Backend/AI Engineer

Left Main REI is seeking a Backend/AI Engineer to design, build, and evolve backend services, data infrastructure, and GenAI-enabled features across Left Main products, with integrations to AWS, Snowflake, and Salesforce.

Responsibilities

• Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products with Salesforce, Snowflake, AWS, and external data providers.
• Develop and operate serverless and cloud-native architectures using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, and Kinesis.
• Create robust data-processing pipelines for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery into customer-facing applications.
• Design Snowflake-backed workflows with SQL transformations, stored procedures, Snowpark or Python processing, and performance tuning.
• Architect and implement GenAI driven 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, assess feasibility, and transition promising experiments into secure, reliable production services.
• Collaborate with Salesforce engineers to define integration patterns using Platform Events, APIs, asynchronous processing, and precise data contracts across 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.
• Enhance 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.
• Solid working knowledge of AWS, particularly serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar.
• Strong SQL skills and experience with modern data warehouses, preferably Snowflake.
• Proven ability to design reliable, secure, observable, cost-conscious, and maintainable systems.
• Familiarity with modern AI and GenAI development patterns, including LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
• Ability to use contemporary AI development tools such as ChatGPT, Claude, Cursor, or GitHub Copilot to improve development speed, code quality, and documentation.
• Experience 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 beyond individual tickets.
• Strong communication and collaboration skills to partner across product, engineering, data, Salesforce, and leadership teams.

Technologies

• Python
• AWS
• Lambda
• API Gateway
• S3
• IAM
• CloudWatch
• EventBridge
• Kinesis
• SQS
• SNS
• Snowflake
• Snowpark
• SQL
• Salesforce
• Salesforce Platform Events
• GitHub Actions
• GitHub Copilot
• Cursor
• ChatGPT
• Claude
• LLM APIs
• prompt engineering
• RAG
• embeddings
• vector databases

Benefits

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

Compensation

• Salary range: USD 100,000 to 140,000 per year
• Pay range: $100,000 - $140,000 per year
• Generous benefits package
• Paid holidays

Location and Work Arrangement

Location: Charlotte, NC, with remote work options

Work arrangement: Remote

Job type: Full-time

Licenses and Certifications

Salesforce Certification (Required)