Senior AI Engineer
Date: Apr 21, 2026
Location: IN
Company: Aurigo Software Technologies
About Aurigo
Aurigo is an AI‑native capital program management platform trusted by over 300 customers managing more than $300 billion in capital programs across North America. With over 40,000 projects delivered, Aurigo helps organisations in transportation, water and utilities, healthcare, higher education, and government plan, build, and manage infrastructure with confidence. Recognised as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we leverage artificial intelligence to create smarter, more connected outcomes. At Aurigo, we don’t just build software—we help shape the future of infrastructure.
Description:
As a Senior AI Engineer, you will design, build, and deploy LLM-powered AI agents and platforms that automate high-impact workflows across Engineering, Sales, Marketing, Presales, HR, Finance, and Business teams.
You will take AI ideas from concept to production, owning agent architecture, model integration, backend systems, and user-facing AI experiences
Requirements:
- AI & LLM Engineering: Strong hands‑on experience building LLM‑powered applications and AI agents using modern agent frameworks.
- Large Language Models: Practical experience with models such as GPT‑4, Claude, Llama, or Mistral, including prompt design and evaluation.
- RAG & Vector Search: Experience designing RAG systems using vector databases such as Pinecone, pgvector, FAISS, or Weaviate.
- Frontend Development: Strong proficiency in React JS with TypeScript, modern state management, and component‑driven design.
- Backend & Integration: Ability to integrate AI systems with APIs, databases, and enterprise platforms.
- Cloud & Infrastructure: Hands‑on experience deploying applications on AWS and working with containerized environments.
- Databases: Working knowledge of MSSQL Server and PostgreSQL, including query optimization and schema design.
- Engineering Maturity: Experience taking systems from prototype to production with reliability, security, and scalability.
Competencies