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Tier-1 brand, mid-level experience range, and Bangalore metro location increase applicant competition.
Niche GenAI, LLM, and cloud AI requirements create strong domain-specific fit needs.
Explicit 4-7 years plus mandatory GenAI, cloud, and LLMops skills imply high strictness.
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Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices for emerging business solutions.
Optimize Retrieval-Augmented Generation (RAG) pipelines and build multi-agent autonomous workflows to automate complex business processes.
Integrate foundational and commercial AI models via major cloud platforms and implement Responsible AI standards including safety, monitoring, and evaluation frameworks.
4-7 years of software development experience with strong computer science fundamentals.
Expert proficiency in Python programming and experience with API development frameworks like FastAPI, Flask, or Django.
Hands-on experience with at least one major cloud AI ecosystem (GCP, Azure, or AWS) and proficiency in SQL and NoSQL databases.
Bachelor's degree in Technology (BE/BTech) or Masters (MTech, MCA) or MBA full-time; mandatory AI-related technical skills as described.
Experienced in advanced Generative AI technologies including LLM orchestration, prompt engineering, embeddings, and vector search systems.
Skilled in building scalable AI solutions on cloud platforms integrating multiple AI services and ensuring ethical AI deployments with monitoring.
Comfortable working with DevOps practices like containerization (Docker) and CI/CD pipelines, alongside familiarity with LLMOps tools.