Senior ML/AI Software Engineer
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The role
Lead design, optimization, and deployment of large-scale automation efforts, leveraging LLMs and generative AI as appropriate.
Build scalable automation systems at the intersection of machine learning, backend engineering, and cloud-scale infrastructure.
Architect and implement AWS-based workflows and ML-driven microservices (Python/Java) with robust APIs and cost-conscious infrastructure.
Ensure automated, repeatable deployment, strong observability, and high service availability through monitoring, testing, and on-call readiness.
Collaborate closely with DevOps, data science, and data engineering to deliver reliable automation that accelerates innovation.
Requirements include 6+ years in ML/backend/AI, proficiency in Java and Python, AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB), MLOps and distributed systems, plus experience with LangChain, vector databases, and LLM APIs.
Build scalable automation systems at the intersection of machine learning, backend engineering, and cloud-scale infrastructure.
Architect and implement AWS-based workflows and ML-driven microservices (Python/Java) with robust APIs and cost-conscious infrastructure.
Ensure automated, repeatable deployment, strong observability, and high service availability through monitoring, testing, and on-call readiness.
Collaborate closely with DevOps, data science, and data engineering to deliver reliable automation that accelerates innovation.
Requirements include 6+ years in ML/backend/AI, proficiency in Java and Python, AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB), MLOps and distributed systems, plus experience with LangChain, vector databases, and LLM APIs.
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