Key skills
Full Stack EngineeringTypeScriptReactNode.jsPythonGenerative AILLM Services ManagementAgentic WorkflowsCloud Provider ExperienceSoft SkillsGoAILLMMLOpsETLBigQueryAirflowReact NativeAWSAzureGCPKubernetesSageMakeriOSAndroidMobile Development
About this role
Lazer Technologies is a world-class digital product studio that specializes in building robust, AI-powered full-stack applications. The Full Stack Engineer will engage with clients to understand their needs and architect, build, and ship applications that leverage AI and data capabilities.
Responsibilities:
- Engage with clients to understand their problems, needs, goals, and technical environments
- Architect, build, and ship full stack applications that leverage AI and data capabilities
- Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability
- Design and build scalable data pipelines and data lakes as needed
- Communicate tradeoffs and risks transparently, supporting client decision-making
- Collaborate with other engineers and cross-functional teams to deliver impactful results
- Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects
Requirements:
- 4–6 years of experience as a Full Stack Engineer working with TypeScript, React, Node.js, Python or Go
- Experience with generative AI in areas like image or video generation
- Proven experience shipping production software across the stack
- Strong experience hosting, tuning, and managing LLM services, libraries, or tools
- Experience working with agentic workflows, including creating and using MCP servers
- A track record of building AI-powered features such as information extraction, chatbots, document construction, search, data normalization, etc
- Familiarity with prompt engineering and structured experimentation workflows
- Experience fine-tuning LLMs using open-source models or closed-source services
- Confidence in setting up testing infrastructure around agentic applications
- Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc
- Previous experience in consulting or contracting roles, with the ability to manage client expectations and timelines
- Familiarity with Kubernetes and container orchestration
- Background using ETL frameworks (e.g., Airflow)
- Skills in mobile development (e.g., React Native, native iOS/Android)
- Strong design sensibility and user experience intuition
- Solid statistics or data science background for intelligent data analysis
- Relevant certifications, open-source contributions, or technical publications