Senior AI Engineer

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

📋 Description

• Take full ownership of AI workflows from inception to execution, including design, deployment, assessment, and ongoing enhancement.

• Create agentic and LLM-based systems that integrate extraction, retrieval, reasoning, and tool usage, with human oversight at critical points.

• Develop design documentation, make decisions regarding build versus buy options, and establish metrics for workflow success.

• Construct production-ready LLM pipelines featuring prompt and context design, structured outputs, validation, fallback mechanisms, and confidence scoring.

• Integrate AI services with Jeeves's backend by adhering to clear API contracts, implementing retries, ensuring graceful degradation, and maintaining data isolation for each customer.

• Optimize cost and latency across various models.

• Create evaluation datasets and automate assessments to identify regressions.

• Equip AI components with logging, tracing, dashboards, and alert systems.

• Keep a comprehensive audit trail of AI decisions for regulated financial products.

• Develop and promote shared AI engineering standards, tools, and practices.

• Educate the broader team on the effective use of coding agents and AI tools.

• Evaluate peers' AI system designs and disseminate insights.

⛳️ Requirements

• Over 7 years of professional experience in software engineering, including a minimum of 2 years focused on building and managing LLM or AI-powered systems in production environments.

• Proven history of owning a substantial system or workflow from start to finish, encompassing scoping, design, launch, and iterative improvements, with minimal guidance.

• Practical experience in deploying LLM-powered applications utilizing APIs such as Anthropic, OpenAI, or comparable technologies, including structured outputs, error management, and evaluation processes.

• Background in designing agentic or multi-step AI workflows that involve tool usage, orchestration, and human review stages.

• Strong expertise in Python, along with solid backend foundations: REST APIs, PostgreSQL or other relational databases, asynchronous patterns, and experience with a major cloud provider (AWS, GCP, or Azure).

• Familiarity with observability in AI systems, including logging, tracing, dashboards, and quality monitoring practices.

• Professional proficiency in English, both written and spoken.

🏝️ Benefits

• Competitive salary with performance-based incentives.

• Comprehensive health and wellness benefits.

• Flexible working hours and remote work options.

• Opportunities for professional growth and development.

• Collaborative and innovative work environment.