Note: The job is a remote job and is open to candidates in USA. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies, and they are seeking a Full Stack Python AI Engineer. The role involves building user-facing workflows, designing backend APIs, and implementing data models to enhance platform usability and performance.
Responsibilities
- Build user-facing workflows for initiating, monitoring, and reviewing game execution runs
- Design and implement backend APIs that expose platform capabilities through stable service contracts
- Build internal tools, CLI capabilities, and developer/user workflows to improve platform usability
- Design and implement run data models, including run manifests, result schemas, metrics structures, logs, outputs, and artifact references
- Build comparison, evaluation, and analytics capabilities to assess performance across runs, configurations, algorithms, environments, and versions
- Implement logging, metrics, diagnostics, and observability capabilities across the execution lifecycle
- Build UI components for viewing run status, logs, outputs, metrics, comparisons, and generated artifacts
- Implement CRUD-style interactions for logs, results, outputs, artifacts, and execution metadata
- Develop configuration frameworks such as runtime settings, execution modes, feature flags, and environment-specific parameters
- Validate and improve game/test harness usability, reliability, and developer experience
- Refactor and improve existing PoC codebase for maintainability, scalability, testability, and production readiness
- Work closely with the Platform Engineer to align APIs, schemas, storage formats, and system integration points
- Work closely with the AI Evaluation & Benchmarking Engineer to support experiment design, metric capture, comparison workflows, and reporting needs
- Ensure all source code, tests, documentation, and configuration comply with client-defined coding standards, testing requirements, security policies, and review processes
Skills
- Strong Python application engineering experience
- Experience building internal platforms, developer tools, experimentation systems, dashboards, or data-heavy applications
- Backend API design experience, including service contracts, schemas, boundaries, and integration patterns
- UI development experience using modern web frameworks
- Strong data modeling skills for structured logs, manifests, metrics, results, and analytics outputs
- Experience with observability design, including logs, metrics, diagnostics, and troubleshooting workflows
- Experience with testing, validation, refactoring, and production-quality code practices
- Strong UX thinking for internal tools and developer/user workflows
- Ability to collaborate across platform, infrastructure, data, and AI/ML engineering teams
- Ability to work inside client-owned repositories, infrastructure, workflows, and security controls
- Experience with AI/ML evaluation platforms, benchmark systems, experiment tracking, or model performance analytics
- Experience with LLM or reinforcement learning evaluation workflows
- Experience with data visualization, metrics dashboards, or analytics reporting
- Experience with containerized applications and cloud/private infrastructure environments
- Experience with feature flags, runtime configuration, and multi-environment application behaviour
- Experience with artifact management, log exploration, and run comparison interfaces
Benefits
- Flexible work schedules and opportunities to work from home.
- Continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals.
- Additional learning opportunities through international knowledge exchanges.
- Competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
Company Overview
Company H1B Sponsorship