Remote: Yes

Willing to relocate: Yes

Technologies: Python, FastAPI, LLMs, Generative AI, RAG, AI Agents, LangChain, LangGraph, OpenAI, Anthropic Claude, Vector Databases, Pinecone, Weaviate, pgvector, PyTorch, AWS, Azure, GCP, Docker, Terraform, React, Next.js, TypeScript, Node.js, PostgreSQL

Résumé/CV: https://drive.google.com/file/d/1EEGGnk9IxTkRLF4-JgfDkESL3Oe...

Email: jzachariah940@gmail.com

Summary: Senior AI Engineer with 8+ years of experience building and deploying production AI and full-stack applications. Strong focus on Generative AI, LLMs, RAG, AI agents, multimodal AI, and real-time conversational systems.

I have hands-on experience building production RAG pipelines, AI agents, voice AI systems, LLM applications, and scalable backend services using Python and FastAPI. I have also worked extensively with AWS, Azure, and GCP, along with vector databases and modern LLM tooling.

Most recently, I worked on AI-powered clinical applications, including real-time voice assistants, transcription, clinical summarization, RAG systems, and workflow automation.

I'm looking for Senior AI Engineer, Senior Applied AI Engineer, AI Platform Engineer, or Senior AI/ML Engineer opportunities where I can build production-grade AI systems and work on challenging LLM, RAG, and agentic AI problems.

Remote: Yes

Willing to relocate: Yes

Technologies: Python, FastAPI, Java, Spring Boot, React, Next.js, TypeScript, Node.js, LangChain, LangGraph, OpenAI, RAG, AI Agents, LLMs, Vector Databases (pgvector, Pinecone, Weaviate), Semantic Search, Whisper, Deepgram, LiveKit, AWS (Bedrock, SageMaker, Lambda), Azure OpenAI, GCP Vertex AI, PostgreSQL, MongoDB, Docker, CI/CD

Résumé/CV: https://drive.google.com/file/d/1f0aYmJxWozrWeXMf8ST6QDM-038...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building production-grade AI applications, LLM-powered products, and cloud-native platforms. I specialize in Generative AI, RAG systems, AI agents, conversational AI, and real-time voice applications using OpenAI, LangChain, LangGraph, and modern vector databases. My background spans Python, FastAPI, React, Next.js, Node.js, Java, and AWS/GCP/Azure, with extensive experience designing scalable, low-latency AI services from prototype to production.

Most recently, I built multimodal AI assistants for healthcare, including real-time transcription, clinical documentation automation, semantic search, and HIPAA-compliant AI workflows serving thousands of users. I'm passionate about building practical AI products that combine strong backend engineering with intuitive user experiences, and I'm interested in opportunities involving AI infrastructure, agentic systems, LLM platforms, and full-stack AI product development.

Remote: Yes (Open to US-based remote roles)

Willing to relocate: Yes

Technologies: Python (FastAPI, Flask), Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, WebSockets, AWS (Lambda, SageMaker, Bedrock), Azure, GCP, Docker, Generative AI, LLMs, RAG, Vector Databases, Whisper, Deepgram

Resume: https://drive.google.com/file/d/1lu2h-V_zqEHKqFuopnZEZmzMUpV...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building scalable, production-grade applications. Specialized in real-time AI systems, LLM-powered products, and low-latency backend services. Recently built voice-enabled AI assistants handling real-time transcription and automated clinical documentation for thousands of users. Strong background across full-stack development, cloud infrastructure, and modern AI tooling. Focused on delivering reliable, high-impact systems that solve real-world problems.

Remote: Yes (Open to US-based remote roles)

Willing to relocate: Yes

Technologies: Python (FastAPI, Flask), Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, WebSockets, AWS (Lambda, SageMaker, Bedrock), Azure, GCP, Docker, Generative AI, LLMs, RAG, Vector Databases, Whisper, Deepgram

Resume: https://drive.google.com/file/d/1lu2h-V_zqEHKqFuopnZEZmzMUpV...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building scalable, production-grade applications. Specialized in real-time AI systems, LLM-powered products, and low-latency backend services. Recently built voice-enabled AI assistants handling real-time transcription and automated clinical documentation for thousands of users. Strong background across full-stack development, cloud infrastructure, and modern AI tooling. Focused on delivering reliable, high-impact systems that solve real-world problems.

Remote: Yes (Open to US-based remote roles)

Willing to relocate: Yes

Technologies: Python (FastAPI, Flask), Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, WebSockets, AWS (Lambda, SageMaker, Bedrock), Azure, GCP, Docker, Generative AI, LLMs, RAG, Vector Databases, Whisper, Deepgram

Resume: https://drive.google.com/file/d/1lu2h-V_zqEHKqFuopnZEZmzMUpV...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building scalable, production-grade applications. Specialized in real-time AI systems, LLM-powered products, and low-latency backend services. Recently built voice-enabled AI assistants handling real-time transcription and automated clinical documentation for thousands of users. Strong background across full-stack development, cloud infrastructure, and modern AI tooling. Focused on delivering reliable, high-impact systems that solve real-world problems.

Remote: Yes (Open to US-based remote roles)

Willing to relocate: Yes

Technologies: Python (FastAPI, Flask), Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, WebSockets, AWS (Lambda, SageMaker, Bedrock), Azure, GCP, Docker, Generative AI, LLMs, RAG, Vector Databases, Whisper, Deepgram

Resume: https://drive.google.com/file/d/1lu2h-V_zqEHKqFuopnZEZmzMUpV...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building scalable, production-grade applications. Specialized in real-time AI systems, LLM-powered products, and low-latency backend services. Recently built voice-enabled AI assistants handling real-time transcription and automated clinical documentation for thousands of users. Strong background across full-stack development, cloud infrastructure, and modern AI tooling. Focused on delivering reliable, high-impact systems that solve real-world problems.