AI & ML Engineer
Asteri AI, Inc. · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Python + LLMs
- 5+ years experience
- Production-focused
- Enterprise AI
Join Asteri's engineering team to design and operate AI-powered capabilities that power their core orchestration platform. You will work at the intersection of applied AI and production software, ensuring reliability and scalability for large enterprises.
Success in this role is measured by production impact and customer value rather than research output. You will collaborate with backend and platform teams to integrate AI into real-world workflows with strict governance and auditability.
What you'll do
- Design and operate production-grade AI/ML systems for the orchestration platform
- Integrate AI capabilities into scalable product workflows with engineering teams
- Deploy and iterate on LLM applications while monitoring quality and latency
- Own retrieval and agentic systems like RAG pipelines end-to-end
- Define rigorous evaluation and testing strategies for AI systems
- Implement engineering best practices including CI/CD and versioning for AI
- Translate product requirements into robust AI solutions through cross-functional partnership
What you'll need
- Bachelor’s degree in Computer Science, Engineering, Mathematics or equivalent experience
- Strong proficiency in Python and building production software
- 5+ years of experience in software engineering and applied AI/ML
- Proven track record deploying ML or LLM systems in production
- Solid understanding of machine learning fundamentals and system tradeoffs
- Experience with cloud-based deployment of ML systems
- Strong skills in systems design, testing, and performance optimization
Nice to have
- Experience with LLM frameworks like LangChain, LlamaIndex, or Hugging Face
- Deep experience with RAG systems and optimization techniques
- Familiarity with ML lifecycle tools such as MLflow, Weights & Biases, or DVC
- Experience building distributed or data-intensive systems
- Exposure to enterprise or regulated environments
Stack
- Python
- LangChain
- LlamaIndex
- Hugging Face
- MLflow
- Weights & Biases
- DVC
How you'll work
- Fully remote culture
- Remote-friendly environment
What you get
- Competitive compensation
- Direct ownership of critical AI systems
- Opportunity to shape safe AI deployment at scale