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Mid-level ML role in Bangalore with strong investor brand and common LLM skills, moderate competition.
Strong LLM, agentic platform, and governed-data requirements make cross-industry moves challenging.
Explicit 6+ years and 2+ years LLM experience plus required LLM, AWS, RAG, and vector-database skills.
Lead the design and development of a reusable, headless AI agent platform that integrates with multiple Amtech products across manufacturing and packaging.
Set technical direction for platform components including LLM orchestration, tool integrations, governance, deployment, and cost monitoring on AWS.
Collaborate with product teams and Forward Deployed Engineers to scale the platform, embed AI capabilities, and ensure safe, governed access to customer data.
Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
6+ years of software engineering experience including 2+ years working hands-on with production large language model (LLM) systems.
Strong Python skills and experience with agent frameworks (LangChain, LangGraph) and integrating major LLM provider APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock).
Hands-on AWS experience deploying and operating production workloads (e.g., Lambda, ECS/EKS, S3, IAM, CloudWatch).
Experienced in building production AI platforms that integrate LLMs with governed enterprise data environments.
Comfortable defining technical architecture and making strategic build vs buy decisions for AI tooling and orchestration.
Knows both agentic AI/LLM and classical ML engineering/MLOps practices to collaborate effectively across cross-functional teams.