Senior ML/AI Software Engineer
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The role
Lead the design, optimization, and deployment of large-scale automation initiatives using LLMs and generative AI in a cloud-native environment.
Architect and implement scalable microservices and ML-driven workflows on AWS (EKS/ECS, Kinesis, Lambda, DynamoDB).
Collaborate with DevOps, data science, and data engineering to deliver reliable, cost-efficient automation solutions.
Own service observability, monitoring, on-call readiness, and disaster recovery to ensure high availability.
Work with LangChain, vector databases, and multi-modal LLM systems to build intelligent tooling and autonomous agents.
Leverage data streaming, MLOps tooling (Kubernetes, Docker, MLflow, Airflow, Terraform, CI/CD) to drive scalable distributed systems and innovation.
Architect and implement scalable microservices and ML-driven workflows on AWS (EKS/ECS, Kinesis, Lambda, DynamoDB).
Collaborate with DevOps, data science, and data engineering to deliver reliable, cost-efficient automation solutions.
Own service observability, monitoring, on-call readiness, and disaster recovery to ensure high availability.
Work with LangChain, vector databases, and multi-modal LLM systems to build intelligent tooling and autonomous agents.
Leverage data streaming, MLOps tooling (Kubernetes, Docker, MLflow, Airflow, Terraform, CI/CD) to drive scalable distributed systems and innovation.
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