AI Engineer

MightyBot is a rapidly growing startup focused on developing AI tools that automate complex business challenges. As an AI Engineer, you will build reliable, self-improving systems and create AI-enabled products that empower subject matter experts to make critical decisions.

Responsibilities:

• Build AI-Enabled Products: Develop products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. You will evaluate and assimilate emerging techniques into our production systems
• 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. We take a polyglot approach to working with LLMs, with a strong preference for getting workloads running on open-source models

Requirements:

• 1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms
• Strong background in either distributed AI agents, data systems or machine learning engineering
• 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: LlamaIndex, LangGraph, SmolAgent, Instructor, Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers, FAISS - building sophisticated AI agent orchestration with tool coordination, vector search, and real-time data processing
• Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases. We encourage you to share your projects with us!
• Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm