Senior AI Platform Engineer

About the Role :

We are looking for a highly capable Senior AI Platform Engineer to build and scale AI-native systems across backend, frontend, orchestration, cloud infrastructure, and deployment.

This is not a narrow backend-only or frontend-only role. We need someone who can design and build end-to-end AI products that work through chat, understand documents and structured files, generate outputs like PPTs, PDFs, reports, and content, manage long-running workflows, and run reliably in local-first as well as cloud-supported environments.

You will work on AI systems that combine LLMs, multimodal inputs, document intelligence, async processing, workflow automation, and production-grade interfaces.

What You Will Build :

You will help develop AI systems that can :

- Generate proposals, presentations, PDFs, reports, and structured outputs

- Understand product decks, SOWs, documents, spreadsheets, audio, images, and video

- Support chat-first workflows for task execution and customer interaction

- Search, retrieve, compare, and summarize knowledge across files

- Handle approval-based actions, status tracking, and communication history

- Run long workflows using queues, workers, retries, and progress tracking

- Support multimodal AI pipelines and insight generation

- Execute, validate, and improve AI-generated code or workflows

- Deploy reliably using Docker and cloud infrastructure

Key Responsibilities :

- Design and build AI-native applications across backend, frontend, and infrastructure

- Build robust APIs and orchestration layers for LLM-based systems

- Develop chat-first product experiences for users and admins

- Create pipelines for document ingestion, retrieval, parsing, reasoning, and generation

- Work with PDFs, DOCs, CSV, Excel, images, audio, and video as structured inputs

- Build modular services for content generation, retrieval, reporting, and automation

- Implement task queues, background workers, retries, job tracking, and async workflows

- Containerize and deploy systems using Docker and cloud platforms

- Build secure systems with access control, role-based logic, and audit-friendly flows

- Optimize system performance, reliability, and maintainability

- Collaborate on architecture, product direction, and production rollout

Must-Have Skills :

- Strong backend engineering experience in Python

- Strong frontend development experience with modern web frameworks

- Experience building AI/LLM-powered applications

- Experience with Docker and containerized deployments

- Experience with cloud platforms such as AWS, GCP, or Azure

- Ability to build full-stack systems end to end

- Strong API design and service architecture skills

- Experience with async processing, queues, workers, and retry-based workflows

- Experience handling multimodal inputs such as documents, images, spreadsheets, audio, or video

- Strong understanding of structured data handling and document processing

- Comfortable building systems that are modular, production-ready, and scalable

Preferred Skills :

- FastAPI or similar Python API framework

- React, Next.js, or similar frontend stack

- Experience with local or self-hosted LLMs

- Prompt orchestration and tool-calling workflows

- RAG, retrieval systems, and knowledge-based chat interfaces

- OCR, transcription, or media-processing pipelines

- PPT, PDF, and report generation workflows

- Role-based access systems, versioning, and file intelligence

- WebRTC or real-time streaming experience

- Experience validating and executing AI-generated code or workflows

What We Are Looking For :

- Someone who can think like a product builder, not just a coder

- Someone who understands both engineering depth and user workflow design

- Someone comfortable working across AI, backend, frontend, DevOps, and delivery

- Someone who can take ambiguous requirements and convert them into working systems

- Someone who values modular architecture, correctness, reliability, and speed

Nice-to-Have Experience :

Experience building systems such as :

- AI sales assistants

- AI document or knowledge retrieval platforms

- AI marketing automation systems

- Course or content generation platforms

- LLM-driven agent systems

- Workflow engines with human approval loops

Job Type : Full-time

Work Location : In person