[PGEUUQ4S] AI Engineer

ZettaMine Labs Pvt. Ltd.; Hyderabad; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

ZettaMine Labs Pvt. Ltd. in Hyderabad, India is seeking an experienced AI software engineer to lead development of GenAI applications across the full SDLC in a hybrid setup (3 days in office).

You will collaborate with onshore teams, design scalable ML systems, and deliver reusable platform components, with focus on production readiness, monitoring, and reliable operations for enterprise-grade AI solutions.

Qualifications

• 5 years of full AI SDLC experience designing, developing and implementing large-scale ML/GenAI apps.
• Strong Python and software engineering fundamentals for production-grade AI.
• Experience collaborating with onshore teams in hybrid work setups.

Responsibilities

• Collaborate with onshore team and stakeholders to deliver GenAI solutions.

Skills

AI Production Eng

Platform mindset

Operational readiness

Education

Masters in CS/CE/Engineering or related field

Tools

MLOps tooling

Cloud ML tooling

Job description

Experience Required: 5-13 Years

Job Description:

General but overlap with onshore team would be required

Working Mode – Hybrid – 3 days from office

Description

5 years of full AI Software Development Life Cycle SDLC experience designing developing and implementing largescale machine learningGen AI applications

Top 3 Must Have Skills

• Production AI Engineering Python building and operationalizing MLGenAI services with strong software engineering fundamentals
• Platform mindset reuse building shared componentstemplatespatterns used by multiple teams not one off implementations
• Operational readiness for AI monitoringtelemetry production maintenance practices and reliabilityfocused troubleshooting

Nice to Have Skills

• Masters degree in Computer Science Computer Engineering Technology Information Systems CISMIS Engineering or related technical discipline or equivalent experiencetraining
• Experience building platform capabilities for AIML or GenAI solutions in a regulatedenterprise environment including registry patterns toolagent registries private registries grounding patterns retrieval memory context budgeting and production hardening reference implementationsaccelerators that drive adoption at scale etc
• Prior experience developing and implementing generativebased AI solutions using LargeLanguage Models LLMs eg Open AI GPT Google Gemini Llama
• Exposure to cloud ML tooling and MLOps practices in enterprise environments
• Airline Industry experience