Jobgether
Principal AI Engineer
TLDR
Lead architecture and development of production-grade AI systems at scale, shaping strategy across teams and driving real-world enterprise impact.
Accountabilities:
- Define and lead the AI system architecture and technical strategy across the full lifecycle, from design through production deployment.
- Design and build scalable ML platforms, pipelines, and event-driven systems supporting distributed and asynchronous workloads.
- Architect and implement LLM-based systems including RAG pipelines, embeddings, vector databases, prompt engineering, and multi-agent orchestration.
- Develop and maintain backend services and APIs that integrate AI capabilities into enterprise and third-party systems.
- Lead model development, optimization, and productionization of AI solutions, ensuring reliability and scalability in real-world environments.
- Establish engineering standards and best practices for AI development, MLOps, monitoring, and system observability.
- Ensure system performance, security, and governance across all deployed AI solutions.
- Collaborate with product, engineering, and leadership teams to align AI initiatives with business priorities and roadmap execution.
- Mentor engineers and influence technical culture across teams, raising the overall bar for AI engineering excellence.
- 7+ years of experience in AI/ML engineering with strong production-level experience.
- Advanced proficiency in Python and strong software engineering fundamentals, including system and API design.
- Deep experience with distributed systems, event-driven architectures, and cloud-native engineering patterns.
- Strong hands-on expertise with LLM systems including prompt engineering, tool/function calling, RAG architectures, embeddings, vector databases, and multi-agent systems.
- Proven experience building and operating MLOps pipelines, including deployment, monitoring, versioning, and reproducibility.
- Strong experience with AWS, including GenAI services such as AWS Bedrock, and familiarity with other cloud platforms.
- Experience working with both SQL and NoSQL databases and designing scalable data architectures.
- Familiarity with containerization technologies such as Docker and modern CI/CD practices.
- Strong communication skills with the ability to translate complex AI concepts into business and technical decisions.
- Experience integrating AI systems with enterprise tools, APIs, or workflow platforms (e.g., ServiceNow, Jira).
- Exposure to AI governance, security, and compliance considerations in production environments.
- Competitive compensation aligned with senior AI engineering leadership roles
- Fully remote work within the United States
- Opportunity to shape cutting-edge AI systems used in real-world enterprise environments
- High-impact technical ownership with direct influence on AI strategy and architecture
- Exposure to advanced LLM, agentic AI, and cloud-native AI engineering practices
- Strong engineering culture focused on craftsmanship, speed, and innovation
- Collaborative environment with technical leadership visibility
- Professional growth opportunities in a rapidly evolving AI-first organization
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Professional growth opportunities in AI organization
Professional growth opportunities in a rapidly evolving AI-first organization
Remote-Friendly
Fully remote work within the United States
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
AI Engineer