You'll Get To:- 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.
What You'll Bring:- 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.
We're Even More Excited If You Have:- 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.
Salary Range:$130,000.00-$163,000.00
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.
