Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, generic software title, mid-level experience, and Bangalore location increase applicant competition.
Requires specific ML/LLM production experience, C++ performance work, and cloud deployment skills, reducing cross-industry transferability.
Explicit 3-5 years plus mandatory production LLM deployment and multi-stack technical requirements elevate strictness.
Convert cutting-edge Fujitsu LAB AI research into production-ready Minimum Viable Products (MVPs).
Design, develop, deploy, and optimize AI/ML applications and services including Large Language Models (LLMs) integrated with cloud infrastructure.
Lead full-stack development, cloud infrastructure architecture, DevOps automation, and system security for AI/ML solutions in a fast-paced environment.
Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or related field.
3-5 years professional software development experience with multiple large-scale product projects.
Hands-on experience completing at least one production deployment of an LLM or machine learning model project.
Strong programming skills in Python, C++, JavaScript/React; experience with LLM integration, AWS cloud services, GitHub/GitLab workflows, and CI/CD pipeline implementation.
Highly autonomous engineer able to independently translate high-level product requirements into detailed technical solutions and deliver with minimal supervision.
Experienced across full software product lifecycle in AI/ML domains including backend, frontend, cloud, security, DevOps, and system architecture.
Comfortable in fast-paced, short development cycle environments, capable of mentoring juniors and collaborating cross-functionally.