Note: The job is a remote job and is open to candidates in USA. BlackLine is a technology-based company focused on Finance Automation, seeking an AI Engineer to build next-generation AI solutions within their SaaS platform. The role involves collaborating with senior engineers to prototype and scale AI-driven capabilities, while ensuring adherence to 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
- A robust offering of benefit and wellness plans
- Professional development seminars
- Inclusive affinity groups to celebrate and support our diversity
- Reasonable accommodation that would better enable your success during the application or interview process
Company Overview
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