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 specifications

The 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 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.
• Integrate and fine-tune LLMs (OpenAI, Anthropic, Amazon Bedrock, HuggingFace, etc.) for domain-specific tasks and continuous improvement.
• Develop robust evaluation frameworks for LLM output (relevancy, faithfulness, summarization, contextual accuracy).
• Build and deploy microservices and APIs for 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 with GenAI trends, frameworks, and best practices to 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

• Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows.
• Implementing multi-modal retrieval in large-scale environments.
• Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops).
• Exposure to regulated industries (aviation, manufacturing, healthcare) with strict compliance and audit requirements.
• Working with multi-cloud architectures (AWS, Azure, GCP) and hybrid deployments.
• Advanced knowledge of MLOps : model deployment, monitoring, rollback, and lifecycle management.