Description
Job Description
5+ years delivering production AI/ML systems; strong Python, SQL and software engineering fundamentals (tests, CI/CD, code reviews)
Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration
Model training/evaluation experience with reproducible pipelines and experiment tracking
Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)
AI security in practice: prompt-injection defenses and tool-permission scoping
Ability to design clean APIs/services (e.g., FastAPI) and communicate trade-offs in English
Requirements
5+ years delivering production AI/ML systems; strong Python, SQL and software engineering fundamentals (tests, CI/CD, code reviews)
Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration
Model training/evaluation experience with reproducible pipelines and experiment tracking
Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)
AI security in practice: prompt-injection defenses and tool-permission scoping
Ability to design clean APIs/services (e.g., FastAPI) and communicate trade-offs in English
Nice to have (bonus points)
ML platforms: Braintrust, MLflow, AWS SageMaker, Azure AI Foundry, Snowflake, Databricks
Retrieval/search experience: hybrid search, reranking, and graph retrieval
Infrastructure as code and containers: Terraform and Docker.
Job responsibilities
Job Responsibilities
Ship production GenAI/ML features for supply chain risk management
Design and ship agentic systems: tool-using and multi-agent workflows with human review
Build the retrieval and LLM layer underneath optimized for latency and cost
Own evaluation and rollout (LLM-as-judge, evals, A/B testing, model versioning)
Operate AI in production (monitoring, quality metrics, drift detection)
Work with AI engineers, Data Engineers, Product, and Architects to bring AI to production
Work AI-native: agentic coding tools, repo-level agent context, and review of AI-generated code
What we offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
