Senior Principal Full-Stack AI Engineer

Remote — India Preferred (global applicants welcome)

If you haven’t built and scaled an AI-powered product from 0-1 to meaningful ARR, iterated LLM prototypes into production software, and shipped products end-to-end that have at least 500 k+ concurrent users, this role isn’t for you. We’re looking for a senior builder who writes production code every day, lives inside Cursor and Windsurf, and thrives in ultra-fast startup loops. Our AI company has been around for 5+ years and is scaling aggressively in the financial data and primary market research spaces.

About The Company

Our client is an AI tech startup (5+ years old) specializing in financial datasets. The company utilises human in the loop workflows with proprietary software that ingests large audio and text datasets—earnings-call recordings, research transcripts, market data feeds—and produces structured outputs used in market-intelligence workflows. They are rapidly scaling into the financial services sector, which represents a significant growth opportunity, and are seeking a technical leader to spearhead this initiative.

Role Overview

Senior Principal Full Stack Engineer

The position is 80% hands-on development and requires high proficiency with Cursor, Windsurf or an equivalent IDE.

Key Responsibilities

1. AI Product Development for Financial Services

• Architect and develop specialized AI solutions for financial document transcription, analysis, and processing

• Design and implement custom RAG systems optimized for financial terminology and document structures

• Build secure, compliant, and auditable AI pipelines that meet financial industry standards

• Lead the development of our financial services product roadmap from concept to significant revenue

2. Strategic Technical Leadership

• Partner with the CEO and leadership team on technical strategy and execution

• Identify innovative applications of AI technology in financial due diligence, reporting, and analysis

• Translate strategic objectives into technical requirements and implementation plans

• Drive cross-functional alignment on technical priorities and resource allocation

3. Hands-On Implementation & Engineering Excellence

• Write production-level code in Python and other relevant languages for our financial services solutions

• Implement scalable AI architectures, retrieval systems, and real-time processing workflows

• Design cloud-native infrastructure that meets the security and compliance requirements of financial institutions

• Guide engineering teams on best practices for financial AI application development

4. Financial Services Domain Expertise

• Apply deep understanding of financial services workflows to inform technical solutions

• Ensure our AI systems meet regulatory requirements for financial data processing

• Architect solutions that integrate seamlessly with existing financial technology stacks

• Develop features that address specific pain points in financial document management and due diligence

5. Team Enablement & Organizational Impact

• Serve as a technical advisor to the CEO on AI strategy and financial services opportunities

• Mentor engineering teams on AI implementation and financial domain knowledge

• Foster a culture of engineering excellence and continuous innovation

• Represent the company's technical capabilities with key financial services clients and partners

Who You Are

• You have founded or been an early engineer at a startup that scaled from 0-1 to significant ARR
• You have deep experience implementing LLM and RAG solutions in production environments
• You understand the financial services landscape and have built technical solutions for this sector
• You are a hands-on technical leader who codes regularly while providing strategic direction
• You thrive in a fast-moving, high-impact environment and are comfortable with ambiguity

Qualifications

1. Technical Expertise

10+ years

• Proven track record implementing production-grade LLM and RAG solutions

• Daily user of Cursor and Windsurf; comfortable scripting custom extensions.

• Very competent understanding of MCP and experiencing build integrations with major LLMs

• Strong coding abilities in Python (Sanic); React (MUI) and other relevant frameworks

• Experience with secure cloud infrastructure (AWS, GCP, Azure) for financial applications

• Knowledge of vector databases (FAISS, Pinecone, Weaviate) and optimization techniques

2. Financial Services Experience

• Direct experience building technology solutions for financial institutions

• Understanding of financial due diligence processes and documentation requirements

• Knowledge of compliance and security considerations in financial technology

• Experience with financial document processing, extraction, and analysis

3. Startup & Leadership Experience

• Proven success scaling a product from concept to significant revenue

• Experience in high-pace organisations (YC or equivalent) is preferred.

• Comfortable working asynchronously across time zones.

• Strong bias toward clear documentation and direct feedback.

• Experience leading technical teams in fast-paced environments

• Strategic thinking balanced with hands-on execution capabilities

• Track record of shipping products that deliver measurable business value

What We Offer

• A strategic leadership role shaping the future of AI applications in financial services
• A rapidly growing startup with significant expansion plans
• Direct collaboration with the CEO on company vision and technical strategy
• Competitive compensation
• Flexible, remote-friendly work environment

How to Apply

Please submit your resume and a cover letter that specifically addresses:

1. Your experience scaling AI products from 0-1 to significant revenue
2. Your hands-on implementation of LLM/RAG solutions in production (Add a short note describing one LLM prototype you moved to production and the measurable result. Applications are reviewed weekly.)
3. Your background in financial services and understanding of the due diligence ecosystem

If you are passionate about building AI-native products for financial services and driving innovation in a high-growth startup, we'd love to hear from you!