Assistant Manager - AI Delivery Product
Firstsource Solutions LimitedMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized AI/LLM role, mid-level, and metro location create moderate applicant competition.
AI/ML and full-stack skills transfer across industries but LLM-specific experience is somewhat specialized.
Multiple mandatory tech-stack requirements and explicit 4–6+ years experience enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, testing, and deployment of scalable full-stack AI/ML applications and enterprise AI-powered solutions.
Own feature modules within AI product suite, manage technical backlog in collaboration with Product Management, and ensure code quality through reviews and testing.
Implement and manage CI/CD, DevOps, and MLOps processes; deploy and optimize applications and ML models on AWS/Azure cloud platforms; mentor engineering team members.
Minimum Requirements
4-6+ years of hands-on software development experience with strong coding expertise.
Mandatory skills: Python programming, Generative AI and LLM frameworks (e.g., LangChain, LangGraph), full-stack development (Backend: Python frameworks like FastAPI/Flask/Django; Frontend: React.js/Angular/JavaScript/TypeScript), AWS and/or Azure Cloud platforms.
Proven experience building, deploying, and maintaining enterprise-grade applications with ML integration, with expertise in ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.
Bachelor's or Master's degree in Computer Science or Engineering discipline.
Ideal Candidate Profile
Experienced technical leader who actively codes while mentoring engineers and driving best practices in architecture, design patterns (SOLID, DDD), and coding standards.
Strong background developing AI/ML solutions integrated into production systems with cloud-native, containerized deployments and MLOps experience.
Comfortable working in Agile environments, owning product features end-to-end, and collaborating closely with Product Management and cross-functional teams.