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Senior Engineer, AI Engineering (R5450)

2 hours, 32 minutes ago
United States
Full-time
Senior
AI Engineer
Software Development
Databricks Generative AI LLM MLOps Snowflake
Apply Now
Bitly

Bitly

Bitly is a link management platform offering URL shortening, QR codes, and a Link in Bio solution for brands to optimize customer experience.

Internet Software & Services
51-250
Founded 2008
$92M raised
View All Jobs 9

Description

  • Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce manual effort and improve productivity.
  • Partner with business stakeholders to translate high-friction workflows into technical requirements and deliver practical AI solutions.
  • Implement AI-enabled collaboration patterns such as meeting intelligence, document generation, contextual knowledge retrieval, and task automation.
  • Develop and maintain internal enablement assets including prompt templates, agent examples, playbooks, and usage guidance.
  • Collect user feedback and operational telemetry to improve adoption, usability, reliability, and measured impact.
  • Build and maintain reusable AI components such as connectors, integration adapters, prompt modules, data pipelines, and service wrappers.
  • Integrate AI capabilities with enterprise systems, collaboration tools, knowledge repositories, data platforms, and workflow automation platforms.
  • Create developer-facing documentation, examples, and onboarding materials for shared AI components.
  • Implement controls for data handling, access management, prompt safety, output validation, audit logging, and secure integrations.
  • Build or maintain dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health.
  • Support evaluation, version tracking, testing, rollout, monitoring, and rollback for models, prompts, and agents.
  • Collaborate with engineering, IT, security, legal, data, finance, and business teams in a matrixed environment.

Requirements

  • Progressive experience building enterprise software, automation, data, AI, or digital workplace solutions.
  • Hands-on experience integrating large language models, generative AI tools, APIs, RAG systems, agents, prompt workflows, or AI-assisted automation into production or enterprise environments.
  • Strong software engineering fundamentals, including API design, testing, observability, documentation, secure coding practices, and maintainable implementation patterns.
  • Experience building integrations with enterprise systems, collaboration platforms, knowledge repositories, data platforms, or workflow automation tools.
  • Working knowledge of AI governance concepts such as access controls, data classification, audit logging, prompt safety, output validation, and model/prompt versioning.
  • Ability to convert ambiguous business workflows into practical technical solutions with stakeholders.
  • Experience instrumenting systems with telemetry, logging, dashboards, usage metrics, or cost/performance monitoring.
  • Clear communication skills and a collaborative style for working across business, engineering, security, legal, and data teams.
  • Experience in regulated, security-sensitive, defense-adjacent, or data-governed environments (preferred).
  • Familiarity with copilot platforms, workflow automation suites, RAG platforms, vector databases, and enterprise search (preferred).
  • Experience with MLOps, model evaluation, AI observability, prompt/agent testing, or production monitoring (preferred).
  • Hands-on experience with Databricks, Snowflake, lakehouse architectures, or equivalent data infrastructure (preferred).
  • Experience developing usage dashboards, cost reporting, showback inputs, or ROI measurement for shared technology services (preferred).
  • Experience contributing to reusable component libraries, internal developer platforms, templates, or enablement playbooks (preferred).
  • Degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience (preferred).

Benefits

  • Pay within range listed plus bonus, benefits, and equity for full-time regular employees.
  • Temporary employees receive pay within range plus a temporary benefits package after 60 days of employment.
  • Salary is influenced by experience, licenses and certifications, and work location.
  • Offers are contingent on a cleared background check and possible reference check.
  • Equal opportunity and affirmative action employer with accommodation support for disability or special needs.

Interested in this position?

Apply directly on the company website

Apply Now

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