Forward Deployed Engineer (FDE)

Orcapod Consulting Services; Chennai District; Hybrid; INR 1,200,000 - 1,600,000; Full time

Job summary

Orcapod Consulting Services in Chennai seeks an experienced AI Platform Engineer to work hands-on with product, architecture, engineering, QA and UX teams to operationalize AI-DLC practices.

The role focuses on AI-assisted development, prompt engineering, reference architectures, and MLOps/LLMOps, with emphasis on coaching teams and capturing reusable best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience
• Hands-on experience delivering cloud-native and enterprise applications
• Experience with AI-assisted development tools and modern software engineering practices
• Strong coding and solution architecture background
• Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform
• Preferred: AWS/Azure/GCP certifications
• Preferred: Experience in AI platform engineering and MLOps/LLMOps
• Preferred: Financial Services domain experience

Responsibilities

• Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.
• Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.
• Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.
• Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.
• Support brownfield semantic modeling and legacy system knowledge extraction.
• Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.
• Capture delivery learnings and convert them into reusable best practices.

Skills

Prompt engineering

Context engineering

Python

Java

JavaScript

Cloud development

DevOps

CI/CD

GitHub

LLM integration

MLOps

Semantic modeling

Knowledge graph

Coaching

Collaboration

Education

Bachelor's degree in CS/Engineering

Tools

GitHub Copilot

Cursor

Replit

AWS

Azure

GCP

Job description

Job Description

• Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.
• Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.
• Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.
• Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.
• Support brownfield semantic modeling and legacy system knowledge extraction.
• Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.
• Capture delivery learnings and convert them into reusable best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience
• Hands-on experience delivering cloud-native and enterprise applications
• Experience with AI-assisted development tools and modern software engineering practices
• Strong coding and solution architecture background
• Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform
• Preferred: AWS/Azure/GCP certifications
• Preferred: Experience in AI platform engineering and MLOps/LLMOps
• Preferred: Financial Services domain experience

Technical & Soft Skills

• Prompt engineering and context engineering
• Python, Java, JavaScript, or modern cloud development stack
• DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.
• GenAI platforms and LLM integration, MLOps / LLMOps
• Semantic modeling and knowledge graph concepts
• Coaching and mentoring experience
• Collaboration across cross-functional teams
• Strong verbal and written communication