GenAI Engineer - AWS **Job details** **General information** **Entity** Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated 31.3 billion in revenue in 2025. Safran holds, either independently or through partnerships, leading global or European positions in its markets. Safran was ranked second in the Aerospace & Defense sector in TIME magazine's ""World's Best Companies 2025"" ranking. As the world leader in aeronautical electrical systems, Safran Electrical & Power is a key player in the electrification of aircraft equipment and electric and hybrid propulsion. With expertise across the onboard energy chain, the company designs and delivers innovative, optimized and modular architectures and solutions. **Reference number** 2025-166712 **Job details** **Domain** Research, design and development **Job field / Job profile** Software - Software for product information systems **Job title** GenAI Engineer - AWS **Employment type** Permanent **Part time / Full time** Full-time **Job description** We are seeking a experienced Generative AI engineer to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role,



your core responsibilities are - 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 creative GenAI solutions. - Stay current with GenAI trends, frameworks, and best practices to future-proof solutions for evolving enterprise needs. **Candidate skills & requirements** 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. **Job location** **Job location** Asia, India **City (-ies)** BENGALURU **Applicant criteria** **Minimum education level achieved** Bachelor's Degree **Minimum experience level required** More than 5 years

📌 GenAI Engineer - AWS (Bengaluru)
🏢 Safran
📍 Bengaluru