Design, develop, and deploy LLM and ML based AI solutions into production
Build and maintain RAG pipelines, prompt orchestration workflows, and AI-driven automation systems
Develop scalable inference services, APIs, and integration layers
Investigate and resolve complex system and data challenges across AI pipelines, diagnosing root causes and implementing robust solutions
Define and implement evaluation frameworks to assess AI performance, reliability, and business impact
Integrate AI systems with cloud data platforms and enterprise applications
Partner with business stakeholders to translate operational challenges into structured, measurable AI solutions
Contribute to architectural decisions that ensure scalability, maintainability, and clear system boundaries
Uphold strong engineering standards, documentation practices, and reproducibility across AI systems

Requirements

Strong problem ‑ solving skills, intellectual curiosity, and a builder mindset to break down ambiguous problems and design, prototype, and iterate on AI or software solutions
Strong Python skills with solid software engineering fundamentals and experience deploying ML/AI systems into production
Experience building APIs or service ‑ based architecture and working with LLM ‑ based systems (RAG, prompt orchestration, evaluation frameworks)
Experience working with cloud platforms and operating effectively in fast ‑ evolving, ambiguous environments with a strong sense of ownership
Can balance execution speed with engineering discipline and communicate technical concepts clearly to business stakeholders
Bonus points if: Experience with enterprise data platforms, semantic modeling, ontology ‑ driven or knowledge ‑ based systems
Bonus points if: Experience integrating AI solutions into operational business workflows
Bonus points if: Familiar with monitoring, observability, and MLOps practices supporting production AI systems

Benefits

Quarterly profit-sharing bonus
Hybrid Work schedule
Team member appreciation events and recognition programs
Volunteer opportunities
Casual dress code
On demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonMLAIAPIsRAGprompt orchestrationevaluation frameworkscloud platformsMLOpssemantic modeling

Soft Skills

problem-solvingintellectual curiositybuilder mindsetcommunicationownershipexecution speedengineering discipline