Senior Software Engineer – AI Platform

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $170k - $210k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Accela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

💼 Consulting

📦 Logistics

🏗️ Construction

Consulting • Logistics • Construction

Accela is a leader in providing cloud-based solutions designed to modernize government services. Their unified suite of innovative applications focuses on building more connected communities through enhanced efficiency and secure data management. Accela empowers local and state governments by streamlining processes such as building permits, licensing, cannabis regulation, and environmental health. With a focus on civic solutions, Accela aims to improve public sector operations by eliminating data silos and facilitating better interactions with residents. By leveraging their SaaS platform, governments can enhance service delivery, increase transparency, and reduce operational costs, leading to significant time and cost savings.

📋 Description

• Design, develop, and optimize prompts for Vision-Language Models supporting document classification, text extraction, and code compliance validation • Design, build, and maintain automated AI evaluation pipelines measuring accuracy, latency, precision, recall, F1 score, cost, and other quality metrics • Evaluate and benchmark Azure OpenAI, Google Gemini, and other foundation models • Implement structured output extraction using function calling, JSON mode, Pydantic models, and schema validation • Design, develop, and maintain Python-based AI services using FastAPI and asynchronous programming • Partner with Product Management, Construction SMEs, and Engineering leadership to define technical strategy and translate regulatory and business requirements into scalable AI platform capabilities • Monitor, troubleshoot, and resolve production issues across AI inference services, application layers, and cloud infrastructure • Optimize AI workflows for scalability, reliability, latency, and operational efficiency while managing inference costs • Contribute to architectural decisions involving AI services, cloud infrastructure, model orchestration, and application integration • Mentor engineers and contribute to engineering best practices, code quality, technical design reviews, and knowledge sharing • Lead the technical design and architecture of AI platform capabilities • Drive technical direction through architecture reviews, engineering standards, and cross-functional collaboration on complex AI initiatives

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience • Strong experience designing prompts and workflows for Vision-Language Models (VLMs) and Large Language Models (LLMs), including GPT-family and Gemini models or equivalent • Demonstrated experience designing AI evaluation frameworks, including datasets, accuracy metrics, precision, recall, F1 scoring, and per-example analysis • Strong understanding of multimodal AI systems combining document images with natural language prompts • Strong experience with Python, FastAPI, Pydantic, asynchronous programming, and API development • Experience optimizing AI systems for inference cost, latency, scalability, reliability, and operational performance • Strong analytical, troubleshooting, and problem-solving skills • Excellent written and verbal communication skills, with the ability to collaborate effectively across cross-functional teams • Experience with Azure OpenAI Service, Google Vertex/Gemini, or comparable enterprise AI platforms • Experience building AI-powered document processing, document intelligence, or intelligent automation solutions • Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, or agentic AI workflows • Experience deploying and operating AI applications using Azure cloud services, Docker/Kubernetes, and CI/CD pipelines • Experience developing modern web applications or data-intensive user interfaces using React, Next.js, or similar frameworks • Background in Architecture, Engineering, Construction (AEC), permitting, or regulatory compliance software

🏖️ Benefits

• Annual bonus target; discretionary bonus based on company and individual goal achievement • Flexible time off • Comprehensive medical, dental, and vision plans • Family planning benefits • 401(k) retirement savings plan with company match • Health savings account with company contributions • Flexible spending account • Life, accident, and disability coverage • Business travel insurance • Employee assistance programs • Other well-being benefits