AI Engineer

🕒 June 22

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Logo of VODA.ai®

VODA.ai®

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $10M Series A - VODA.ai on 2025-06

Artificial Intelligence • SaaS • B2B

VODA. ai is a company that provides an AI-driven decision-support platform for water utilities, helping them plan operations, detect weak and leaky pipes, reduce water loss, and prevent catastrophic failures. Founded in 2017, VODA. ai uses predictive analytics and domain expertise to analyze infrastructure data (over 1M miles of pipe across multiple countries and states) and deliver actionable insights to utility engineers and asset managers. The company operates as a B2B SaaS provider focused on simplifying engineering for water professionals and improving customer outcomes.

📋 Description

• Building and integrating AI-powered applications and services that enhance platform capabilities • Integrating APIs for external LLMs such as OpenAI, Anthropic, and Bedrock • Deploying open-source models like Llama in scalable environments • Contributing to in-house agent service and its integration into web application • Extending ReAct-Loop workflows with tool calling • Prompt engineering to improve system behavior • Developing functional primitives for real-time web GIS interactions • Designing and running evaluations against ground-truth datasets • Optimizing latency, response quality, and cost tradeoffs across AI systems

🎯 Requirements

• 3+ years of experience building production software in Python • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Bedrock, or equivalents) into real applications • Practical experience with agentic patterns: ReAct loops, tool/function calling, structured outputs, and prompt engineering for reliability • Solid software engineering fundamentals: API design, testing, version control, code review, and CI/CD • Experience designing and running evaluations for LLM systems against ground-truth datasets • Python, FastAPI, gRPC/protobuf, and Postgres experience • Expertise in AI frameworks like LangGraph, BAML, MLflow, and strong understanding of RAG and vector search patterns (Bedrock preferred)

🏖️ Benefits

• Health insurance • Flexible working arrangements • Professional development opportunities • Paid time off

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