ML Engineer

Job Description

**What You'll Do**

* Develop **AI-driven reasoning agents** **and frameworks**for automating complex tasks.
* Build and optimize **RAG (Retrieval-Augmented Generation) pipelines**
* Distill and fine-tune **AI models** to improve reasoning, automation, and decision-making.
* Deploy AI models into **scalable, production-ready systems** using Python and cloud-based infrastructure.
* Collaborate closely with researchers to **operationalize AI advancements into real applications**.

**What We're Looking For**

* **Proven experience** building and deploying **AI applications** (ideally in a startup or fast-moving environment).
* Hands-on expertise with **agentic frameworks** (e.g., **AutoGen, CrewAI, LangChain, DSPy, or Haystack**).
* Strong background in **AI-powered automation \& orchestration workflows**.
* Experience working with **vector databases and retrieval systems** (e.g., **LlamaIndex, FAISS, Pinecone, Weaviate**).
* **Some experience with fine-tuning AI models is a big plus**, but not required.
* Solid coding skills in **Python**, familiarity with cloud deployment tools (AWS, GCP, or Azure).

**Who Should Apply?**

* You've **built AI-powered applications**---at a startup, in open-source projects, or in a side hustle.
* You're excited about **agentic AI** and **building autonomous workflows** that solve real problems.
* You want to be part of a **small, fast-moving team** where your work directly impacts the product.
* You're comfortable with ambiguity and love **figuring things out** in a fast-paced startup.