AI Engineering Lead
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering techniques
- Architect APIs and microservices
- Build agentic framework solutions
- Build inference infrastructure
- Define AI guardrails and ethical boundaries
- Design AI systems with RAG
- Develop evaluation frameworks
- Implement MLOps and LLMOps automation
- Lead end-to-end AI project delivery
- Mentor engineers
- Mitigate model failure modes
- Run data-driven experiments
- Write proposals and conduct feasibility studies
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agent Orchestration | Azure | CI/CD | CloudFormation | Code review | Compliance | Containerization | Databricks | Dataset curation | Deployment Automation | Embedding Models | Evaluation metrics | Event Driven | Event-driven architecture | Experiment tracking | Few-Shot Learning | Few-shot | GCP | Git | Infrastructure as Code | Instruction design | Kubernetes | LLM Versioning | LLM-as-a-Judge | LLMOps | Language Models | Large Language Models | MLOps | MLflow | Microservices | Model versioning | Monitoring | Observability | Prompt engineering | Python | REST APIs | Reranking | Retraining | Retrieval-Augmented Generation | Security | Structured outputs | Terraform | Testing | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
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