Top 7243 Product development engineer Jobs in Remote

Backend/AI Engineer
Left Main REI —Charlotte, NC
- $100,000 - $140,000 a year
- Full-time
- Remote
- Salesforce
- SQL
- AWS
- Paid holidays
- Health insurance
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Azure Machine Learning Customer Engineer
JDA TSG —Remote
- $110,000 - $120,000 a year
- 7 years
- Senior level
- Leadership
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Mechanical Engineer
AssetWatch, Inc. —Remote
- $117,000 - $140,000 a year
- Full-time
- Remote
- Mid-level
- Organizational skills
- Mechanical knowledge
- Flexible schedule
- Retirement plan
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11d
Product Development Engineer
Molex —Lisle, IL
- $110,000 - $130,000 a year
- Remote
- 5 years
- Bachelor of Science
- Pass drug screening
- Paid parental leave
- Health savings account
Associate Systems Engineer
Unisys Corporation —Eagan, MN
- Full-time
- Remote
- Computer science
- Computer Science
- System design
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Systems Administrator 4, Engineering Operations
Netflix —Remote
- $225,000 - $360,000 a year
- Google Workspace
- System design
- 3 years
- Paid holidays
- Health insurance
Machine Learning Engineer
Givzey —Remote
- Full-time
- Remote
- Computer Science
- Mid-level
- 3 years
Quick Apply
AI Engineer
Cargomatic —Remote
- $150,000 - $210,000 a year
- Call employer
- Remote
- 3 years
- Senior level
- Paid holidays
- Health insurance
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Product Designer
Renesas Electronics —La Jolla, CA
- $145,000 - $165,000 a year
- Full-time
- Remote
- Senior level
- Leadership
- Communication skills
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Senior Product Designer
Future —Remote
- $155,000 - $200,000 a year
- Remote
- 5 years
- Senior level
- Communication skills
- Disability insurance
- Health insurance
Permitting Engineer - Remote
LogistiQ Integration Solutions —Remote
- Remote
- Microsoft Excel
- Microsoft Outlook
- Office
Quick Apply
Unity Engineer
Prisms VR —Remote
- Full-time
- Remote
- Computer Science
- Writing skills
- Mid-level
Quick Apply
13d
Analytics Engineer (AWS)
Sadup Softech —Remote
- Contract
- Remote
- Mid-level
Lead Product Designer
Cortex —Remote
- $190,000 - $220,000 a year
- 5 years
- Senior level
- Leadership
- Health insurance
- Dental insurance
Staff Product Designer
Mercury Insurance Services, LLC —Remote
- $101,167 - $204,439 a year
- Remote
- Computer Science
- 8 years
- Bachelor's degree
- Paid holidays
- Health insurance
QA Engineer - US Remote
PerfectServe —Remote
- $90,000 - $120,000 a year
- Remote
- HIPAA
- Mid-level
- Mentoring
- Paid holidays
- Disability insurance
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Fresher - DevOps Engineer
Busigence Technologies —Remote
- Email
- Remote
- Entry level
- Flexible schedule
AI Engineer
Sharebite —Remote
- $110,000 - $130,000 a year
- Email
- Remote
- System design
- APIs
- 1 year
- Health insurance
QA Engineer
DEFy SciTech —Remote
- Remote
- Software troubleshooting
- Windows
- Java
Machine Learning Engineer
Pluralsight —Remote
- $121,600 - $160,000 a year
- Full-time
- 5 years
- Office
- Fair chance
- Health insurance
- Professional development assistance

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Backend/AI Engineer

Left Main REI -
Charlotte, NC

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Job Details

Full-time
$100,000 - $140,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching
Professional development assistance
Flexible schedule
Life insurance

Qualifications

AI models
Commercial use (data warehousing systems)
Systems integration
Teamwork
Data Integration (Data management)
Cloud data warehouses
Salesforce Certification
Tooling
Salesforce
Generative models
AI platforms (beyond public GPTs)
Snowflake
SQL
Salesforce Cloud
Collaboration with product development teams
AWS
Cloud Native Design
Developing and maintaining backend systems
Back-end integration
AI
Developer tools
Python
Generative AI
AWS Lambda

Full Job Description

Left Main REI is a top 1% Salesforce partner company primarily serving real estate investors and commercial real estate brokers. We specialize in providing a robust Salesforce solution optimized for real estate industry business processes and have harnessed the power of data + AI to help our customers move faster, think smarter, and achieve more.

We’re a team of passionate innovators on a mission to transform how real estate businesses operate and scale. If you’re excited about shaping the future of a dynamic industry, this is your moment.

