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Tier‑1 brand, mid‑level experience requirement and Bangalore location create high applicant competition.
Role's GenAI, ML model building and RAG expertise require domain-specific backgrounds, limiting cross-industry transferability.
Explicit 4+ years requirement plus specialized GenAI and ML skill preferences create moderate shortlisting strictness.
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Lead moderately complex technical initiatives and deliverables in software engineering within Gen AI domain.
Design, develop, test, debug, and document code for projects including upgrades and deployments.
Lead projects, provide guidance to junior staff, and resolve moderately complex technical challenges, collaborating with peers and mid-level managers.
4+ years of Software Engineering experience or equivalent through education, training, or military experience.
Proficiency with Python, JavaScript, Angular/React frameworks (preferred but not strictly mandatory).
Work involves use of cloud platforms (AWS, Azure, GCP), microservices architecture, AI/ML frameworks (TensorFlow, PyTorch), and enterprise tooling (CI/CD, observability).
Notice period: Not explicitly mentioned in the JD.
Experienced in building/training ML models with knowledge of Generative AI technologies like Retrieval-Augmented Generation (RAG).
Capable of solving complex problems with ambiguous requirements and leading proofs of concept or pilot solutions.
Familiar with agile methodologies, DevOps practices, and enterprise software tools (Ansible, Jenkins, Prometheus, Grafana, ELK, Datadog).