AI/ML Engineer

Syntas; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

MacBook Pro

External display

AI tools access

401(k) match

Parental leave (12 weeks)

Home office stipend

Team offsites

Learning budget

Job summary

Syntas is seeking an AI/ML Engineer embedded in an advisory practice to deliver applied AI solutions across healthcare, SaaS, and enterprise contexts. You will own projects end-to-end from discovery to deployment, prioritizing production-grade systems over novelty and communicating with non-technical stakeholders.

You will architect and deploy retrieval-augmented generation pipelines, multi-agent setups, and LLM-powered automation, while maintaining observability and reliability in production.

Qualifications

• Strong software engineering fundamentals with hands-on experience shipping LLM-based systems.
• Experience with the full AI stack including retrieval, embeddings, orchestration, and evaluation.
• Proven ability to build production systems with reliability, latency, and cost in mind.
• Comfort working directly with clients and communicating technical decisions to varied audiences.
• Ability to context-switch between projects and pick up new problem domains efficiently.
• Pride in craftsmanship and building systems that genuinely work at scale.

Responsibilities

• Architect and build production AI systems including retrieval-augmented generation pipelines, multi-agent architectures, and LLM-powered automation.
• Work directly with clients to understand business problems, design solutions, and deliver measurable outcomes.
• Set up LLM observability, evaluation, and reliability infrastructure for production deployments.
• Context-switch across multiple projects and industries, learning new domains quickly.
• Translate complex technical concepts into business value for non-technical stakeholders.
• Maintain high engineering standards to ensure systems work in production, not only in demos.

Skills

LLM engineering

Production systems

Client communication

Software engineering

Context switching

Tools

LLM stack

Retrieval pipelines

Embeddings

Orchestration

Evaluation tooling

Job description

Role overview

An AI/ML Engineer role embedded in an advisory practice that delivers applied AI solutions to a wide range of client organizations. The work emphasizes production-grade systems over research novelty, with engineers owning projects end-to-end from discovery through deployment. The position offers significant variety, spanning healthcare, SaaS, enterprise, and other industries, and requires both strong technical depth and consulting-style communication with non-technical stakeholders.

Responsibilities

• Architect and build production AI systems including retrieval-augmented generation pipelines, multi-agent architectures, and LLM-powered automation
• Work directly with clients to understand business problems, design solutions, and deliver measurable outcomes
• Set up LLM observability, evaluation, and reliability infrastructure for production deployments
• Context-switch across multiple projects and industries, learning new domains quickly
• Translate complex technical concepts into business value for non-technical stakeholders
• Maintain high engineering standards to ensure systems work in production, not only in demos

Requirements

• Strong software engineering fundamentals with hands-on experience shipping LLM-based systems
• Experience with the full AI stack including retrieval, embeddings, orchestration, and evaluation
• Demonstrated ability to build production systems with attention to reliability, latency, and cost
• Comfort working directly with clients and communicating technical decisions to varied audiences
• Ability to context-switch between projects and pick up new problem domains efficiently
• Pride in craftsmanship and building systems that genuinely work at scale

Nice to have

• Experience with AI observability, evaluation, and monitoring tooling
• Background in consulting, advisory, or client-facing engineering roles
• Conference speaking or technical writing experience

Benefits and work setup

• Remote-first, full-time, US-based
• Salary range $140,000 to $200,000
• MacBook Pro, external display, and peripherals of choice
• AI tools and developer subscriptions provided including coding assistants
• 401(k) with company match, 12 weeks paid parental leave
• Home office setup stipend of $1,000 and quarterly team offsites
• Generous learning budget, conference attendance, and speaking opportunities supported