professionals and companies aiming to transform their operations through intelligent, data-driven solutions.

Yong T.

Ai agentic workflows developer in the United States (UTC+9)

I’m a Technical Founder and Full Stack Engineer with 20+ years of experience building scalable SaaS platforms, leading cross-functional teams, and delivering AI-powered solutions. As Co-Founder & CTO of Haola Technology, I architected and launched health data systems used by over 50 insurance companies, serving millions of users. Recently, I led the development of an AI agent framework at a U.S. startup, integrating cutting-edge LLM techniques such as tool calling, RAG, and RLHF. My work spans industries including insurance, healthcare, energy, and telecom. I thrive on turning complex ideas into real-world systems that scale and deliver impact.

Emmanuel T.

Ai agentic workflows developer in Japan (UTC+9)

I am a Python Developer and Data Scientist with experience in various projects. I have worked on API development, application creation, and data analysis using Python. I have also worked with AWS services, such as Lambda and S3, and have experience in CI/CD and cloud deployment. Additionally, I have expertise in custom chatgpt chatbot, NLP, sentiment analysis, and web scraping. I have a scientific background with a focus on physics, chemistry, and neuroscience. In my free time, I enjoy bouldering. I am fluent in French, English, and a bit Japanese.

Fahad H.

Ai agentic workflows developer in Pakistan (UTC+5)

Spent 8+ years in building AI solutions for Fintech, Healthcare, Ecommerce and Software Development industries. AI Research Engineer working with PhDs, contributing to data and AI advancements, with published research in the intersection of AI and Quantitative Finance. Transformed raw data into revenue-generating insights, helping clients dominate their markets. Mastered Data Analytics, Business Intelligence, Agile and Data Engineering domains.

Ganapathy S.

Ai agentic workflows developer in India (UTC+6)

Over the past few years, I’ve had the opportunity to lead and contribute to several initiatives at the intersection of Generative AI, NLP, and Agentic AI. Currently, I serve as the **Chief AI Architect at TensorHub Technologies**, where I designed and developed **THub**, a low-code platform that enables rapid development of AI agents using **LLMs**, **Retrieval-Augmented Generation (RAG)**, **vector databases**, and tool integration. This platform has been successfully used to build GenAI applications across industries including manufacturing, automotive, and global textile supply chain management. In terms of **Generative AI**, I’ve worked extensively with leading LLMs such as GPT-4/4o, Gemini, Claude, and LLaMA, applying them to real-world use cases ranging from customer service agents to advanced document intelligence solutions. My work includes prompt engineering, fine-tuning, and parameter-efficient tuning, as well as integrating **multimodal** and **diffusion models** into production-ready systems. My experience with **RAG** has been particularly impactful in enterprise environments, where I’ve architected solutions that combine vector search engines like Pinecone, Weaviate, and Chroma with LLMs to enable context-aware, accurate, and efficient knowledge retrieval—improving both the relevance and explainability of AI responses. On the **NLP** front, I’ve not only built NLP-powered systems but also provided **advanced technical training to developers, ML engineers, and architects** on key NLP topics. I’ve trained over **2,000 professionals** through corporate programs with institutions like ISB, IIM Kozhikode, Deloitte, and others. When it comes to **Agentic AI**, I’ve architected **multi-agent systems** that operate autonomously across tasks, leveraging frameworks like Langchain and LlamaIndex. These agents are capable of decision-making, memory retention, and tool usage—enabling a new class of enterprise automation solutions. Overall, my focus has been on translating advanced AI research into business value, leading innovation both as a technology architect and as a corporate educator. I bring a strong blend of technical depth and strategic vision to any role involving AI innovation and adoption.

abdul M.

Vetted Ai agentic workflows developer in India (UTC-7)

I am a results-driven, innovation-focused professional with over 9 years of experience delivering transformative solutions in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Intelligent Automation. I have consistently applied cutting-edge research and advanced technologies to solve complex business challenges across industries like recruitment, finance, healthcare, and IT operations. Recognized for building scalable, production-grade AI systems, I’ve been honored with accolades such as the “GenAI Rockstar” award and Best Performer of the Year (twice), reflecting both my technical depth and strategic impact. Primary Language: Python (AI/ML development, agent orchestration, NLP, computer vision) Automation Scripting: PowerShell (enterprise-grade IT automation, VDI migration, system operations) Agent-based Systems: Multi-agent workflows, dynamic planning, and orchestration using LangChain, LangGraph, and CrewAI. LLMs & Prompt Engineering: Prompt chaining, memory handling, and instruction-tuned interfaces using GPT-4, GPT-4o, LLaMA, Claude, etc. Retrieval-Augmented Generation (RAG): Integrated solutions using vector databases (e.g., Qdrant) for intelligent retrieval and inference. Predictive Modeling & Sentiment Analysis: Built models for forecasting, behavioral prediction, and user profiling.