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Strong employer brand, metro Bangalore location, and mid-level AI role increase applicant competition.
Role requires specialized AI/ML platform, LLM orchestration, and MLOps expertise, limiting cross-industry transferability.
Explicit 5+ years plus mandatory ML platform, MLOps, LLM orchestration, and infra skills drive strict filters.
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Design, develop, and maintain scalable, secure AI platforms and services including SDKs, APIs, and microservices supporting enterprise-wide Agentic AI.
Develop AI/LLM powered enterprise applications and lead the implementation of best practices in software development, data governance, and platform observability.
Collaborate cross-functionally with product managers and engineers; participate in code reviews and mentor junior engineers.
Minimum 5 years of software development experience with strong foundation in distributed systems and AI-native architectures.
Strong programming skills in Python, TypeScript, Java, Go, or Scala; expertise with ML platforms like AWS SageMaker, Azure ML, or GCP.
Experience with Databricks, Snowflake, cloud SQL, Apache Spark, Apache Airflow, and infrastructure as code tools like Terraform or AWS CloudFormation.
Work Experience Required: 5+ years; Location: Karnataka, India; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and scaling Agentic AI platforms and enterprise applications with focus on AI/LLM orchestration and governance frameworks.
Proficient in test-driven development, code quality practices, trunk-based or GitFlow workflows, and agile delivery in Scrum teams.
Able to translate technical work into business impact and user value; strong at mentoring, collaboration, and producing clear documentation.