Founding Applied AI Engineer at Devyani Food Industries Limited (DFIL)

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied AI, Machine Learning, Python, Deep Learning, LLM Fine-Tuning, Prompt Engineering, AI Compliance, Data Pipelines, APIs, Performance Monitoring, AI Solutions, Regulatory Standards, Collaboration, Product Mindset, Customer Interaction, Voice Agents

Industry

Description

About Kastle Kastle is building AI operating system for consumer lending, starting with mortgage. We work with some of America's largest mortgage lenders, helping them scale their contact center and compliance operations using AI-driven voice agents. Backed by $2.3M from Y Combinator, Commerce Ventures, and executives from Snapdocs, Google, and WePay, we are redefining lending with AI. About the Role As a Founding Applied AI Engineer, you'll be instrumental in building the technical foundation of Kastle's AI platform. You'll fine-tune large language models, design AI workflows for highly regulated enterprises, and ensure our voice agents deliver precise, compliant, and effective borrower interactions. This role is ideal for an engineer who is passionate about applied AI, eager to solve real-world challenges, and excited to build the technical foundation of an early-stage AI startup. What You'll Do AI Model Integration: Fine-tune and deploy LLMs for real-time voice-based borrower interactions Prompt Engineering: Design and iterate on prompt strategies to optimize AI performance and compliance Custom AI Solutions: Train and implement domain-specific AI models for mortgage servicing Scalability & Compliance: Ensure AI solutions meet regulatory standards (FDCPA, RESPA, TILA) and scale efficiently Data Pipelines & APIs: Build robust AI-driven workflows that integrate seamlessly with loan servicing platforms Continuous Optimization: Monitor performance metrics and continuously improve agent quality and borrower experience What We're Looking For 2+ years building and deploying ML/AI systems in production environments Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch) Hands-on experience fine-tuning LLMs (Llama, GPT, Claude) and deploying them at scale Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar) Track record of shipping AI products that real users depend on Strong product mindset and ability to translate business requirements into AI solutions Excellent communication skills to collaborate across product, engineering, and compliance teams Why join Kastle Build what banks run on: Your code powers real borrower interactions at top-10 mortgage lenders—live in production from day one Act like a founder: High ownership and autonomy with direct input on product, technical direction, and company culture Learn fast: Daily customer exposure with rapid feedback loops—see your work deployed within days Strong upside: Competitive salary, meaningful early-stage equity, and relocation support Great team: Work alongside founders and engineers from Verkada, NVIDIA, Apple, Intuit, and Redfin.

Responsibilities

As a Founding Applied AI Engineer, you will fine-tune large language models and design AI workflows for highly regulated enterprises. You will ensure that our voice agents deliver precise, compliant, and effective borrower interactions.