Enterprise AI Engineer: LLMs, Agentic AI & Cloud Deployments

Vibehackers; Hinoba-an; On-site; PHP 1,643,000 - 2,366,000; Full time

Job summary

Cognitud Advisory Services is seeking a Forward Deployed Engineer to design, prototype, and deploy enterprise AI solutions across PAN India. You will work hands-on on Python, GCP Vertex AI, and Gemini APIs, building AI agents and orchestration workflows.

You will engage with customers and executives to shape architecture, deliver production-grade AI systems, and lead engineering efforts across multi‑tier roles.

Qualifications

• Strong hands-on experience in Python and API development.
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Responsibilities

• Build prototypes, solution accelerators, PoCs, and production‑grade AI applications using LLMs, RAG, and multi-agent/agentic AI frameworks.
• Develop APIs, microservices, and cloud‑native applications; implement REST integrations and third‑party system integrations.
• Implement prompt engineering, LLM application development, and orchestration of AI agents and agent workflows.
• Lead system design and scalable architecture (for senior/architect levels); deliver enterprise AI architectures and transformation programs.
• Work with containerization, Kubernetes, CI/CD, DevOps practices, and production deployment pipelines.
• Design and implement data engineering components, vector databases, and knowledge retrieval systems for AI workloads.
• Engage with customers and executive stakeholders for technical consulting, solution architecture, and delivery planning.

Skills

Python

API development

LLM workflows

Agentic AI

GCP Vertex AI

Gemini APIs

Cloud-native

Architectural design

Stakeholder comms

Solution delivery

Tools

Kubernetes

REST APIs

CI/CD

Docker

Microservices

DevOps practices

Job description

Cognitud Advisory Services is seeking a Forward Deployed Engineer to design, prototype, and deploy enterprise AI solutions across PAN India. You will work hands-on on Python, GCP Vertex AI, and Gemini APIs, building AI agents and orchestration workflows.

You will engage with customers and executives to shape architecture, deliver production-grade AI systems, and lead engineering efforts across multi‑tier roles.