Senior AI Engineer/AI Lead
India-Hyderabad-Mindspace 20
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect quality control layer
- Build MCP servers for tool access
- Build deterministic rule engines for field validation
- Create Architecture Decision Records
- Create evaluation pipeline and benchmarks
- Curate ground truth datasets
- Define AI model specifications for regulatory frameworks
- Define CI CD and MLOps strategy
- Define agent topology and communication
- Deploy monitoring dashboards and cost tracking
- Design multi-agent AI architecture
- Develop prompt engineering strategy
- Develop technical validation strategy for GAMP5 Category 5
- Implement AI agent orchestration
- Implement auto escalation logic
- Implement cross model verification
- Implement guardrails for accuracy and compliance
- Implement state management and escalation routing
- Maintain audit trail infrastructure
- Manage model versioning and prompt version control
- Migrate systems to Claude on Bedrock
- Produce IQ OQ PQ documentation
- Re engineer prompts and evaluation pipelines
- Run accuracy and precision measurements
- Write and review technical documentation
Perks/Benefits
Skills/Tech-stack
API Design | AWS Bedrock | Accuracy measurement | Agent systems | Anthropic Claude | Audit trails | CI/CD | CloudTrail | Confidence Calibration | Containerization | CrewAI | Cross Model Verification | Deterministic Rule Engines | Evaluation Frameworks | GAMP5 | Ground Truth | Ground truth datasets | GxP | GxP Compliance | IAM | Infrastructure as Code | Lambda | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Context Protocol | Model verification | Model versioning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Prompt/version control | Python | Regression testing | Retrieval-Augmented Generation | Rule engines | S3 | Testing | Version control | “as-code”
Education
Roles
AI | AI Engineer | AI Lead | Engineer | Lead | Senior AI Engineer
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