Artificial Intelligence Engineer

Exp required: 7-8 years

Key expertise: NLP, NLU, Agentic AI, Hands on experience with LLM (openai, llama), RAG, Vector DB, Data Versioning, ETL

Experience: In building, testing and deploying GenAI applications which queries multiple data sources, aggregate data and present it to user. Data sources could be DB, CSV, API calls.

Regular Tech: Kafka, Spark, Fast API, Flask, Mongo, Postres

Cloud: Azure, AWS (Preference Azure). Should have knowledge about AI, ML services provided by cloud platforms

TDD is not must but ability to write unit tests is must.

Perks

• Object Bootcamp
• Sabbatical Leaves
• Parental Leaves
• Office Perks (Free Meal, Snacks)
• Career Oriented Work

Culture

• Open Culture
• Flat Hierarchy
• 360-degree feedback
• Mentorship Program
• People Supportive
• Competitive & Friendly Environment