Senior Software Engineer, Full-Stack (Copy)

About Doowii

About the Role

What You’ll Work On

• 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

• 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

• 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

• 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

Requirements

• 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

• 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

Compensation

• 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