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Tier-1 brand, mid-level role, and hot GenAI specialization drive high competition.
Deep GenAI, ML model training, and data science requirements make the role highly domain-sensitive.
Explicit 4+ year minimum plus many mandatory GenAI, ML, cloud, and tooling requirements create strict shortlisting.
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Lead and deliver moderately complex technical initiatives and projects within the software engineering domain focused on Generative AI.
Design, code, test, debug, and document software components including upgrades and deployments associated with AI technologies.
Provide technical guidance and act as an escalation point for a team, resolving technical challenges and supporting client needs.
4+ years of software engineering experience or equivalent (work experience, training, military experience, education).
Experience designing, coding, testing, and debugging software projects in a technology domain environment.
Not explicitly mentioned in the JD: specific mandatory degree requirements or notice period.
Not explicitly mentioned in the JD: strict onsite or location requirements.
Proficient in Python, JavaScript, Angular/React and experienced with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, and LangGraph.
Experience with Generative AI technologies like Retrieval-Augmented Generation (RAG) including end-to-end pipelines and vector databases.
Strong understanding of microservice architecture, cloud platforms (AWS, Azure, GCP), Agile & DevOps practices, and enterprise tooling including CICD and observability tools.