GenAI Engineer - AWS

Safran Group; Bengaluru; On-site; INR 3,200,000 - 6,000,000; Full time

Job summary

Safran is seeking a GenAI Engineer to lead the design and development of an AI platform leveraging Large Language Models for technical documentation, maintenance, and support workflows. You will architect GenAI-powered apps, implement RAG pipelines, and integrate LLMs across AWS and other clouds.

The role requires building scalable microservices, ensuring secure access, and continuously evaluating model performance with enterprise-grade standards.

Qualifications

• GenAI & LLMs expertise with practical experience in building GenAI platforms.
• Experience with retrieval-augmented generation (RAG) and vector databases.
• Ability to design, implement, and evaluate LLM-based solutions in enterprise contexts.

Responsibilities

• Architect GenAI-powered apps using LLMs and RAG pipelines for documentation, maintenance, and support workflows.
• Design and implement retrieval-augmented generation systems with vector databases and semantic search.
• Fine-tune and integrate LLMs (OpenAI, Anthropic, Bedrock, HuggingFace) for domain tasks.
• Develop evaluation frameworks for LLM outputs (relevancy, faithfulness, accuracy).
• Build and deploy microservices and APIs for GenAI services with secure access.
• Collaborate with product and platform teams to refine requirements and deliver GenAI solutions.
• Stay updated with GenAI trends to future-proof solutions.

Skills

GenAI & LLMs

Vector databases

Evaluation & monitoring

API & microservices

Security & compliance

DevOps for GenAI

Data modeling

Multi-modal retrieval

Education

Bachelor's Degree

Tools

Pinecone

FAISS

Milvus

Weaviate

Elasticsearch/OpenSearch

Docker

Kubernetes

GitHub Actions

Terraform

AWS CDK

CloudFormation

Prometheus

DataDog

CloudWatch

MLflow

Job description

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 innovative 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