7-12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture.
Proven track record developing and deploying GenAI/LLM-based systems in production.
Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks.
Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs.
Advanced understanding of prompt construction, optimization, and evaluation techniques.
End-to-end implementation experience using vector databases and retrieval pipelines.
Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
Are obsessed with clean code, system scalability, and performance optimization.
Can balance rapid prototyping with long-term maintainability.
Excel at working independently while collaborating effectively across teams.
Stay ahead of the curve on new AI models, frameworks, and best practices.
Have a founder's mindset and love solving ambiguous, high-impact technical challenges.
Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline
What We Offer
At Newpage, we're building a company that works smart and grows with agility--where driven individuals come together to do work that matters. We offer:
A people-first culture - Supportive peers, open communication, and a strong sense of belonging.
Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges.
Balance that lasts - We respect your time and support a healthy integration of work and life.
Room to grow - Opportunities for learning, leadership, and career development, shaped around you.
Meaningful rewards - Competitive compensation that recognizes both contribution and potential.
Job Types: Full-time, Permanent
Pay: Up to ₹4,000,000.00 per year
Work Location: In person
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