Principal Engineer – GenAI & Applied AI

Codvo Private Limited; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A global technology services company in Pune is seeking a Principal Engineer – GenAI & Applied AI to lead the design and delivery of advanced AI systems. The ideal candidate will have extensive experience in AI engineering and LLMs, a strong command of Python, and familiarity with cloud AI services like AWS. This is an opportunity to shape the future of technology solutions in an inclusive environment.

Qualifications

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

Responsibilities

• Architect agentic workflows and conversational AI solutions.
• Build accelerators and reusable components on AI frameworks.
• Mentor engineers and set AI development best practices.

Skills

Python

AI engineering

LLMs/GenAI

Cloud AI services

Tools

LangChain

LangGraph

Haystack

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.