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High — mid-level AI title, Pune metro, broad skills, and known multinational employer increase candidate density.
High — requires specialized LLM, vector retrieval, Azure AI, and model-deployment expertise limiting cross-industry fit.
High — explicit 3–5 years plus mandatory Generative AI, Azure, CI/CD, and infra tooling requirements.
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Design, build, and operationalize AI and LLM-based solutions from prototype to production across data pipelines, model integration, and enterprise workflows.
Own end-to-end delivery of AI initiatives, including deployment, support, and building integrations with enterprise APIs and data sources.
Implement quality controls such as evaluation harnesses, telemetry, safety checks, and automated testing to ensure reliable, scalable AI applications.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
3 to 5 years of software engineering experience focused on AI, automation, backend services, or integrations.
Hands-on experience with Generative AI, Azure OpenAI, vector retrieval, tool-call orchestration, or agent frameworks.
Strong programming skills in .NET/C#, Python, TypeScript, plus experience with REST/GraphQL APIs, test automation, CI/CD, and infrastructure as code (Terraform or Bicep).
Experienced in delivering enterprise-grade AI solutions with solid ownership of end-to-end delivery, from data pipelines to deployment and support.
Comfortable working in cross-functional teams collaborating closely with stakeholders to deliver measurable business outcomes.
Skilled at implementing disciplined software engineering practices including CI/CD, automated testing, telemetry, and responsible AI governance.