Tellius enables organizations to get faster insights from their data using AI-powered automation. Any user can ask any question across billions of records via a Google-like interface, understand “why” metrics change via automated insights that surface hidden key drivers and trends, and get predictive recommendations — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc and exploratory data analysis, root-cause/trend insights and anomaly detection, and business-friendly advanced analytics.
Reports to: Vinod Iyengar, VP Product.
Overview:
Tellius is looking for an innovative AI Engineer to design and build a sophisticated conversational interface and agentic platform, which will bring the power of our advanced analytics directly into user interactions. This position calls for a strategic thinker and skilled engineer who is passionate about creating AI-driven experiences that feel intuitive and adaptable.
Key Responsibilities:
- Develop, integrate, and optimize a conversational interface that allows users to interact naturally with Tellius, from querying insights to performing complex data tasks.
- Build agentic systems that enable autonomous workflows, allowing users to conduct multi-step processes seamlessly through conversational prompts.
- Implement and enhance Retrieval-Augmented Generation (RAG) capabilities, ensuring that the conversational interface pulls relevant, accurate information for real-time interactions.
- Use frameworks like LangChain and LangGraph to structure conversational flows and develop agentic capabilities, enhancing the interface’s responsiveness and personalization.
- Collaborate with cross-functional teams to integrate the conversational interface with Tellius’s broader analytics platform, ensuring a cohesive and high-performing user experience.
Requirements:
- Strong experience with conversational AI, particularly LLMs, and natural language processing to drive intuitive, accurate interfaces.
- Proven experience with agentic platforms and frameworks like CrewAI, AutoGen, LangChain, or LangGraph to build autonomous conversational agents.
- Proficiency in Python and experience working in environments requiring high efficiency and optimized performance.
- Hands-on experience with Retrieval-Augmented Generation (RAG) techniques and integration for conversational and agent-based platforms
- Large Language Models (LLMs): Experience with fine-tuning and deploying models like GPT-3/4, IBM Granite, or similar for text-to-SQL tasks.
- Semantic Search and Vector Databases: Proficiency with vector databases (e.g., Chroma DB, Pinecone) and ranking algorithms (BM25, cross-encoder models).
- A collaborative approach to problem-solving and an innovative mindset to bring new conversational and agentic capabilities to the platform.
Why Join Tellius?
Tellius is transforming the way businesses use data with our AI-native analytics platform. As part of our team, you'll have the opportunity to shape the future of data analytics while making an immediate impact on our growth and success. We offer a collaborative, fun, and fast-paced environment, with continuous professional development and growth opportunities.
Be part of a diverse and inclusive team that values innovation and strives for excellence. If you're ready to take on a leadership role where you can make a real difference, we’d love to hear from you!
Top Skills
What We Do
Tellius is leading the era of decision intelligence with a guided insights platform powered by machine learning so anyone can uncover the 'what' and the 'why' in the data. Created by a team with deep expertise in big data analytics and automated intelligence, Tellius accelerates data-driven insight and decision making for many industries such as pharmaceuticals, financial services, consumer goods, and high technology, and across many departments such as sales, marketing, and operations. Founded in 2016, Tellius is Series A funded, fast growing startup headquartered in Reston, Virginia, with additional locations in San Francisco, California, and Bangalore, India.
 (1).png)
