Senior Generative AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop production-level AI applications that incorporate advanced GenAI functionalities.

• Work collaboratively with fellow engineers to design, assess, and refine AI-driven systems.

• Address real-world challenges through well-structured, testable, and observable solutions.

• Assess and oversee LLM models in a production environment, including A/B testing and observability techniques.

• Create and utilize synthetic datasets for evaluation or testing purposes.

⛳️ Requirements

• Must be a U.S. Citizen or Green Card Holder residing in the United States.

• B.S. degree in Computer Science (or a related field) or over 10 years of experience in the software development / AI sector.

• More than 7 years of overall software development experience.

• At least 2 years of direct experience working closely with Generative AI systems.

• Knowledge of the strengths and weaknesses of various foundational models.

• Advanced skills in Python, particularly with AI/ML libraries and tools.

• Proficiency in prompt engineering, including structured prompt design and optimization.

• Experience in creating agentic workflows and utilizing orchestration frameworks (e.g., LangChain, LangGraph).

• Familiarity with human-in-the-loop (HITL) workflows and agent user experience considerations.

• Background in developing chat-based user experience features.

• Strong understanding of best practices in context engineering.

• Proven track record in evaluating and monitoring LLM models in production, including A/B testing and observability practices.

• Experience in generating and utilizing synthetic datasets for evaluation or testing.

• Startup experience—adept at juggling multiple responsibilities and thriving in ambiguous situations.

• Exceptional communication skills—clear, concise, and effective in both written and verbal communication.

• Experience integrating agents via Model Context Protocol (MCP) (preferred).

• Familiarity with fine-tuning open-source LLMs and managing LLM Ops workflows (preferred).

• Knowledge of AWS, voice APIs, or multi-modal LLMs (preferred).

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible work hours and the possibility of remote work.

• Health, dental, and vision insurance packages.

• Engaging work environment with a focus on innovation and collaboration.