Job Details

We’re looking for a Backend / AI Engineer to help us design, build, and evolve the backend services, data infrastructure, and AI-powered capabilities behind the next generation of Left Main products.

This role will sit at the intersection of backend engineering, cloud infrastructure, data platforms, and applied AI. You will help build scalable APIs, data pipelines, event-driven workflows, and GenAI-enabled product experiences that support initiatives across Left main CRM, DealSignals, DispoSignals, Data Insights, enrichment, and future AI-powered products.

You’ll work closely with product, data, Salesforce, and engineering leaders to move more intelligence into our AWS and Snowflake architecture, create reliable services that integrate with Salesforce and external data providers, and prototype new GenAI use cases that can become production-ready product capabilities.

This is a hands-on individual contributor role with meaningful architectural influence. We’re looking for someone who is energized by experimentation, comfortable owning production systems, and excited to help define the future of our Data + AI tech stack.

Job Responsibilities

Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products, Salesforce, Snowflake, AWS, and external data providers.
Develop and operate serverless and cloud-native systems using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, Kinesis, and related services.
Build reliable data-processing workflows for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery back into customer-facing applications.
Design scalable Snowflake-backed workflows, including SQL transformations, stored procedures, Snowpark or Python-based processing, and performance optimization.
Architect and implement GenAI and AI-powered product capabilities, including role-based agents, retrieval-augmented generation, prompt workflows, AI-assisted analysis, customer-facing copilots, and internal productivity tools.
Prototype new AI use cases quickly, evaluate technical feasibility, and help move the most promising experiments into secure, reliable, production-ready services.
Collaborate with Salesforce engineers to design integration patterns using Platform Events, APIs, async processing, and well-defined data contracts between Salesforce, AWS, and Snowflake.
Support predictive and ML-enabled use cases such as lead scoring, buyer scoring, property intelligence, recommendation workflows, anomaly detection, and customer insights.
Improve reliability, observability, and operational maturity across backend systems through structured logging, monitoring, alerting, automated tests, and clear incident response practices.
Contribute to CI/CD, infrastructure automation, environment management, and deployment practices for backend and data services.
Bring ideas, technical curiosity, and product-minded thinking to roadmap discussions, architecture reviews, and innovation planning.

Requirements

2+ years of professional backend engineering experience building production-grade APIs, services, data workflows, or cloud-native systems.
Strong hands-on experience with Python for backend development, scripting, automation, data processing, or AI/ML workflows.
Experience building RESTful APIs and integrating systems through APIs, webhooks, event-driven patterns, or message-based architectures.
Strong working knowledge of AWS, especially serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar technologies.
Strong SQL skills and experience working with modern data warehouses, preferably Snowflake.
Experience designing systems that are reliable, secure, observable, cost-conscious, and maintainable.
Familiarity with modern AI and GenAI development patterns, such as LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
Ability to use modern AI development tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar tools to improve development speed, code quality, documentation, and problem solving.
Experience working with CI/CD pipelines, GitHub Actions, automated testing, infrastructure-as-code, or deployment automation.
Comfort working in a fast-moving startup environment where priorities evolve and engineers are expected to own outcomes, not just tickets.
Strong communication and collaboration skills, with the ability to partner across product, engineering, data, Salesforce, and leadership teams.

Benefits:

401(k)
401(k) matching
Dental insurance
schedule
Health insurance
Life insurance
Paid time off
Vision insurance
Flexible remote work arrangements
Opportunities for professional growth and development
Collaborative and inclusive work culture
Salesforce certification incentives

Compensation:

$100,000-$140,000 per year
Generous Benefit Package
Paid Holidays

Job Type: Full-time

Pay: $100,000.00 - $140,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Paid time off
Professional development assistance
Vision insurance

License/Certification:

Salesforce Certification (Required)

Work Location: Remote

Quick Apply

Refine Your Search

product development engineer jobs in remote

Backend/AI Engineer

Azure Machine Learning Customer Engineer

Mechanical Engineer

Product Development Engineer

Associate Systems Engineer

Systems Administrator 4, Engineering Operations

Machine Learning Engineer

AI Engineer

Product Designer

Senior Product Designer

Permitting Engineer - Remote

Unity Engineer

Analytics Engineer (AWS)

Lead Product Designer

Staff Product Designer

QA Engineer - US Remote

Fresher - DevOps Engineer

AI Engineer

QA Engineer

Machine Learning Engineer

I want to receive the latest job alert for product development engineer in remote

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