
**Expert AI Developer Position Available**
5 days ago
The role of an AI Engineer is to design and develop intelligent systems that can learn from data, reason, and interact with users in a natural way. As an AI Engineer at Mightybot, you will be working on building reliable, self-improving systems that empower subject matter experts to automate their most complex, high-value work.
This involves developing products that are fully enabled by the capabilities of Large Language Models (LLMs) and other recent developments in foundation models. You will evaluate and assimilate emerging techniques into our production systems.
Key Responsibilities- AI-Enabled Products: Develop products that leverage the capabilities of LLMs and other recent developments in foundation models.
- High-Performance Search and RAG: Build and optimize our data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG).
- Develop Evaluation Frameworks: Create robust frameworks to evaluate the performance of our agents, RAG systems, and various LLMs.
Required Skills and Qualifications
- Software Engineering or Data Science Experience: 1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms.
- Ai Agents, Data Systems, or Machine Learning Engineering Background: Strong background in either AI agents, data systems, or machine learning engineering.
- Modern Python Microservices: Modern Python microservices with FastAPI, Ray.IO for distributed AI workloads, and Kubernetes orchestration - powering enterprise-scale AI agent execution with gRPC inter-service communication and Google Cloud Pub/Sub event streaming.
- Ai Agent Stack: Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm.
- Recent Demonstrated Experience: Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases.
About Our Team
We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and shipping code.
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