Remote Principal Engineer: AI‑Powered Platform Lead

Eliassen Group

San Juan (PR)

Remote

USD 124,000 - 138,000

Part time

7 days ago

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Benefits offered by this job

Medical, Dental, Vision benefits

401(k) with company match

Life insurance

Sick time (as required)

Open work hours

Job summary

Eliassen Group is seeking a hands-on Principal Engineer to shape the customer onboarding platform while coding daily. This remote contract-to-hire role requires driving architectural decisions, influencing product strategy, and embedding AI capabilities across the platform in collaboration with Engineering, Product, Customer Success, and Sales.

You will lead a small team, define technical direction, and deliver scalable SaaS solutions with a strong bias for quality and maintainability.

Qualifications

8+ years of software engineering experience building and operating production SaaS platforms.
Experience as a Staff, Principal, Lead Engineer, or similar technical leadership role.
Strong architectural design experience within modern cloud-native environments.

Responsibilities

Define and drive architectural direction across the platform.
Make strategic technical decisions impacting scalability, reliability, security, and future product innovation.
Guide platform evolution while balancing speed, simplicity, and long-term maintainability.
Identify technical risks before they become business problems.
Write production code daily and contribute directly to feature development.
Design, build, and support scalable SaaS applications.
Lead implementation efforts for complex customer and platform initiatives.
Participate in design reviews, code reviews, and provide technical mentorship.
Help define and implement AI strategy and AI-powered capabilities using modern LLM architectures.
Develop proofs of concept for customer-facing AI use cases.
Architect solutions supporting customer-managed AI, including BYOM and BYOK.
Evaluate emerging technologies including MCP architectures, AI agents, orchestration frameworks, and enterprise AI infrastructure patterns.
Operate as a Product Engineer and partner closely with Product Leadership, Engineering Leadership, Customer Success, and Sales.
Engage with customers to understand onboarding challenges and build demonstrations and prototypes.
Translate customer requirements into platform capabilities and support strategic initiatives.