Remote Principal Engineer AI-Driven SaaS Platform

Eliassen Group

Baton Rouge (LA)

Remote

USD 124,000 - 138,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a hands-on Principal Engineer to shape the future of a customer onboarding platform. This remote, contract-to-hire role requires daily coding, architectural leadership, and collaboration with Engineering, Product, Customer Success, and Sales to embed AI capabilities.

You will join a team of about ten, influence the company’s technical direction, and drive AI strategy using modern LLM architectures, MCP concepts, and scalable SaaS patterns while delivering secure,

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.
Demonstrated ability to influence technical direction across teams and systems.
Experience partnering with Product and business stakeholders to drive outcomes.
Proven ability to balance technical excellence with business priorities.
Core technologies: Go (Golang), React, PostgreSQL, Kubernetes, cloud-native and distributed systems.
Preferred: AI/LLM integration, OpenAI or Anthropic platforms, MCP concepts, agentic AI frameworks, vector databases and retrieval, enterprise AI security and governance, API platform design and integrations, Salesforce ecosystem integrations.
Success profile: product-thinking mindset focused on customer outcomes, ownership of ambiguous challenges, clear communication of technical tradeoffs, influence through expertise and execution, proactive risk identification, and comfort operating in fast-moving 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.