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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong programming fundamentals in Python or TypeScript, with hands-on experience in building AI applications and data pipelines. Proficient in cloud technologies such as AWS, with the ability to explain complex technical concepts to non-engineers.
Highest-signal resume keywords
Python ProgrammingTypeScript ProgrammingAWS Cloud BasicsAI/ML FoundationsData Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Programming FundamentalsAI IntegrationData PipelinesSQLMLOpsInfrastructure-as-CodeCI/CDClaude Code BasicsProduction Code DevelopmentEvaluation Harnesses
Soft Skills
Quick LearnerEffective CommunicationClient EngagementProblem-SolvingAdaptability
Tools & Technologies
AWSAzureGCPPyTorchSageMakerMLflowContainers
Certifications & Qualifications
Claude CertificationAWS Certification
Industry Keywords
AI ApplicationsSDLCOpen-Source ContributionsHackathon ProjectsApplied AI
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchSDLCSQLTypeScript
About the role
Key responsibilities & impact- Learn clients' functions and help redesign them alongside a Senior FDE and Forward Deployed Executive
- Build and ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines
- Build evaluation harnesses, define what working means, and measure results
- Take systems to production on AWS
- Feed field learnings back into the company's AI Blueprints
- Drive client adoption and build credibility with client engineers and operators
- Complete onboarding, Blueprint and delivery-stack training, and an industry primer
- Shadow operators and own a scoped part of a production system with code review
Requirements
What you’ll need- A degree in computer science, engineering or another STEM field
- 0–2 years of experience; internships, co-ops and research
- Built projects integrating AI as part of the SDLC, with ability to explain what worked, what broke, and what would be changed
- Hands-on Claude Code basics
- Strong programming fundamentals in Python or TypeScript
- Ability to learn unfamiliar subjects quickly and ask good questions
- Ability to explain complex technical subjects to non-engineers
- Willingness to spend time learning a client's job before writing code
- Cloud basics: AWS/Azure/GCP, containers, CI/CD
- AI/ML coursework or foundations
- Data pipelines or SQL; classical ML or MLOps (PyTorch, SageMaker, MLflow); infrastructure-as-code
- Open-source contributions, hackathon projects or public writing on applied AI
- Claude certification or AWS certification
Benefits
Comp & perks- A senior FDE paired with you on every engagement, a named mentor accountable for your growth
- Regular feedback and a clear path to Forward Deployed Engineer
- Frontier delivery work across Cowork Activation, Agentic SDLC and Blueprint Activations in Financial Services and Healthcare
- Real production experience in regulated industries
- Opportunity to work with cutting-edge AI and cloud solutions
- Full-time model
- Unlimited Vacation policy
- Generous health, vision, and dental insurance
- 401(K) matching plan
