Software Engineer with DevOps training

3 days ago


Bangalore, India Centum T&S Full time

CENTUM T&S, headquartered in France, is a business unit of Centum Electronics Group (Around 1000Cr turnover organization) offering a wide range of electronic and embedded systems design engineering services to international customers to help them realize complex products and sub systems. It includes design, development, qualification, value engineering, testbench design & manufacturing and many more services. Centum T&S has established its India operations in North Bengaluru, known as Centum T&S Pvt Ltd (CTS), formerly known as Centum Adeneo India Pvt Ltd. You will be responsible for the delivery of the items assigned to you with quality and should interact with cross functional team and resolve the problem. You should excel in working with global stakeholders and have outstanding communication and leadership skills and report to the Project Manager. Architect and build GenAI-powered applications using LLMs and advanced RAG pipelines for technical documentation, maintenance, and support workflows. Design and implement retrieval-augmented generation (RAG) systems leveraging vector databases and semantic search for contextual information retrieval. Develop robust evaluation frameworks for LLM output (relevancy, faithfulness, summarization, contextual accuracy). Vector Databases & Semantic Search : GenAI Evaluation & Monitoring : G-Eval, Prometheus, QAG scorer, MLflow, DataDog, CloudWatch, custom LLM-as-a-judge frameworks. RESTful API design, GraphQL, FastAPI, Flask, OAuth2/JWT, containerization (Docker, Kubernetes). Security & Compliance : IAM, KMS, VPC endpoints, S3 Object Lock, CloudTrail, encryption policies, GDPR/industry compliance. DevOps for GenAI : CI/CD pipelines (GitHub Actions, CodePipeline), Terraform, AWS CDK, CloudFormation for automated deployment and scaling of GenAI services. Data Modeling for GenAI : Metadata tagging, schema design, data quality management for LLM training and inference. Experience with text, images, video, telemetry for comprehensive GenAI solutions. Preferred Experience Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows. Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops). Working with multi-cloud architectures (AWS, Azure, GCP) and hybrid deployments. Advanced knowledge of MLOps : model deployment, monitoring, rollback, and lifecycle management.



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