Applied AI Software Engineer

Role Description

We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. As an Applied AI Software Engineer, you'll help design, build, evaluate, and operate the AI-powered systems that transform natural language into actionable insights.

You'll work across Doowii's tech stack, from LLM orchestration and retrieval systems to backend APIs, data pipelines, and customer-facing product experiences.

What You’ll Work On

• AI Systems & Product Development
  • Design and implement AI-powered product capabilities using large language models, embeddings, retrieval systems, and agent workflows.
  • Build and maintain evaluation frameworks to measure AI quality, accuracy, reliability, and customer impact.
  • Improve prompt strategies, tool usage, retrieval quality, and agent behavior.
  • Develop systems for semantic search, retrieval-augmented generation (RAG), and conversational analytics.
  • Experiment with new models, frameworks, and AI techniques to improve platform capabilities.
  • Partner with product and engineering teams to translate customer needs into AI-driven solutions.
• Backend & Platform Engineering
  • Build scalable backend services and APIs that support AI workflows and customer-facing applications.
  • Design and maintain services that orchestrate LLM interactions, retrieval systems, and external tools.
  • Develop and optimize data processing workflows that support AI-powered experiences.
  • Improve observability, reliability, testing, and deployment practices for AI systems.
  • Contribute to architecture decisions across application, infrastructure, and data layers.
• Data & Retrieval Infrastructure
  • Build and maintain retrieval pipelines, embedding workflows, and vector search systems.
  • Design data models and indexing strategies that improve AI accuracy and performance.
  • Work with structured and unstructured datasets to support analytics and natural-language experiences.
  • Optimize storage, retrieval latency, and evaluation workflows.
• Full-Stack Collaboration
  • Contribute to frontend and user-facing product features when needed.
  • Partner closely with frontend, backend, data, and product teams.
  • Help shape the user experience of AI-powered features and workflows.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or related field (or equivalent practical experience).
• 3+ years of professional software engineering experience.
• Strong proficiency in Python.
• Experience building and maintaining production software systems.
• Experience working with LLM APIs and modern AI application frameworks.
• Experience implementing retrieval, embeddings, vector search, or RAG workflows.
• Experience designing APIs and backend services.
• Strong SQL and data modeling skills.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Experience evaluating AI system quality, reliability, or performance.
• Strong problem-solving skills and comfort working across multiple technical domains.

Requirements

• Bonus points if you have a Masters in computer engineering.
• Experience in any of the following areas:
  • Building agent-based systems or tool-calling workflows.
  • Developing LLM evaluation frameworks, automated testing, or benchmark systems.
  • Fine-tuning models or working with open-weight models.
  • Working with vector databases such as Pinecone, Weaviate, pgvector, OpenSearch, or equivalent.
  • Building analytics platforms or data-intensive applications.
  • Working with Airflow, Dagster, dbt, Kafka, Spark, Iceberg, ClickHouse, BigQuery, or Snowflake.
  • Managing complex workflows with prompt engineering, structured outputs, and AI safety/reliability techniques.
  • Working with conversational interfaces, search systems, or natural-language-driven products.

Benefits

• Competitive compensation.
• New-hire equity grant.
• Open PTO policy & company holidays.
• Medical, dental, and vision benefits for you and your family.
• A mission-driven culture and community.
• Remote-work environment.

Equal Opportunity

Doowii is an Equal Opportunity Employer and values diversity in our workforce. We believe that a diverse and inclusive workplace fosters innovation, creativity, and collaboration. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

To help protect the integrity of our remote hiring process and safeguard access to student and school data, candidates may be asked to complete a brief live identity verification step prior to technical interviews.