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Mid-level AI role in Bangalore with broad AI and systems requirements increases candidate competition.
Requires specialized applied-AI, agentic systems, and governance skills, limiting cross-industry transferability.
Explicit 5+ years and mandatory applied-AI, systems, and tooling experience create strict technical filters.
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Evaluate and build AI tools and platforms including LLM orchestration, agentic workflows, and model governance to increase organizational efficiency.
Design and own quality assurance frameworks such as automated evaluations, simulation tests, and regression frameworks for AI systems.
Drive AI adoption across teams through pilots, proofs-of-concept, and scalable implementations involving cross-functional collaboration.
5+ years professional software engineering experience; minimum 2 years focused on applied AI in production systems.
Proficient in Python and/or Go; comfortable reading and writing in the other language.
Experience building and operating multi-agent or agent-driven systems in production environments.
Experience with cloud-native environments (GCP and/or AWS), backend API integrations (REST, GraphQL), authentication methods (OAuth2, SAML, RBAC), and backend databases (SQL, NoSQL).
Experienced in designing scalable, reliable backend and AI system architectures with a strong grasp of performance, failure modes, cost, and deployment.
Hands-on with modern agent ecosystems and AI SDKs, familiar with AI governance and responsible AI practices.
Strong cross-functional collaborator able to translate AI use cases into production-grade solutions with measurable impact.