Lead AI/ML Engineer(MCP , terraform, Agentic Protocols,LLMs)
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Architect production grade agentic AI platforms
- Build retrieval augmented generation and vector indexing
- Define security architectures and mitigations
- Design build and operate generative AI capabilities
- Design develop and deploy AI-powered solutions
- Develop evaluation frameworks and safety guardrails
- Implement prompt engineering and fine-tuning
- Integrate MCP servers and LLMs
- Lead engineering standards and mentorship
- Manage engineering team performance
- Provide high impact code reviews
- Write clean modular testable documented code
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | AWS | Agent to Agent | Auditability | Authentication | Authorization | Azure | Azure API | Azure API Management | Cloud platform | Continuous access evaluation | Defense in Depth | Distributed Systems | Envoy | Evaluation Frameworks | Fine Tuning | Go | Google Cloud | Google Cloud Platform | Infrastructure as Code | JWT | JWT based Authentication | Java | Kong | Least Privilege | MTLS | Model Context Protocol | OAuth | OAuth 2.0 | OAuth 2.1 | Object-Oriented | Object-oriented programming | Observability | OpenID Connect | Prompt engineering | Python | Retrieval-Augmented Generation | Safety Guardrails | Short lived credentials | Terraform | Threat modeling | Vector indexing | Workload Identity | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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