About: I am an experienced Generative AI engineer who is also hands-on across the full stack. For the past couple of years I have been building RAG pipelines, AI agents, and natural language search with LangChain, LangGraph, and vector databases, using OpenAI, Anthropic, and Gemini models. I care about taking GenAI features beyond the demo and into production, where users rely on them every day.
Outside of AI, I build user interfaces in React and TypeScript, APIs in Python and Node.js, and deploy on AWS and Azure. I like owning a feature from start to finish and keeping the code simple.
If your team is building products with LLMs, I would be glad to talk.
About: I am a Generative AI Engineer who also happens to be pretty hands-on across the full stack development. Most of my recent work has been building RAG pipelines, AI agents, and natural language search — using LangChain, LangGraph, and vector databases like Pinecone and ChromaDB — with OpenAI, Anthropic, and Gemini APIs under the hood. I care deeply about shipping GenAI features that hold up beyond the demo stage.
Beyond GenAI, I am working on the full stack — React/TypeScript on the frontend, Node.js or ASP.NET Core APIs on the backend, and AWS/Azure for infra. I like owning things end-to-end and building software that's simple and reliable.
I keep checking on profile if there is any activity. Other than that I haven't used SO for long time. It does not even come up in the google search results. Taking to LLMs like gemini, chatgpt etc does solve the technical problems.
Agree. I used to enjoy the nerd or technical articles on how stuff works, why it is optimized for speed, why it is not secure etc...more on technical stuff and the startup world ecosystem. Now a days I only see breaking news type of articles which I can easily find in any other websites.
About: I am a Generative AI Engineer who also happens to be pretty handy across the full stack. Most of my recent work has been building RAG pipelines, AI agents, and natural language search — using LangChain, LangGraph, and vector databases like Pinecone and ChromaDB — with OpenAI, Anthropic, and Gemini APIs under the hood. I care deeply about shipping GenAI features that hold up beyond the demo stage.
Beyond GenAI, I am working on the full stack — React/TypeScript on the frontend, Node.js or ASP.NET Core APIs on the backend, and AWS/Azure for infra. I like owning things end-to-end and building software that's simple and reliable.
Yes, I use the bookmarks. While bookmarking I try to categorise a url with hashtags (e.g #javascript). This makes the search easier based on grouping of hashtags.
Instead of working for a large corporation. Try working for small to mid size companies where you get to wear many hats and interact with many departments. This can be exciting and may open to other opportunities.
Other option is to go self-employed contract roles where you can set hours and bill rates. You can opt to work part-time and full-time based on your work-life balance and simultaneously fulfil your entrepreneurial impulses.
Remote: Yes
Willing to relocate: No
About: I am an experienced Generative AI engineer who is also hands-on across the full stack. For the past couple of years I have been building RAG pipelines, AI agents, and natural language search with LangChain, LangGraph, and vector databases, using OpenAI, Anthropic, and Gemini models. I care about taking GenAI features beyond the demo and into production, where users rely on them every day.
Outside of AI, I build user interfaces in React and TypeScript, APIs in Python and Node.js, and deploy on AWS and Azure. I like owning a feature from start to finish and keeping the code simple.
If your team is building products with LLMs, I would be glad to talk.
Technologies:
Email: jainrasik.pro [at] gmail.comResume/CV: https://www.rasikjain.com/about/
LinkedIn: https://www.linkedin.com/in/rasikjain/
GitHub: https://github.com/rasikjain
Stack Overflow: https://stackoverflow.com/users/1993944/rasik-jain
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