[Remote] AI Engineer
Note: The job is a remote job and is open to candidates in USA. BlackLine is a technology-based company focused on Finance Automation, and they are seeking an AI Engineer to contribute to their FinTech SaaS platform. The role involves building customer-facing AI solutions, collaborating with senior engineers, and establishing AI engineering standards.
Responsibilities
- Partner with engineering leaders to design and build prototypes based on emerging ideas and business needs
- Convert validated prototypes into scalable MVP solutions ready for production
- Contribute directly to the development of customer-facing AI and agentic applications
- Design and implement components of agentic systems, including:
- LLM-based reasoning and workflows
- Retrieval-Augmented Generation (RAG) pipelines
- Multi-agent orchestration patterns
- Work across the lifecycle of AI systems, from model integration to deployment and monitoring
- Evaluate the technical feasibility of new business ideas using empirical methods
- Build experiments and benchmarks to validate assumptions and guide decision-making
- Contribute to defining data-driven engineering guidelines for AI solutions
- Collaborate with cross-functional engineering teams to establish AI/ML Ops (AIMLOps) standards
- Contribute to best practices in:
- Model lifecycle management
- Evaluation and monitoring
- Security and scalability of AI systems
- Participate in defining organizational standards for governance and control planes of agentic AI systems
- Ensure solutions align with security, compliance, and responsible AI principles
Skills
- Master's or Ph.D. in Computer Science, Mathematics, or a closely related field
- 2+ years of experience building customer-facing ML or agentic AI solutions (including internships)
- Demonstrated ability to deliver working AI systems, from prototype to production
- Strong theoretical grounding in Machine Learning fundamentals
- Generative AI and Large Language Models (LLMs)
- Hands-on experience with LLM training, fine-tuning, or prompt engineering
- Retrieval-Augmented Generation (RAG)
- Multi-agent orchestration frameworks
- Experience with at least one cloud-native AI/ML stack, preferably Google Cloud (Vertex AI, etc.)
- Alternatively: AWS or equivalent platforms
- Familiarity with modern AI engineering tools and frameworks
- Innovative, curious, and self-driven, with a strong bias toward action
- Passionate about building scalable, secure AI solutions
- Strong problem-solving and analytical thinking skills
- Customer-focused mindset, with an understanding of real-world impact
- Effective collaborator in cross-functional engineering environments
Benefits
- Short-term and long-term incentive programs (based on eligibility)
- Robust offering of benefit and wellness plans
- RemoteType: Remote
- Work in the office at least 3 days a week for candidates who live within a reasonable commute to one of our offices
- A variety of professional development seminars
- Inclusive affinity groups to celebrate and support diversity
Company Overview
Company H1B Sponsorship