---
title: 'AI & ML Engineer at Asteri AI, Inc.'
canonical: 'https://feeny.ai/job/ai-ml-engineer-asteri-ai-inc-remote-6p8j4e7mdx8s'
type: 'job'
last_seen: '2026-09-09'
---

# AI & ML Engineer at Asteri AI, Inc.

- **Company:** Asteri AI, Inc.
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-05
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/asteriai/2db4e3c5-4981-423c-b37d-12acb5f82f80

## Job description

## ABOUT US

Asteri is an AI-native Work Intelligence and Orchestration Platform that gives large enterprises the intelligence to understand how work is performed today and how it should be performed in the era of AI, eliminating inefficiencies and identifying high-impact opportunities for AI augmentation. Our platform orchestrates AI and human work with enterprise-grade governance, auditability, and measurement built for production environments at scale.

## THE ROLE

We are looking for an AI & ML Engineer with strong software engineering foundations to join our growing engineering team. This role sits at the intersection of applied AI and production software and focuses on building reliable, scalable, enterprise-ready AI systems.

You will work closely with software engineers and platform teams to design, deploy, and operate AI-powered capabilities that directly power our core product. This is not a research-only role: success is measured by production impact, reliability, and customer value.

If you are excited about building AI systems that operate in real enterprise environments with real constraints, real users, and real accountability - we’d love to talk.

## WHAT YOU’LL DO

- Design, build, and operate production-grade AI/ML systems that power Asteri’s orchestration platform
- Collaborate closely with backend, platform, and frontend engineers to integrate AI capabilities into scalable, reliable product workflows
- Deploy and iterate on LLM-based applications in production, continuously evaluating quality, latency, and cost
- Own retrieval and agentic systems (e.g., RAG pipelines, workflow agents, policy-driven logic) end-to-end
- Define and run rigorous evaluation and testing for AI systems, including offline experiments and production monitoring
- Improve model performance and system behavior over time through experimentation, tuning, and system-level optimizations
- Implement strong engineering practices for AI development, including testing, CI/CD, versioning, and rollback strategies
- Stay current with advances in applied AI and generative models and translate relevant techniques into practical product improvements
- Partner with cross-functional teams to understand product requirements and translate them into robust AI solutions

## WHAT WILL MAKE YOU SUCCESSFUL

## MUST-HAVES

- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Strong proficiency in Python and experience building production software
- 5+ years of professional experience spanning software engineering and applied AI/ML development
- Experience deploying and operating ML or LLM-based systems in production environments
- Solid understanding of machine learning fundamentals, model evaluation, and system-level tradeoffs
- Experience with cloud-based deployment of ML systems
- Strong software engineering skills, including systems design, testing, and performance optimization
- Ability to reason about and communicate complex technical concepts clearly
- Comfortable working independently while collaborating closely with a senior engineering team

## NICE-TO-HAVES

- Experience building applications with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face
- Deep experience with retrieval-augmented generation (RAG) systems and optimization techniques
- Familiarity with ML lifecycle and experimentation tools (e.g., MLflow, Weights & Biases, DVC)
- Experience building distributed or data-intensive systems
- Exposure to enterprise or regulated environments

## WHY JOIN US

You’ll have direct ownership of critical AI systems, real production impact, and the opportunity to shape how AI is safely and effectively deployed alongside humans at scale. Competitive compensation with remote-friendly culture, and a pragmatic, production-first approach to AI.

## About Asteri AI, Inc.

## Company Overview
- **One-liner**: Asteri is a vertical AI work orchestration platform purpose-built for Fortune 500 Life Sciences enterprises and other regulated industries.
- **Entity Type**: Private (startup; inferred early-stage)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2021
- **Founders**: Julia Samoylenko (Founder & CEO)

## Core Business
- **Primary industry**: Life Sciences (pharma, biotech, med devices) and other regulated industries
- **Target customers**: B2B Enterprise – Fortune 500 Life Sciences companies
- **Mission/purpose**: “Enable Fortune 500 Life Sciences teams to unlock the full potential of AI, scale human–AI work safely, accelerate innovation, and deliver progress that improves lives.”

## Products & Services
- **Asteri Platform**: A vertical AI work orchestration platform that unifies three capabilities:
  - **Work Ontology**: An industry-specific Work Graph that models how work happens by linking tasks with roles, teams, functions, and systems.
  - **Work Intelligence**: Task-level analysis to reveal workflows, patterns, duplications, and AI-augmentation opportunities.
  - **Work Orchestration**: System that coordinates execution across humans and AI agents with approvals, oversight, and continuous evaluation.
- **Deep vertical use cases** include:
  - SOP Authoring & Change Control
  - Adverse Events Monitoring
  - Clinical Trial Summarization

The platform is delivered as a SaaS solution with built-in governance and audit-ready traceability.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding not disclosed; headcount of 11 employees (as of latest data)
- **Notable Investors/Partners**: Not publicly listed
- **Growth Signals**: Transitioning from a Palo Alto startup to serving Fortune 500 enterprise clients; targeting the high-stakes, regulated Life Sciences vertical

## Competitive Advantages
- Deep vertical focus on Life Sciences (not a horizontal AI tool)
- Task-level Work Graph and Work Intelligence that understand enterprise workflows at granular detail
- Built-in governance, review/approval loops, and audit readiness for regulated environments
- Human-centered closed-loop orchestration that keeps humans in the loop

## Strategic Focus
- Scaling governed human–AI work orchestration in Life Sciences
- Building deep vertical agentic systems for complex, regulated workflows
- Expanding to other regulated industries while maintaining Life Sciences as the beachhead

## Why Work Here
- **Culture**: Values include “Act boldly”, “Autonomy with accountability”, “Build shared value”, “Excellence in execution”, and “Move with speed and decisiveness”. Emphasizes ownership, high standards, and rapid iteration.
- **Work environment**: On-site in Palo Alto, CA (employees work from physical office; typical time on-site: full time)
- **Team size**: Small team (~11 employees, all product + tech) – high impact and autonomy
- **Perks**: Not detailed, but early-stage startup environment with direct exposure to founders and enterprise AI challenges
- **Engineering culture**: Strong emphasis on craftsmanship, deep thinking, and judgment; AI/ML engineering led by Kiran de Silva (Lead AI & ML Engineer) and Yonatan Goraly (VP Engineering)

## Sources
1. [asteri.ai/company](https://www.asteri.ai/company)
2. [asteri.ai](https://www.asteri.ai/)
3. [asteri.ai/platform](https://www.asteri.ai/platform)
4. [asteri.ai/careers](https://www.asteri.ai/careers)
5. [builtin.com/company/asteri-ai](https://builtin.com/company/asteri-ai)

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