Senior Software Engineer (AI-Powered Products)

The Role
We are seeking a Senior Software Engineer to join Morning Consult's core engineering organization. In this role, you will play a pivotal part in designing, building, and scaling the next generation of AI-powered products and services at Morning Consult. You will collaborate with cross-functional teams, including software engineers, product managers, and subject matter experts, to deliver innovative, high-impact solutions built on modern AI technologies.

The ideal candidate has experience working with LLMs in production environments, a solid foundation in professional software development in a strongly typed language (such as Go, TypeScript, or similar), and familiarity with LLM techniques such as Retrieval-Augmented Generation (RAG), few-shot prompting, guardrails, and evals.

What You'll Do

• Design, develop, and maintain high-quality software solutions across the stack (frontend, backend, infrastructure) with a focus on building AI-native features and products
• Collaborate with cross-functional teams to translate business requirements and customer needs into technical solutions
• Contribute to system architecture and planning, ensuring scalability, reliability, and maintainability
• Participate in code reviews, mentorship, and knowledge sharing
• Rapidly prototype and iterate on new features and ideas, balancing speed with quality
• Own projects end-to-end, from discovery and requirements gathering through implementation, testing, and deployment
• Integrate AI/ML capabilities into products and workflows, working closely with AI engineers as needed
• Champion best practices in software engineering, including automated testing, CI/CD, and infrastructure as code
• Gather user feedback, interpret results, and iteratively enhance product functionality and user experience

Required Qualifications

• Advanced expertise in Go
• Expert knowledge of cloud storage systems (e.g., RDBMS, ElasticSearch, Redis, S3, DynamoDB, etc)
• Demonstrated experience and expertise in cloud networking technologies
• Experience with cloud architecture, infrastructure as code, CI/CD, automated testing, and related tools
• Hands-on experience implementing modern software architectural principles and patterns
• Strong understanding of architectural design patterns and computer-science fundamentals
• Experience working with containerized applications (e.g., Docker, containerd, etc)
• Ability to both rapidly prototype and build robust, scalable solutions

Nice to Haves

• 2+ years of hands-on experience with LLMs, such as OpenAI, Anthropic, Google Gemini, Hugging Face, etc., in production environments
• Proficiency with Python
• Experience with Git for team-based collaboration
• Demonstrated familiarity with RAG, few-shot prompting, tool-use, context engineering, and evals
• Experience evaluating LLM performance with metrics, user testing, and iterative improvements
• Strong problem-solving skills and the ability to break down complex technical tasks