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Tier-1 employer, mid-level (5–8y) role, and metro location increase competition.
Specialized Gen‑AI, ML model, and vector DB expertise limits cross-industry transferability.
Explicit 5–8 years and many mandatory Gen-AI, ML and production deployment skills.
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Contribute to development and implementation of application systems including feasibility studies, design, testing, and user support.
Analyze complex application issues using domain expertise and recommend advanced programming solutions, ensuring security and compliance.
Lead technical architecture, conduct design reviews, mentor engineers, and serve as SME to stakeholders with autonomy and independent judgment.
5-8 years of relevant experience in systems analysis, programming, and project management.
Bachelor’s degree or equivalent experience.
Deep expertise in Large Language Models and hands-on experience with Python, FastAPI, async programming, SQL, and modern JavaScript frameworks (React/Angular/Vue).
Experience with Gen-AI frameworks (LangChain, LangGraph, LlamaIndex, Hugging Face), cloud-native application design, vector databases, ML/DL frameworks (PyTorch/TensorFlow), and cloud providers (AWS/GCP/Azure).
Experienced in designing and deploying complex Gen-AI and retrieval-augmented systems with scalable cloud-native architectures.
Capable of technical leadership including architecture ownership and mentoring within AI-driven development environments.
Strong practical knowledge in ML/DL, prompt engineering, AI system safety and governance, with proven ability to deliver production-grade AI applications.