Make Your Mark: We are hiring an AI Engineer to help build the next generation of customer-facing AI and agentic solutions within our FinTech SaaS platform. This role is designed for early-career engineers who combine strong theoretical foundations in AI/ML with a passion for hands-on building. You will work at the frontier of Generative AI, Large Language Models (LLMs), and Agentic systems, contributing to solutions that directly impact customers and business outcomes. You will collaborate with senior engineers and architects to rapidly prototype, validate, and scale AI-driven capabilities, while helping establish the engineering standards that will define our AI platform.
You'll Get To:Rapid Prototyping & Solution Development
- 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 Agentic AI Engineering
- 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 Feasibility Analysis & Experimentation
- 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 AI/ML Engineering Standards & MLOps
- 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 Governance & Platform Foundations
- Participate in defining organizational standards for governance and control planes of agentic AI systems
- Ensure solutions align with security, compliance, and responsible AI principles
What You'll Bring:- 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
Salary Range:$128,000.00-$160,000.00
Pay Transparency Statement:Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location.
In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.
We are committed to pay transparency and ensuring candidates have clear information about compensation expectations. For roles that include variable incentive components such as an Incentive Compensation Plan (ICP) or On-Target Earnings (OTE), the compensation structure may follow a split model - for example, a 50/50, 70/30, or 60/40 ratio between base salary and variable incentive.
