Principal Engineer – GenAI & Applied AI

India·Punelead

OtherPrincipal Engineer

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Quick Summary

Overview

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.

Key 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.

Requirements Summary

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).

Technical Tools

awsazuregcplangchainpython

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.

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

~1 min read

→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.

Requirements

~1 min read

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.