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Mid-level engineer title, metro Bangalore location, and known employer increase candidate competition.
GenAI/ML skills transfer across industries but require strong ML foundations, so moderate transferability.
Explicit 5+ years plus specialized GenAI, LLM, and PyTorch requirements create strict shortlisting filters.
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Build and deploy scalable large language model (LLM), retrieval augmented generation (RAG), and agent-based AI systems.
Architect and optimize LLM inference and deployment pipelines for efficiency and cost-effectiveness.
Collaborate across data science, research, and product teams; mentor junior engineers; ensure engineering best practices including clean code, testing, and CI/CD.
Ensure ethical, secure, and responsible AI development.
Bachelor's degree in Information Technology, Computer Science, or related field required.
5+ years of experience in software engineering or data engineering roles.
Strong Python expertise with deep learning frameworks (PyTorch/TensorFlow) and LLM frameworks (Hugging Face Transformers, LangChain).
Experience with cloud AI deployments (AWS/Azure/GCP) and software engineering best practices (microservices, TDD, concurrency).
Proven ability to design and productionize GenAI solutions including Agentic AI and RAG pipeline expertise.
Experience working with vector databases, semantic search, and model optimization techniques (quantization, pruning, distillation).
Skilled in mentoring, collaborating across teams, and driving robust CI/CD and MLOps processes in enterprise environments.