Live opening Β· Posted 6 days ago

πŸš€ Lead Artificial Intelligence Engineer | Agentic AI | RAG | LLM APIs | Vector DB | Terraform | Rego - WFH/Remote

Remote_WFH_INDIA Β· Bengaluru, Karnataka, India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyRemote_WFH_INDIA
LocationBengaluru, Karnataka, India (Remote)
Work modeYes
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

πŸš€ Lead Artificial Intelligence Engineer | Agentic AI | RAG | LLM APIs | Vector DB | Terraform | Rego | Remote India
πŸ”₯ We’re AgileEngine!
AgileEngine is an award-winning software engineering and AI services company partnering with Fortune 500 companies to build world-class digital products.
We’re hiring a Lead Artificial Intelligence Engineer to lead AI enablement initiatives for a Cloud Security Tooling team.
You’ll architect production-grade Generative AI and Agentic AI workflows using RAG, Vector Databases, LLM APIs, Terraform, and Rego to automate cloud configuration, security compliance, drift detection, gap analysis, and remediation.
πŸ“ Location: Remote, India
πŸ’Ό Experience: 6+ years
⏱️ Employment: Full-time
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βœ… Must-Have Requirements
β€’ 6+ years of software engineering experience developing applications/services on public cloud infrastructure
β€’ 2+ years of cloud infrastructure deployment pipelines / IaC experience
β€’ 2+ years of Agentic AI development experience
β€’ Hands-on experience with RAG and Vector Databases
β€’ Experience integrating LLM APIs such as OpenAI or Anthropic
β€’ Strong AI application architecture experience
β€’ Proven technical leadership and technology strategy experience
β€’ Experience leading and mentoring distributed/global engineering teams
β€’ Ability to work effectively in an asynchronous, follow-the-sun environment
β€’ Upper-intermediate English communication skills
---
πŸ’Ό What You'll Do
β€’ Architect Generative AI workflows using RAG, Vector Databases, and LLM APIs
β€’ Automate generation of cloud configuration requirements, Rego policies, and Terraform modules
β€’ Develop AI-enabled drift detection, continuous discovery, and gap analysis
β€’ Accelerate cloud security response and remediation
β€’ Generate and validate compliant Terraform modules
β€’ Generate and validate Rego policies and Regula test cases for CI/CD pipelines
β€’ Design scalable and extensible AI frameworks
β€’ Drive technical strategy for AI enablement initiatives
β€’ Lead and mentor engineers across a distributed global team
---
βž• Nice to Have
β€’ LangChain / LangGraph
β€’ Hands-on Terraform experience
β€’ Rego / Open Policy Agent (OPA)
β€’ Regula test cases
β€’ Wiz Custom Configuration Rules
β€’ AWS, Azure, and GCP cloud security services
β€’ Cloud-native security and governance
β€’ PagerDuty, Atlassian Suite, or ServiceNow
---
πŸ”₯ Strong Candidates Will Have
Agentic AI + RAG + LLM APIs + Vector Databases + Cloud + IaC + Technical Leadership
Experience combining these areas in production environments will be highly relevant for this opportunity.
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πŸ› οΈ Key Tech Stack
Agentic AI β€’ Generative AI β€’ RAG β€’ Vector Databases β€’ LLM APIs β€’ OpenAI β€’ Anthropic β€’ Terraform β€’ IaC β€’ Rego β€’ OPA β€’ Regula β€’ AWS β€’ Azure β€’ GCP β€’ CI/CD β€’ Cloud Security
---
πŸ“© To Apply β€” DM Me
Please send:
1. Email ID
2. Total Experience
3. Software Engineering Experience
4. Agentic AI Experience
5. Generative AI / LLM Experience
6. OpenAI / Anthropic Experience
7. RAG Experience
8. Vector Database Experience
9. Terraform / IaC Experience
10. Rego / OPA / Regula Experience
11. Cloud Experience β€” AWS / Azure / GCP
12. Technical Leadership Experience
13. Current CTC
14. Expected CTC
15. Notice Period
16. Current Location
17. Updated Resume
🚨 Please do not use LinkedIn Easy Apply.
Send me a DM with the above details instead.

Work arrangement
Yes

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