Senior Enterprise AI/ML & Algorithms Engineer

Salute; United States; On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

HSA

Gym discount

Mental health support

Group life & AD&D

Group disability

401(k) retirement matching

PTO & holidays

Parental leave

Job summary

Salute is seeking an AI/ML and Algorithm Engineer to design, build, and protect the core intelligence layer of our enterprise platform. You will own multi-agent AI systems, scoring/optimization algorithms, and LLM applications for scalable, production use.

In this role you will translate cutting-edge AI research into production, drive IP through invention disclosures, and shape governance, benchmarking, and vendor strategies for enterprise AI.

Qualifications

• 8+ years AI/ML engineering or research experience.
• Deep expertise in LLMs and agent frameworks; strong prompt engineering.
• Proficiency in Python and at least one deep learning framework.
• Experience deploying production AI systems with monitoring and rollback.

Responsibilities

• Design and implement production multi-agent AI systems with coordination and memory management.
• Develop novel scoring/optimisation algorithms and RAG/LLM workflows.
• Architect closed-loop AI systems with human-in-the-loop ratification.
• Evaluate AI model performance including latency, cost, and reliability.
• Drive build-vs-buy-vs-partner decisions and governance for AI components.

Skills

AI/ML engineering

Production AI systems

Python

PyTorch

JAX

ML infrastructure

Vector databases

RAG workflows

Education

MS/PhD in CS/ML

Tools

LangChain

LangGraph

PyTorch

JAX

Ray

Weights & Biases

MLflow

Job description

Salute is seeking an AI/ML and Algorithm Engineer to design, build, and protect the core intelligence layer of our enterprise platform. You will own multi-agent AI systems, scoring/optimization algorithms, and LLM applications for scalable, production use.

In this role you will translate cutting-edge AI research into production, drive IP through invention disclosures, and shape governance, benchmarking, and vendor strategies for enterprise AI.