Senior AI Developer

BlackLine•Pleasanton, CA

4d•Hybrid

About The Position

As a Senior AI Developer on BlackLine’s Corporate AI team, you will play a pivotal role in bringing AI to every corner of the company. You’ll design and deliver enterprise-grade AI agents that transform data into actionable insights, streamline internal workflows, and help teams across the business make better, faster decisions. In this highly visible role, you’ll partner directly with business leaders and be trusted to shape, build, and launch AI solutions end to end.

Requirements

3+ years of Senior-level software development experience, including at least 2+ years focused on AI development in an enterprise environment.
Strong programming skills in one or more languages used for AI and cloud development (e.g., Python, Java, or similar).
Hands-on experience building applications or agents with generative AI platforms, such as:
Google Cloud Vertex AI
Anthropic models and associated SDKs/ADKs
Other major cloud AI APIs and services
Agentic frameworks like LangChain or LlamaIndex to build, chain, and deploy LLM-powered applications.
Proven experience delivering production-grade AI solutions, not just prototypes—covering reliability, maintainability, and scalability.
Experience implementing RAG architectures using vector databases such as Vertex AI Vector Search, Pinecone, or Weaviate.
Advanced prompt engineering skills and a deep understanding of how to design, test, and optimize prompts for specific outcomes within agents.
Experience developing software that adheres to enterprise security and compliance standards
Demonstrated ability to clarify ambiguous requirements, think analytically, and design practical solutions to operational and functional problems.
Excellent communication skills, with a track record of partnering directly with business leads to gather requirements, present options, and align on outcomes.
A history of operating as a senior individual contributor, setting objectives and delivering results that materially impact a team, function, or division.
Comfort working in a small, distributed team, pulling your own weight while collaborating effectively across time zones.

Nice To Haves

You’ve worked on a Corporate/Enterprise AI team, building internal tools or agents rather than only external product features.
You have experience leading or significantly contributing to high-visibility AI projects with executive-level stakeholders.
You’re familiar with enterprise data, security, and governance considerations when building AI solutions (e.g., permissions, privacy, data minimization).
You’ve successfully collaborated with global teams and contractors (e.g., US and India) in a fast-paced environment.

Responsibilities

Design, build, and ship AI agents and applications using tools such as Vertex AI, Anthropic, and cloud-based AI services, focusing on internal/enterprise use cases.
Translate business problems into AI solutions by working directly with stakeholders to clarify needs, define requirements, and propose impactful use cases.
Own the full development lifecycle—from requirements and design, to coding, testing, deployment, and iterative enhancement.
Launch short-term AI agents and features within a quarter, consistently meeting release dates and timelines.
Integrate AI agents with enterprise systems, APIs, and internal tools, creating seamless, end-to-end workflows that fit into how teams already work.
Monitor and support AI solutions in production, investigating issues, improving performance, and refining user experience based on feedback and metrics.
Contribute to team-wide standards and best practices for AI development, including coding patterns, observability, and governance.
Collaborate closely with a small global AI team (US and India) and contractors, sharing context, reviewing code, and jointly owning deliverables.
Provide knowledge transfer and occasional mentoring, helping others understand how to effectively leverage AI tools and patterns.