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Safran · Bangalore

# Sr. GenAI Developer

Bangalore Senior individual contributor Software Engineering 

Listed on Safran’s official careers site. Posted August 28, 2026. Check that it is still open and apply there.
[Apply on Safran’s careers site →](https://careers.safran-group.com/job/job-sr-genai-developer_186562.aspx?LCID=1033)

[OpenNash Jobs](https://jobs.opennash.com/) / [Safran](https://jobs.opennash.com/companies/safran/) / Sr. GenAI Developer

## Job description

We are seeking a experienced Generative AI developer 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.
- Prompt Engineering and design of 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.

### Soft Skills
- Strong communication and stakeholder management
- Decision making with a balance of technical and business judgment
- Ability to guide technical discussions and challenge assumptions
- Collaborative mindset with cross‑functional teams

### 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.

## At a glance
- Posted by the employer: Aug 28, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 52 days
- Location: Bangalore[Apply on Safran’s careers site →](https://careers.safran-group.com/job/job-sr-genai-developer_186562.aspx?LCID=1033)

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