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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI tooling and integrating AI capabilities into products, with a strong focus on machine learning algorithms and AWS infrastructure. Proven ability to mentor junior engineers and collaborate across teams to align AI initiatives with business objectives.
Highest-signal resume keywords
AI Tooling DevelopmentGenerative AI TechnologiesMachine Learning AlgorithmsAWS Infrastructure ProficiencyBackend Software Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt EngineeringContext EngineeringLinear RegressionLogistic RegressionTree-Based MethodsNeural NetworksLLM Fine-TuningCUDAGPU ParallelizationCompute Optimization
Soft Skills
CollaborationMentoring
Tools & Technologies
AWS EC2AWS S3API IntegrationsDevOpsAI Harnesses
Industry Keywords
AI Research ProjectsHealthcare DataComputer ArchitectureHigh-Growth Tech CompaniesEngineering Best Practices
Tech Stack
Tools & technologiesAWSEC2
About the role
Key responsibilities & impact- Develop and improve internal AI tooling, platform capabilities, and AI-enabled product functionality
- Integrate AI capabilities and APIs into existing products
- Build LLM-powered solutions using prompt engineering, context engineering, RAG, agentic workflows, and generative AI
- Create and maintain AI harnesses, evaluations, benchmarks, and testing frameworks
- Apply ML algorithms such as linear regression, logistic regression, tree-based methods, and neural networks
- Contribute to secure, scalable AI architecture, infrastructure, DevOps, hosting, and system optimization using AWS services
- Collaborate with product, data engineering, and software engineering teams to align AI initiatives with business needs
- Track emerging AI technologies and contribute to engineering best practices
- Mentor junior engineers
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Mathematics, Physics, or a related STEM field
- 3+ years of backend software development experience with a strong AI/ML focus
- Experience with generative AI technologies, prompt engineering, and API integrations
- Solid understanding of ML algorithms, including regression models, tree-based algorithms, and neural networks
- Proficiency with AWS infrastructure, including EC2, S3, and networking fundamentals
- Strong foundation in general computer engineering and networking principles
- Experience with AI research projects, LLM fine-tuning, computer architecture, CUDA, GPU parallelization, compute optimization, healthcare data, or high-growth tech companies/research labs is preferred or a plus
Benefits
Comp & perks- Medical, dental, and vision coverage for you and your dependents
- On-demand healthcare concierge
- Pre-tax HSA, FSA, and DCFSA savings options
- Monthly employer HSA contributions if enrolled in a high-deductible plan
- 100% paid short- and long-term disability insurance
- Life and AD&D insurance
- Flexible vacation policy
- Paid parental leave after 6 months for newborn, adopted, or foster children
- Flexible work arrangements; remote work is available, with encouraged in-person collaboration near an office
- Home office equipment shipped to employees
- 401(k) with company match
