Forward Deployed Engineer ( MD)

Vibehackers; Chennai District, Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Cognitud Advisory Services is seeking a Forward Deployed Engineer to design, prototype, and deploy enterprise AI solutions across PAN India. The role emphasizes hands-on Python development, LLM applications, agentic AI workflows, and customer-facing solution architecture.

Multiple levels—from Junior to Technical Architect—require cloud experience, AI tooling, and leadership in engineering delivery. Collaboration with stakeholders and production deployments are core aspects of the role.

Qualifications

• Strong hands-on experience in Python and API development.
• 2+ years experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs or similar AI platforms.
• Experience in prompt engineering, LLMs, RAG, agentic AI workflows, AI agents, and orchestration frameworks.
• Experience with REST APIs, microservices, containerization, CI/CD, and production deployment practices.
• Senior/Technical Lead: proven software engineering experience, system design expertise, customer-facing solution architecture, and leadership of engineering teams.
• Technical Architect: 15+ years experience designing large-scale secure and mission-critical platforms, enterprise AI and GenAI architectures, AI governance, security/compliance, and executive stakeholder management.

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

Vertex AI

Gemini APIs

LLM development

Kubernetes

CI/CD

Microservices

DevOps

Data engineering

Knowledge retrieval

Solution architecture

Stakeholder communication

Tools

REST APIs

Microservices

Containerization

DevOps tooling

Job description

Builds LLM and agentic AI systems using Vertex AI and Gemini; rapid prototyping and production deployment of AI agents and developer tooling.

About the Role

Forward Deployed Engineer position at Cognitud Advisory Services to design, prototype, and deploy enterprise AI solutions across PAN India. The role focuses on hands‑on Python development, GCP (Vertex AI and Gemini APIs), LLM application development, agentic AI workflows, and customer‑facing solution architecture.

Job Description

Role

Forward Deployed Engineer (multiple levels: Junior, Technical Lead, Technical Architect) supporting enterprise AI solution design, prototyping, and production delivery across PAN India. The role emphasizes hands‑on development, customer‑facing solutioning, and leading architecture and engineering efforts for LLM-based and agentic AI systems.

Key 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.

Requirements

• Strong hands‑on experience in Python and API development.
• Minimum ~4 years experience for junior‑level; 2+ years specifically with Google Cloud Platform (GCP), Vertex AI, Gemini APIs or similar AI platforms.
• Experience in prompt engineering, LLMs, RAG, agentic AI workflows, AI agents, and orchestration frameworks.
• Experience with REST APIs, microservices, containerization, CI/CD, and production deployment practices.
• Experience building prototypes, solution accelerators, enterprise integrations, and production deployments.
• Senior/Technical Lead: proven software engineering experience, system design expertise, customer‑facing solution architecture, and leadership of engineering teams.
• Technical Architect: 15+ years experience designing large‑scale secure and mission‑critical platforms, enterprise AI and GenAI architectures, AI governance, security/compliance, and executive stakeholder management.

Notes

• Job location: PAN India. Multiple seniority tiers are described (Junior, Technical Lead, Technical Architect) with varying experience expectations.
• Boilerplate/company marketing text removed.

Gemini APIs Vertex AI Google Cloud Platform (GCP) Python Agent Builder LLMs RAG Multi-agent systems REST APIs microservices Kubernetes containerization CI/CD DevOps vector databases knowledge retrieval systems

Skills

System Design API Development Cloud‑native Application Development Prompt Engineering LLM Application Development Agentic AI Workflows Microservices Containerization CI/CD Production Deployment Stakeholder Communication Customer‑facing Solutioning Prototyping Solution Architecture Technical Consulting Enterprise Integration Data Engineering AI Governance Security & Compliance Leadership Executive Stakeholder Management