Lead AI Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build agentic workflows and LLM applications
- Collaborate cross-functionally
- Create secure scalable APIs and microservices
- Design AI/ML solutions
- Design distributed systems
- Develop AI safety controls
- Develop evaluation pipelines
- Ensure model governance and risk controls
- Implement MLOps tooling
- Implement infrastructure-as-code
- Mentor junior engineers
- Optimize model inference and serving
- Perform code reviews
- Set up observability with OpenTelemetry
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS EKS | AWS IAM | Agent Orchestration | Agent systems | Amazon Bedrock | Amazon RDS | Amazon S3 | Amazon SageMaker | Asyncio | CI/CD | CloudFormation | Distributed Systems | Distributed tracing | Docker | Event Driven | Event-driven architecture | FastAPI | GRPC | Go | Infrastructure as Code | Java | Knowledge graph | Kubernetes | LLM | MLOps | Microservices | Model Serving | Multi-Agent | Multi-Agent Systems | OAuth2 | OpenAPI | OpenID Connect | OpenTelemetry | PII Redaction | Planning frameworks | Prompt engineering | Prompt injection | Prompt injection detection | Python | RAG | REST | Retrieval-Augmented Generation | Secure Coding | Semantic Search | Terraform | Tool use | Unit Testing | VLLM | Vector Database | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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