At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship

We are seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.

ASAPP’s AI Engineering team is seeking an enterprising, talented, and curious machine learning engineer. The AI Engineering team is responsible for working closely with the research and modeling teams to create state-of-the-art NLP models for specific tasks, and deploy them in a production setting designed to serve our customers at scale. We are looking for a machine learning engineer to help build and evaluate the core intelligence behind our agentic AI systems. This role will play a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems.

This is a hybrid role with 10-12 days of in-office presence per month to balance flexibility with collaboration.

What you'll do

Design and development of ML evaluation systems for agentic and LLM-based architectures
Translate research ideas into production-grade ML systems with measurable impact.
Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
Mentor and support other engineers through design reviews, feedback, and knowledge sharing.

What you'll need

Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems.
Strong architectural skills, with proven experience designing complex software systems along with production experience with Python, AWS, Kubernetes, and/or Docker.
Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning.
A Bachelor’s Degree in CS or other related fields.
Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others.

What we'd like to see

Experience building and evaluating agentic systems at scale.
Production experience with LLM-centric services (e.g., inference, orchestration, evaluation, monitoring)
Familiarity with large-scale ML experimentation, benchmarking, or simulation frameworks
Knowledge of techniques for optimizing model architectures for faster inference.
Experience with AWS, CI/CD, Kafka, Athena

Benefits

Competitive compensation
Stock options
ICICI Lombard General Insurance LTD
Onsite lunch & dinner stipend
Connectivity (mobile phone & internet) stipend
Wellness perks
Mac equipment
Learning & development stipend
Parental leave, including 6 weeks paternity leave

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-GP1 #LI-Hybrid

Apply now

See more open positions at ASAPP

Privacy policy Cookie policy