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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying GenAI products with a strong focus on Python programming, LLM-based solutions, and cloud-native architectures. Capable of collaborating with cross-functional teams to translate requirements into effective technical solutions while ensuring quality and reliability.
Highest-signal resume keywords
Python ProgrammingGenAI/LLM-Based Features DevelopmentCloud-Native ArchitectureLLM Evaluation and MonitoringMentoring and Technical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData ScienceMachine LearningPrompt EngineeringContext EngineeringRetrieval-Augmented Generation (RAG)Fine-Tuning LLMsAgentic AI PatternsMulti-Step LLM WorkflowsBuilding Scalable Applications
Soft Skills
Problem-SolvingCommunicationCuriosity and Enthusiasm for LearningCollaborationAutonomy
Tools & Technologies
GenAI FrameworksAI/ML ToolingMonitoring PipelinesEvaluation ToolsInfrastructure Tools
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Software EngineeringBachelor's Degree in Machine LearningBachelor's Degree in Data Science
Industry Keywords
GenAILLMResponsible AI PracticesAI Architecture PatternsProduction-Grade Applications
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Build features and components for production-grade GenAI products, focusing on quality, reliability, and performance
- Implement and iterate on LLM-based solutions, including retrieval-augmented generation (RAG), prompt engineering, context Engineering, Loop Engineering, and agentic workflows
- Write clean, well-tested, maintainable Python code and contribute to the broader codebase and infrastructure
- Help build evaluation and monitoring pipelines to measure output quality, groundedness, and reliability of GenAI features
- Work with foundation models and GenAI frameworks/tooling, evaluating tradeoffs between approaches under guidance from senior engineers
- Collaborate with Product Owners and cross-functional stakeholders to translate requirements into working technical solutions
- Participate in code reviews, design discussions, and engineering best practices across the GenAI development lifecycle
- Debug and resolve technical issues across the stack, escalating and collaborating with senior team members on complex problems
- Take ownership of medium-complexity features end-to-end, mentor SDE I engineers, and contribute to architecture and design decisions for GenAI components
Requirements
What you’ll need- 3+ years of industry experience in software engineering, data science, or machine learning
- 1+ years of hands-on experience building GenAI/LLM-based features or applications, ideally in a production setting
- Strong Python skills and experience with modern AI/ML and GenAI frameworks and tooling
- Working understanding of LLMs, embeddings, RAG, prompt engineering, context Engineering, and GenAI architecture patterns
- Experience with cloud-native architectures and deploying scalable applications to production
- Understanding of GenAI evaluation, testing, monitoring, and responsible AI practices
- Ability to work with moderate autonomy, break down ambiguous problems, and communicate technical tradeoffs clearly
- Genuine curiosity and enthusiasm for learning new technologies, tools, and techniques in a fast-moving field
- Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field
- Knowledge of fine-tuning or adapting LLMs, including SFT, LoRA/PEFT, instruction tuning, preparing training datasets, or evaluating fine-tuned models against baselines is a plus
- Experience with agentic AI patterns or multi-step LLM workflows is a plus
Benefits
Comp & perks- Health Insurance
- Retirement Plan
- Disability benefits
- Paid Time Off program
- Work flexibility
- Support, coaching, and training
- Short Term Incentive
- Competitive total rewards package