Serve as a technical lead and architect, driving the design and implementation of scalable SaaS applications with integrated AI/ML capabilities.
Partner with engineering and product leaders to align platform architecture with business goals and customer needs.
Design and evolve application architecture for production readiness, including scalability, reliability, and observability.
Guide the selection and integration of generative AI and ML technologies (e.g., LLMs, vector databases, fine-tuning frameworks) into application workflows.
Collaborate with ML research teams to scope and implement fine-tuning or reinforcement learning (RLHF/RLAIF) strategies when needed.
Provide technical mentorship and leadership across engineering teams.

Requirements

15+ years of experience in full-stack software development, with a strong focus on customer-facing SaaS platforms.
Proven success in designing and scaling distributed systems and cloud-native applications
Strong understanding of architectural principles for production systems, scalability, reliability and monitoring.
Experience integrating generative AI/ML technologies into applications
Experience with LLM APIs (Azure OpenAI, Amazon Bedrock)
Understanding of vector search (ElasticSearch, MongoDB, Pinecone)
Awareness of fine-tuning techniques (e.g., RLHF, LoRA, PEFT)
Ability to scope and direct lightweight model customization
Expert-level proficiency in modern web technologies and component libraries (Lit, React)
Deep backend engineering experience for highly-scaled, horizontally deployed microservices (Python, NodeJS, Kubernetes)
Excellent communication and storytelling skills to convey technical vision across teams and leadership.
Track record of multi-functional collaboration and technical leadership.

Benefits

Comprehensive benefits programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

full-stack software developmentSaaS applicationsdistributed systemscloud-native applicationsgenerative AImachine learningLLM APIsvector searchbackend engineeringmicroservices

Soft Skills

technical leadershipcommunication skillsstorytelling skillscollaborationmentorship