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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and building secure, full stack AI applications using Python and TypeScript, with a strong focus on integrating LLMs and enterprise systems. Proven ability to implement security controls, lead production-readiness reviews, and mentor engineering teams while ensuring compliance with industry standards.
Highest-signal resume keywords
Full Stack DevelopmentPython ExpertiseLLM Application DesignCI/CD Pipeline ImplementationApplication Security Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptFastAPIReactDockerKubernetesTerraformREST APIsGraphQL APIsNoSQL Databases
Soft Skills
MentoringCollaborationCommunicationLeadershipProblem-Solving
Tools & Technologies
Vertex AIAzure OpenAIAutomation AnywhereMCP Tool ServersCloud RunGKEPub/SubIAMA360RPA Platforms
Industry Keywords
Enterprise Scale ApplicationsData PrivacyAudit LoggingWorkflow ManagementBusiness Process Management
Tech Stack
Tools & technologiesAWSAzureCloudDockerERPGraphQLITSMJavaScriptKubernetesNode.jsNoSQLPythonReactRPATerraformTypeScript
About the role
Key responsibilities & impact- Architect and build secure, full stack AI applications using Python, TypeScript, APIs and React or similar UI frameworks
- Integrate LLMs including Gemini, Claude, GPT and open weight models through Vertex AI and Azure OpenAI
- Integrate enterprise systems, MCP tool servers, and Automation Anywhere A360 and Agentic Process Automation bots
- Support workflows across ERP, HR, ITSM, finance close, electronic signatures, and collaboration platforms
- Implement multi-agent coordination using planner/worker, supervisor, and handoff patterns
- Build guardrails, approval gates, role-based permissions, audit trails, state management, retries, idempotency, and escalation paths
- Apply security controls including OAuth2/OIDC, least-privilege service identities, secrets management, prompt-injection and data-exfiltration defenses, PII handling, and SOX audit evidence
- Partner with Information Security, Internal Audit, and Legal on security and production-readiness standards
- Build automated evaluation suites, regression tests, CI/CD pipelines, OpenTelemetry tracing, telemetry, SLOs, and on-call runbooks
- Lead production-readiness reviews and improvements following incidents
- Partner with business process owners to identify workflows, prototype solutions, define success metrics and ROI, and transition pilots into production products
- Translate requirements for offshore contractors and vendor engineers and review deliverables
- Contribute reusable MCP servers, agent templates, approval components, evaluation harnesses, reference architectures, and documentation
- Mentor engineers and support their development self-sufficiency
- Support proofs of concept, emerging-model evaluations, MCP/A2A protocol evaluations, and vendor capability assessments
Requirements
What you’ll need- 8+ years of professional software engineering experience
- 2 years of designing and delivering production LLM applications used by real users at enterprise scale
- Experience with retrieval augmented generation, tool or function calling, and agents
- Expertise in Python or proficiency in TypeScript/JavaScript
- Full stack development experience, including backend services and APIs such as FastAPI or Node and modern frontend frameworks such as React
- Experience with relational and NoSQL data stores
- Extensive functional experience with at least one major cloud platform
- Experience with Docker/Kubernetes, Terraform infrastructure as code, and CI/CD
- Proven experience building multi-step agentic systems with tool integration including MCP, state management, human approval flows, and systematic LLM evaluation
- Knowledge of REST and GraphQL APIs, event-driven architectures, workflow and business process management concepts, and RPA platforms
- Knowledge of application security and compliance, including authentication, authorization, secrets management, data privacy, and audit logging
- Successful history of passing security and architecture reviews
- Ability to lead discovery sessions, write clear design documents, and present tradeoffs to senior leaders
- Experience coordinating with offshore or globally distributed teams
- Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent functional experience
- Google Cloud experience including Vertex AI, Cloud Run/GKE, Pub/Sub and IAM is preferred; AWS or Azure experience is acceptable
- Automation Anywhere is preferred; UiPath or Power Automate experience is acceptable
Benefits
Comp & perks- Attractive compensation and comprehensive benefits packages
- Generous paid time off
- Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products
- Employee engagement opportunities, including exclusive screenings and events, speaker series, and volunteer activities
- Bonus eligibility
- Potential annual bonuses, short- and long-term incentives, and program-specific awards