Senior Software Engineer - AI
Tasks
- Architect and build LLM-powered systems
- Build hybrid search using vector keyword and metadata
- Build retrieval-augmented generation pipelines
- Build shared AI capabilities and internal platforms
- Create reusable AI patterns and frameworks
- Define reference architecture for applied AI systems
- Design content ingestion and semantic enrichment pipelines
- Design end-to-end AI pipelines
- Design observability drift detection and resilience
- Develop agentic systems and intelligent assistants
- Drive design reviews and architectural governance
- Embed responsible AI principles bias mitigation and guardrails
- Ensure security, privacy, and governance compliance
- Establish evaluation frameworks
- Implement embeddings indexing and retrieval
- Implement model monitoring and failure handling
- Implement multi-step reasoning workflows
- Lead design decisions for scalability latency cost and model performance
- Mentor engineers and raise production readiness bar
- Mitigate hallucination misuse and data integrity risks
- Optimize latency cost and output quality
- Set up experimentation and A B testing
- Standardize prompt and version management
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Systems | Azure | B testing | Bias Mitigation | Cloud Architecture | Distributed Systems | Drift Detection | Embeddings | Explainability | GCP | Guardrails | Hybrid search | Language Models | Large Language Models | Microservices | Model Evaluation | Monitoring | Observability | Prompt engineering | Prompt versioning | Python | Retrieval-Augmented Generation | Vector Databases | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer | Staff AI Engineer
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