Sr. AI Engineer, Content Generation

Position Overview:

We are seeking a creative and technical AI Engineer to revolutionize our content creation lifecycle. You will specialize in designing, implementing, and optimizing generative AI solutions to produce high-quality text, image, and multimedia content at scale. This role requires a unique blend of engineering skill and a deep understanding of content strategy. You will be instrumental in building the systems that power our marketing, social media, and client communication efforts.

Responsibilities:

• Develop Generative Workflows: Design and build agentic workflows and LLM-powered chains to automate content generation, summarization, personalization, and editing.
• Integrate Content Systems: Architect and develop robust integrations between our generative AI models and key business platforms, including Content Management Systems (CMS), marketing automation tools (HubSpot), and social media APIs.
• Optimize Prompts & Models: Engineer, refine, and evaluate prompts and fine-tune models to ensure outputs align with our brand voice, tone, and quality standards.
• Implement Quality Guardrails: Develop and deploy automated evaluation frameworks (AI Evals) and human-in-the-loop processes to govern content quality, originality, and brand safety.
• Manage Data for Content AI: Build and manage data pipelines in BigQuery and Snowflake that feed high-quality, relevant data (brand assets, knowledge bases) into our generative models.
• Collaborate with Creative Teams: Partner closely with marketing, creative, and product teams to identify and execute high-impact use cases for generative AI.

Qualifications and Skills:

• Core Technical Expertise (Must-Have):
• 7 years of experience designing and developing production-quality software systems
• 3-5 years of experience with engineering, AI or LLM's
• Demonstrated hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI (including Gemini models) and BigQuery.
• Proficiency in building and deploying AI solutions using LangChain and/or the Google AI Language SDK.
• Experience with agentic frameworks and platforms, specifically AgentSpace.
• Strong data integration and warehousing skills using Snowflake.
• Additional Technical Skills:
• Deep experience with prompt engineering and optimization techniques for models like Gemini, GPT-4, etc.
• Proficiency in a backend language, preferably Python or
• Solid experience designing, building, and consuming REST APIs.
• Familiarity with workflow automation tools (e.g., ) for content pipelines.
• Business & Operational Skills:
• A creative mindset with an understanding of brand voice, content strategy, and marketing goals.
• Excellent problem-solving skills with the ability to translate creative requirements into technical systems.
• Proven ability to manage multiple projects in a fast-paced, agile environment.
• Strong communication skills to effectively bridge the gap between technical and creative teams.