Top 1045 Senior ai/ml platform engineer Jobs in Remote

Senior Software Engineer - AI / ML
Everforth —Remote
- Urgently hiring
- Remote
- 5 years
- System design
- SQL
- Paid holidays
- Health insurance
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1d
Senior Software Engineer - AI / ML
Everforth —Remote
- Urgently hiring
- Remote
- 5 years
- System design
- SQL
- Paid holidays
- Health insurance
Quick Apply
1d
Senior ML Engineer, Generative AI
Guidewire Software —Remote
- $160,000 - $240,000 a year
- Email
- Remote
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Senior AI/ML Engineer
Egen Solutions —Remote
- $159,300 - $219,245 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Senior level
- Paid holidays
- Health insurance
Senior AI/ML Engineer
Peraton —Annapolis Junction, MD
- $135,000 - $216,000 a year
- Remote
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Senior AI/ML Engineer
Velir —Chicago, IL
- $175,000 - $190,000 a year
- Remote
- 5 years
- System design
- Mentoring
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Senior Software Engineer II, (ML/AI Platform)
Instacart —Remote
- $230,000 - $242,000 a year
- Remote
- Computer science
- Computer Science
- Bachelor's degree
Senior AI/ML Engineer
Lateral Insights LLC —Great Falls, VA
- Full-time
- Remote
- Computer science
- Computer Science
- System design
Quick Apply
Senior Generalist (Python, Data) Engineer - Healthcare AI Platform (US, Remote)
Provectus —Remote
- Full-time
- Remote
- 6 years
- SQL
- Senior level
- Dental insurance
- Vision insurance
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Senior Applied AI Engineer
Omada Health —Remote
- $191,840 - $250,700 a year
- Remote
- Computer science
- Computer Science
- 5 years
- Dental insurance
- 401(k)
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7d
Senior ML/AI Engineer
Genworth Financial —Richmond, VA
- $120,900 - $234,000 a year
- Full-time
- Remote
- Computer science
- 7 years
- Azure
- Paid holidays
- Loan repayment program
Senior AI Platform Engineer
Twin Health —Mountain View, CA
- $180,000 - $200,000 a year
- Remote
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
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Senior AI Platform Engineer
Expel —Herndon, VA
- $142,900 - $207,200 a year
- Remote
- Computer Science
- 5 years
- JavaScript
- Health insurance
- Cell phone reimbursement
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Senior Generalist Engineer - Healthcare AI Platform (US, Remote)
Provectus —Remote
- Full-time
- Remote
- 6 years
- SQL
- Senior level
- Dental insurance
- Vision insurance
Quick Apply
Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering
AppGate Cybersecurity, Inc. —New York, NY
- $180,000 - $275,000 a year
- Full-time
- Remote
- 7 years
- Analysis skills
- Senior level
Quick Apply
AI/ML Engineer (Senior Associate) - Remote
Huron Consulting Services LLC —Chicago, IL
- $130,000 - $188,800 a year
- Full-time
- Remote
- Computer Science
- Engineering
- System design
- Dental insurance
Quick Apply
7d
Senior AI / ML Engineer
InquisIT LLC —Remote
- Full-time
- Remote
- Senior level
- Communication skills
14d
Senior AI Platform Engineer
Alpaca —New York, NY
- Remote
- Senior level
- Communication skills
- Health insurance
Quick Apply
Senior AI Engineer
Apogee Global RMS —San Jose, CA
- Contract
- Remote
- Azure
- 5 years
- Databases
Quick Apply
Senior AI Engineer
Caret Health —Remote
- $140,000 - $200,000 a year
- Full-time
- Remote
- 5 years
- HIPAA
- Research
- Paid time off
Quick Apply

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Senior Software Engineer - AI / ML

Everforth -
Remote

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Job Details

Full-time
1 day ago

Benefits

Partner benefits
Paid holidays
Health insurance
Dental insurance
401(k) matching
Life insurance

Qualifications

AI models
Software engineering
Tooling
Application deployment
AI platforms (beyond public GPTs)
Prompt engineering
Automating deployment processes
SQL
Data pipeline scheduling
Model deployment
System deployment
Model evaluation
Machine learning frameworks
Python
MLOps

Full Job Description

Senior Software Engineer - AI / ML

We are the only AI Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, we processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country.

We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep technical rigor to a system that gets smarter with every document it digests, across hundreds of customers at scale. The system draws on a combination of ML, LLM, RAG, applied mathematics, and smart algorithm design to deliver results at a high level of accuracy.

What you will be doing:

Retrieval-Augmented Generation: Design and build RAG architectures for document understanding, classification, and extraction, from chunking and indexing through retrieval quality and grounding.
LLM Feature Development: Ship production LLM-powered features end-to-end, from prompt design through evaluation, not just prototypes.
Evaluation-Driven Development: Build regression suites, confidence calibration methods, and evaluation frameworks that make AI output quality measurable.
Collaboration with Data Science: Partner closely with our Data Science team to bring research-grade techniques into production.
ML Pipeline & MLOps: Own model, data, and prompt versioning; build reproducible pipelines for ingestion, training, evaluation, and serving.
Rollout Automation & A/B Testing: Implement canary deployments, side-by-side A/B testing, and rollback mechanisms for safe model and prompt releases.
Monitoring & Observability: Implement drift detection, data quality monitoring, and alerting; define SLOs for model and pipeline health.
System Architecture & Leadership: Design secure, high-performance ML infrastructure; evaluate tooling (Bedrock, MLflow, Airflow); mentor engineers and influence best practices.

What you will be need:

Experience: 5+ yrs in software engineering, with 2+ yrs focused on ML/AI in production systems.
LLM & RAG Fundamentals: Hands-on experience with prompt engineering, RAG architectures, and evaluation-driven development, with a track record of shipping LLM-powered features real users rely on.
MLOps & Pipeline Tooling: Practical experience with model, data, prompt versioning, experiment tracking, and deployment automation; proficiency with Airflow, MLflow, and Bedrock or equivalents.
Programming: Proficient in Python; comfortable with SQL and data engineering patterns.

Benefits

Medical | Blue Cross Blue Shield

Multiple PPO plan options with nationwide coverage
100% in-network preventive care
Comprehensive coverage for doctor visits, prescriptions, and mental health
Dental | Guardian

100% coverage for preventive care
80-90% coverage for basic services
50-60% coverage for major services
Orthodontia benefit up to $2,000
Vision | Guardian VSP

$10 exam copay, $20 materials copay
$150 allowance for frames or contacts every 12 months
Life Insurance | Guardian
Company-paid life insurance of $50,000 for all full-time employees
Voluntary Life Insurance | Guardian

Option to purchase additional coverage for yourself, your spouse, and dependents
Spouse coverage up to 50% of employee amount, child coverage up to $10,000
401(k) Retirement Plan

Employer match of 50% of employee contributions, up to $2,350 per year
Immediate eligibility upon hire and full vesting from day one
Discretionary Paid Time Off (PTO)

Take time as needed to recharge and balance personal responsibilities
No fixed accrual - focused on results and trust
Paid Holidays
10 paid company holidays annually, including major U.S. holidays and year-end break

This job was first posted by CyberCoders on 07/01/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at [email protected] to make arrangements.

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