AI Engineer II

Proofpoint•Washington, DC

1d•$83,600 - $174,900•Hybrid

About The Position

We're looking for an AI Engineer II to design and ship internal AI-powered tools end-to-end. You'll own AI-powered applications, workflow automations, and integrations from concept through production, evaluating and integrating new AI capabilities as you go. This is a hands-on building role: you'll write production code, not just prototype it, while partnering with business stakeholders and growing into fuller ownership at the next level.

Requirements

1–2 years of hands-on experience building software, data products, or AI-powered tools through professional, internship, academic, or substantial independent project experience.
Strong proficiency in Python and SQL, with experience in data analysis, application development, and statistical or machine-learning workflows.
Hands-on experience with machine learning and statistical modeling, including regression, classification, feature engineering, and model evaluation.
Experience working with large structured datasets using Snowflake, relational databases, or comparable cloud data platforms.
Experience developing or integrating REST APIs and backend services using FastAPI or similar frameworks, along with familiarity with modern web application development.
Demonstrated ability to ship functional tools or applications to real users and evaluate their performance using appropriate technical or quantitative measures.
Strong problem-solving, communication, and collaboration skills, including the ability to learn unfamiliar technologies, incorporate stakeholder feedback, and explain technical tradeoffs to non-technical audiences.

Nice To Haves

Experience developing applications using LLMs, RAG, embeddings/vector search, prompt engineering, and LLM APIs such as OpenAI or Anthropic.
Familiarity with AI agents, tool/function calling, intent routing, retrieval systems, and workflow orchestration.
Experience with React and TypeScript or another modern front-end framework.
Experience with Docker, AWS, or comparable cloud and deployment technologies.
Familiarity with ETL/ELT pipelines, data modeling, JSON/metadata mappings, and multi-system data integrations.
Experience with Snowflake, Salesforce, or other GTM/revenue data systems.

Responsibilities

Design and build internal AI-powered tools and web applications end-to-end, including front-end, back-end, data, API, and LLM/AI integrations.
Own AI applications, workflow automations, and systems integrations from requirements gathering and technical design through production deployment and iteration.
Partner with Sales Operations, Revenue Analytics, and cross-functional stakeholders to translate business problems into scalable technical solutions that deliver measurable value.
Evaluate and integrate new AI models, APIs, frameworks, and development approaches based on business needs, technical feasibility, and performance.
Develop production-quality applications with appropriate testing, documentation, monitoring, and maintainability; troubleshoot and improve solutions post-launch based on user feedback and performance.
Build reusable AI capabilities, integrations, documentation, and development patterns that can be leveraged across teams and use cases.
Communicate technical concepts, solution designs, tradeoffs, and outcomes to technical and non-technical stakeholders, including presenting work to cross-functional audiences.

Benefits

Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities
flexible time off
a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year
a three-week Work from Anywhere option