Lead Artificial Intelligence Engineer | Agentic AI | RAG | LLMs | Cloud Security | Remote India
We are looking for a hands-on technical leader with strong expertise in AI Architecture &
- Strategy, Agentic AI, RAG, LLMs, cloud infrastructure, and Infrastructure as Code (IaC). The ideal candidate should be capable of designing and delivering enterprise-grade AI solutions while providing technical leadership to globally distributed engineering teams.
Location: Remote – India
Experience: 6 years
Engagement: Full-time
MUST-HAVE REQUIREMENTS
- AI Architecture &
- Strategy – CRITICAL MUST-HAVE
- Proven experience designing and implementing AI architectures and solutions.
- Robust hands-on experience with Agentic AI.
- Experience building solutions using RAG, vector databases, and LLMs.
- Hands-on experience with OpenAI, Anthropic, or comparable LLM platforms.
- Ability to translate business requirements into scalable AI solutions.
2.
Software
Engineering &
- Cloud Experience
- 6 years of software engineering experience, preferably working on public cloud platforms.
- Strong understanding of cloud-native architectures and application deployment.
- 2 years of experience building and maintaining cloud deployment pipelines and Infrastructure as Code.
- Agentic AI &
- Generative AI
- 2 years of hands-on experience with Agentic AI implementations.
- Practical experience with RAG architectures, vector databases, and LLM integrations.
- Experience developing and deploying AI-powered applications and workflows.
4.
Cloud
Infrastructure &
- Automation
- Hands-on experience with AWS, Azure, or GCP.
- Strong understanding of cloud infrastructure automation and deployment pipelines.
- Experience with Terraform and infrastructure automation practices.
5.
Technical
Leadership
- Experience providing technical leadership to engineering teams.
- Ability to lead architecture and engineering decisions.
- Experience working with global and distributed teams.
NICE-TO-HAVE SKILLS
- LangChain and LangGraph.
- Rego / Open Policy Agent (OPA).
- Regula.
- Terraform.
- AWS, Azure, or GCP cloud-native security.
- PagerDuty.
- Atlassian tools.
- ServiceNow.
- Cloud Security and DevSecOps experience.
Please follow these instructions carefully. Incomplete applications will be automatically rejected.
- Register and complete your application through LaunchPod.
- In the LaunchPod skills/requirements selection, make sure you select every relevant crucial and must-have skill listed below. Do not skip any skill that matches your actual experience.
- Explicitly mention these crucial and must-have skills in your resume,
with relevant project experience and hands-on contributions wherever applicable.
- Your LaunchPod selections and resume must accurately reflect your actual experience. If the required skills are not selected in LaunchPod or are not clearly mentioned in your resume, your application will be automatically rejected.
Crucial skills to select in LaunchPod and explicitly highlight in your resume:
- AI Architecture &
- Strategy – CRITICAL MUST-HAVE
- Agentic AI – minimum 2 years
- Generative AI and LLMs
- OpenAI / Anthropic or comparable LLM platforms
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Software Engineering – minimum 6 years
- Public Cloud Experience – AWS / Azure / GCP
- Cloud Infrastructure and Automation
- Infrastructure as Code (IaC)
- Cloud Deployment Pipelines – minimum 2 years
- Terraform
- Technical Leadership
- Architecture and Technical Decision-Making
- Global / Distributed Team Collaboration