About Us
PrismML builds high-performance foundation models designed to run efficiently across a wide range of environments—from edge devices to large-scale deployments. Our work spans models from ~1B to 100B+ parameters across LLMs, diffusion models, and other modalities, with a strong focus on scalable training, efficient inference, and real-world deployment. Today, that means a 27B-class model that runs on a phone in about 4 GB, down from roughly 54 GB at full precision.
Our Bonsai family of 1-bit and ternary models is designed to dramatically improve the efficiency of modern AI systems, enabling advanced intelligence to run with significantly lower memory usage, latency, and energy consumption across cloud and edge environments.
Role Overview
We are seeking a Senior-level (or higher) AI/ML engineer with expertise in applied AI and customer-facing engineering to help customers successfully adopt Bonsai models and platform technologies. This role focuses on translating business problems into AI solutions by designing solution architectures, building prototypes, integrating AI into customer environments, and partnering closely with product, engineering, sales, and go-to-market teams.
You will work directly with prospective and existing customers to accelerate AI adoption while providing critical feedback that shapes our products and platform.
Responsibilities
You will design, build, and deploy AI solutions that solve real customer problems. Core responsibilities include:
- Working directly with prospective and existing customers to understand business challenges and translate them into AI solutions
- Designing solution architectures that integrate Bonsai models with customer applications, APIs, data sources, and existing infrastructure
- Building prototypes and proof-of-concepts that demonstrate the value of Bonsai models for customer use cases
- Collaborating closely with product, engineering, sales, and go-to-market teams throughout the customer engagement lifecycle
- Gathering customer feedback and translating field learnings into product improvements and engineering priorities
- Helping develop reusable solution patterns, implementation guides, and best practices for future customer deployments
Basic Qualifications
You bring strong engineering skills together with the ability to solve customer problems using AI:
- 5–8+ years of experience in software engineering, AI/ML engineering, solutions engineering, or related fields
- Strong programming skills in Python and experience building production-quality software systems
- Hands-on experience building AI/ML applications using LLMs or multimodal models
- 3-5+ years of experience working directly with customers or external stakeholders to gather requirements, lead technical discussions, and deliver AI solutions
- Ability to independently lead customer engagements, balancing technical validation with rapid prototyping and solution development
- Experience designing APIs, integrating cloud services, and building end-to-end software solutions
- Solid understanding of cloud infrastructure, distributed systems, and modern software architectures
- Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Proven ability to collaborate across engineering, product, and customer-facing teams
Preferred Qualifications
You have additional experience aligned with customer-facing AI engineering and enterprise deployments:
- Experience working directly with enterprise customers to design and deploy AI solutions, including hands-on work with inference runtimes such as vLLM and llama.cpp
- Experience building prototypes, proof-of-concepts, or production AI applications using modern LLM frameworks
- Familiarity with cloud platforms, containerized deployments, APIs, and modern software integration patterns
- Experience evaluating tradeoffs between model quality, latency, throughput, and infrastructure cost
- Experience working with retrieval systems, agents, tool calling, or multimodal AI applications
- Familiarity with the constrained environments of privacy-sensitive customers, including on-premises, air-gapped, and no-egress deployments
- Familiarity with AI evaluation methodologies and production monitoring
- Contributions to open-source AI projects, developer tooling, or customer-facing AI platforms
Ideal Candidate Profile
You enjoy solving difficult customer problems with technology and thrive at the intersection of engineering, product, and business. You are equally comfortable discussing architecture with engineers, gathering requirements from business stakeholders, and building working prototypes that demonstrate value. You have strong product instincts, communicate exceptionally well, and enjoy taking ownership of customer outcomes while helping shape the future direction of the platform.
