Data Scientist
Kantiv (company site, opens in a new tab)1–3 yrsRemoteDirect career pageEst. 8–16 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and improve AI-powered applications using LLMs and foundation models to solve product problems in Kantiv's AI platform.
- Develop retrieval-augmented generation (RAG) pipelines and AI agents to enhance information retrieval and multi-step workflows with appropriate controls.
- Collaborate with backend engineers and product teams to integrate AI capabilities into APIs and ensure system performance, reliability, and cost optimization.
Minimum Requirements
- 1–3 years of experience in AI engineering, machine learning, software engineering, or related field (including strong internships or projects).
- Proficiency in Python with ability to write clean, modular, maintainable code.
- Understanding of LLM fundamentals, RAG techniques, embeddings, and vector search.
- Experience working with REST APIs, asynchronous operations, structured and unstructured data processing (using tools like Pandas, SQL).
Ideal Candidate Profile
- Experience building and deploying production LLM-powered applications beyond prototypes.
- Hands-on experimentation with AI agents, tool/function calling, and multi-step reasoning workflows.
- Familiarity with AI frameworks (e.g., LangChain), vector databases (e.g., Pinecone), evaluation tools, and cloud deployment of AI services.