Principal Engineer – GenAI & Applied AI

Codvo.ai; Pune District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A global technology services company seeks a Principal Engineer – GenAI & Applied AI in Pune, India. You'll lead the design and delivery of agentic systems and LLM-powered applications, mentor engineers, and set best practices. Ideal candidates have 8+ years in software/AI engineering, with a strong focus on LLMs and cloud AI services. Competitive compensation and growth opportunities are offered.

Qualifications

• 8+ years in software/AI engineering, with 3+ in LLMs/GenAI.
• Deep expertise in Python, orchestration frameworks, vector search.
• Strong exposure to cloud AI services like AWS Bedrock, Azure AI Foundry, GCP Vertex AI.

Responsibilities

• Architect agentic workflows and RAG systems.
• Build accelerators and reusable components.
• Integrate LLMs with databases and APIs.
• Implement AI evaluation and prompt optimization.
• Mentor engineers and establish best practices.

Skills

Python

LLMs/GenAI

Orchestration frameworks

Vector search

Cloud AI services (AWS, Azure, GCP)

Job description

Principal Engineer – GenAI & Applied AI

Company Overview

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Role Overview

We are seeking a hands-on GenAI engineering leader to design and deliver agentic systems, RAG pipelines, and LLM-powered applications. You will be the go-to authority for applied AI architectures that move from prototype to enterprise production.

Responsibilities

• Architect agentic workflows, RAG systems, conversational AI solutions.
• Build accelerators and reusable components on frameworks like LangChain, LangGraph, Haystack.
• Integrate LLMs with vector databases, APIs, enterprise data sources.
• Implement AI evaluation, prompt optimization, safety guardrails.
• Mentor engineers, review code, set AI development best practices.

Qualifications

• 8+ years in software/AI engineering, with 3+ in LLMs/GenAI.
• Deep expertise in Python, orchestration frameworks, vector search.
• Strong exposure to cloud AI services (AWS Bedrock, Azure AI Foundry, GCP Vertex AI).
• Track record of shipping production-grade AI systems.