SENIOR ML/AI ENGINEER
We are seeking an AI Engineer specializing in Large Language Models (LLMs) to join our innovative team. In this role, you’ll architect and implement AI solutions using cutting-edge language models, building intelligent features that enhance our products. You’ll work with state-of-the-art AI technologies to create scalable, production-ready systems that deliver value to our users.
Core Responsibilities
- Design and implement AI solutions using OpenAI, Anthropic, and other leading AI platforms
- Build robust and scalable systems for AI model integration and deployment
- Develop prompt engineering strategies and maintain prompt libraries
- Create efficient input/output handling systems for large language models
- Build evaluation frameworks to measure AI system performance
- Develop fallback systems and handle edge cases in AI responses
- Create tools for monitoring AI system behavior and output quality
- Collaborate with product teams to define AI feature requirements
Required Qualifications
- 5-7 years of professional software engineering experience
- Bachelor’s degree in Computer Science, AI, or related professional experience
- Strong proficiency in Python and modern AI/LLM development
- Experience with OpenAI’s GPT models and API integration
- Expertise in prompt engineering and LLM optimization
- Experience with Git version control and collaborative development
- Expertise in AWS services, particularly for AI/ML deployment
- Experience with vector databases and embedding systems
- Solid understanding of API design and RESTful services
Preferred Qualifications
- Experience with multiple AI providers (Anthropic, Google, Meta)
- Knowledge of RAG (Retrieval Augmented Generation) systems
- Experience with AI model fine-tuning and adaptation
- Familiarity with semantic search and vector search systems
- Understanding of AI model evaluation metrics
- Experience with streaming AI responses
- Background in natural language processing
- Knowledge of AI model deployment optimization
- Experience with AI agent development
SENIOR ENGINEER - DATABASE SPECIALIST
We are seeking a Senior Software Engineer with deep database expertise to join our engineering team. In this role, you’ll be responsible for optimizing our database performance, designing scalable data models, and improving our application’s data access patterns. You’ll work across teams to establish database best practices while contributing to our broader engineering initiatives.
Core Responsibilities
- Lead database optimization initiatives across our applications
- Design and implement efficient data models and access patterns
- Optimize complex SQL queries and database operations
- Develop and maintain data access layers and ORMs
- Implement caching strategies and query optimization techniques
- Collaborate with teams to improve application database interactions
- Establish database coding standards and best practices
- Mentor other engineers on database concepts and optimization
- Participate in architecture discussions and technical planning
- Review code with a focus on database performance and efficiency
- Build tools and frameworks for database access and monitoring
- Troubleshoot complex performance issues
Required Qualifications
- 7+ years of software engineering experience
- Strong expertise in database systems (PostgreSQL, MongoDB)
- Deep understanding of query optimization and execution plans
- Experience with high-performance, large-scale applications
- Proficiency in multiple programming languages (Python, Go, Java)
- Strong knowledge of database indexing strategies
- Experience with caching systems (Redis, Memcached)
- Expertise in writing and optimizing complex SQL queries
- Understanding of database internals and performance tuning
- Experience with Git version control and collaborative development
- Strong knowledge of AWS database services
Preferred Qualifications
- Experience with multiple database technologies
- Knowledge of database replication and sharding
- Understanding of CQRS and event sourcing patterns
- Experience with database migration strategies
- Familiarity with NoSQL database optimization
- Background in systems architecture
- Experience with database monitoring and observability
- Knowledge of database security best practices
Technical Skills
- Databases: PostgreSQL, MongoDB, Redis
- Languages: Go, Elixir, Python
- Cloud: AWS (RDS, Aurora, DynamoDB)
- Tools: Docker, Git, Terraform
- Monitoring: New Relic
Compensation Range: $170K - $275
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