Senior AI Engineer
IND - Bengaluru, India
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Apply software engineering best practices with CI CD testing and documentation
- Build RAG pipelines
- Build retrieval pipelines with vector databases
- Conduct robustness testing for adversarial attacks
- Define reference architectures for generative AI components
- Design and implement generative AI solutions
- Design and maintain data pipelines backend services and APIs
- Establish automated deployment strategies
- Evaluate foundation models and select deployment approach
- Implement AI observability and telemetry
- Implement access controls and data anonymization
- Implement agentic AI workflows
- Implement fine tuning and prompt optimization
- Implement monitoring for quality hallucinations drift latency
- Implement responsible AI guardrails and human in the loop review
- Mentor peers and drive AI enablement programs
- Optimize latency scalability and cost
- Orchestrate multi-step agent workflows
- Translate business problems into AI architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Attacks | Agentic AI | Batching | CI/CD | Caching | Databricks | Deep learning | Distillation | Efficient Fine Tuning | Fine Tuning | Generative AI | GitHub Actions | Hybrid search | IAM | LangFlow | Langchain | Language Models | Large Language Models | Machine Learning | Monitoring | Observability | PII anonymization | Parameter efficient fine-tuning | Prompt engineering | Prompt injection | Provenance tracking | PyTorch | Python | Quantization | RAG | RBAC | REST APIs | Reranking | TensorFlow | Vector Databases
Education
Roles
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