Remote - India Remote (Country) Employment

MightyBot is hiring an AI Engineer

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
  • 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
  • AI Agent Stack: LlamaIndex, LangGraph, SmolAgent, Instructor, Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers, FAISS
  • Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases

Nice to Have

  • Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm
Required Skills
Software Engineering or end-to-end DataPythondata-oriented algorithmsbuilding agentstrainingevaluating emerging LLMsbuilding RAG systemsor working with vector databasesour core technologies is a plus Software Engineering or end-to-end DataPythondata-oriented algorithmsbuilding agentstrainingevaluating emerging LLMsbuilding RAG systemsor working with vector databasesour core technologies is a plus
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About company
MightyBot

A policy-driven AI agent platform for regulated workflows. MightyBot turns plain-English policies, messy documents, and system data into deterministic execution plans that process work, enforce rules, and produce audit-ready evidence across lending, insurance, payments, and compliance operations.

Designed for the hardest workflows that have resisted automation for decades, MightyBot enables systems of record to become systems of action. Data flows in through the data engine, policies compile into agent execution, and decisions move across enterprise integrations—processing work continuously, autonomously, and without human intervention.

The platform ensures every decision is traceable and every action defensible, with regulatory-grade audit trails, managed backtesting, and collaborative policy refinement. It supports closed-loop improvement where every correction compounds and every deployment gets smarter over time.

MightyBot is built for production-grade AI in regulated industries, where mistakes are unacceptable and nuance matters—delivering 99%+ accuracy in 30 days, 95% task time reduction, and 10x throughput per administrator.

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Job Details
Department Engineering
Category other
Posted 2 months ago