Software Engineer

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. CTS is working with many top companies like Airbus, Thales, Hitachi Energy, GE, ABB, DANA, Alstom, etc., CTS has ambitious plans to grow to about 250 people by December 2024, delivering best-in-class electronics systems, designed to global standards based on customer specificationsThe ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. 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. Core Responsibilities Architect and buildGenAI-powered applicationsusing LLMs and advanced RAG pipelines for technical documentation, maintenance, and support workflows. Design and implementretrieval-augmented generation (RAG) systemsleveraging vector databases and semantic search for contextual information retrieval. Integrate and fine-tuneLLMs(OpenAI, Anthropic, Amazon Bedrock, HuggingFace, etc.) for domain-specific tasks and continuous improvement. Develop robustevaluation frameworksfor LLM output (relevancy, faithfulness, summarization, contextual accuracy). Build and deploymicroservices and APIsfor GenAI solutions, ensuring high availability, scalability, and secure access. Collaborate with product, domain, and platform teams to refine requirements and deliver innovative GenAI solutions. Stay current withGenAI trends, frameworks, and best practicesto future-proof solutions for evolving enterprise needs. Required Technical Skills GenAI & LLMs : OpenAI, Anthropic, Amazon Bedrock, HuggingFace Transformers, LangChain, RAG architectures, prompt engineering, fine-tuning. Vector Databases & Semantic Search : Pinecone, FAISS, Milvus, Weaviate, Elasticsearch/OpenSearch with vector support. GenAI Evaluation & Monitoring : G-Eval, Prometheus, QAG scorer, MLflow, DataDog, CloudWatch, custom LLM-as-a-judge frameworks. API & Microservices : 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. Multi-modal Retrieval : Experience with text, images, video, telemetry for comprehensive GenAI solutions. Preferred Experience Buildingenterprise-grade RAG systemsfor technical documentation, support, or maintenance workflows. Implementingmulti-modal retrievalin large-scale environments. Familiarity withcontinuous evaluation and improvementof LLMs in production (A/B testing, feedback loops). Exposure toregulated industries(aviation, manufacturing, healthcare) with strict compliance and audit requirements. Working withmulti-cloud architectures(AWS, Azure, GCP) and hybrid deployments. Advanced knowledge ofMLOps : model deployment, monitoring, rollback, and lifecycle management.