Candidates should have experience in developing and deploying microservices via the AWS serverless framework and not just via the console.
Job Description
AWS Full Stack Microservices Developer
Must have skills
Strong experience in Java script and node.js.
Experience on Aws services like dynamo, sqs, sns, cloudwatch,elastic cache etc.
Experience on Aws serverless(SAM) and Serverless framework.
Strong experience in building Api using api gateway and lambda using node.js.
Experienced in deploying microservices to production environment via code pipelines.
Candidates should have experience in developing and deploying microservices via the AWS serverless framework and not just via the console.
Specializes in retrieval-augmented generation architecture — building the search, indexing, and retrieval layer that grounds LLM outputs in accurate, up-to-date information.
Works on pretraining and post-training of foundation models — architecture experiments, training efficiency, alignment techniques (RLHF, DPO), and scaling research, often in collaboration with research scientists.
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
