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Principal Engineer – GenAI & Applied AI at Codvo.ai

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GenAI, Applied AI, Python, Orchestration Frameworks, Vector Search, Cloud AI Services, AWS Bedrock, Azure AI Foundry, GCP Vertex AI, AI Evaluation, Prompt Optimization, Safety Guardrails, Mentoring, Code Review, Best Practices

Industry

Software Development

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.

Responsibilities

The role involves architecting agentic workflows and building conversational AI solutions. You will also be responsible for integrating LLMs with various data sources and mentoring engineers.