Applied AI & Workflow Automation Engineer (Environmental)

Achieve Environmental LLC; Boston (MA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

ACHIEVE ENVIRONMENTAL is seeking a full-time Applied AI & Workflow Automation Engineer for a hybrid position in the Greater Boston area. This role turns complex, document-heavy processes into reliable software, designing, building, and maintaining automations and AI tools for environmental permitting, compliance, and reporting.

You will build data pipelines ingesting DAS exports, lab reports, stack tests, and regulatory documents, with emphasis on accuracy, audit trails, and human oversight.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or a closely related technical discipline.
• At least three years of professional experience building workflow automations, system integrations, data pipelines, or AI-enabled applications.
• Strong programming skills in Python and working knowledge of SQL and data modeling.
• Hands-on experience integrating REST APIs, webhooks, and cloud-based services.
• Practical experience applying large language models to business workflows, including prompt design, structured outputs, retrieval, and evaluation.
• Experience extracting and structuring data from documents such as PDFs, spreadsheets, and scanned reports.
• Familiarity with version control, automated testing, and deployment practices.
• Meticulous attention to detail, data quality, and documentation.
• Excellent communication skills and the ability to work directly with non-technical subject matter experts and clients.
• Ability to work effectively in a hybrid arrangement in the Greater Boston area and collaborate with multidisciplinary teams.

Responsibilities

• Design, build, and maintain workflow automations and system integrations that streamline environmental permitting, compliance, and reporting processes.
• Develop data pipelines that ingest, validate, and organize data from DAS exports, spreadsheets, laboratory reports, stack tests, monitoring reports, and other sources.
• Build applied AI tools that use large language models for document extraction, classification, summarization, search, and drafting.
• Develop retrieval-augmented search and question-answering tools over permits, regulations, agency guidance, and internal knowledge bases.
• Connect business applications, document management systems, and cloud services through APIs and webhooks.
• Build dashboards, reports, and internal tools that help consultants and clients track compliance obligations, deadlines, and emissions data.
• Establish testing, evaluation, and quality control practices for automations and AI outputs, including accuracy checks, logging, and audit trails.
• Implement security, access control, and data-handling practices that protect confidential client information.
• Monitor, troubleshoot, and continuously improve deployed systems, and update them as permits, regulations, and operations change.
• Document systems clearly and train consultants and client personnel to use them effectively.
• Collaborate with environmental engineers and scientists to translate regulatory and operational requirements into technical specifications.

Skills

Python

SQL

Data modeling

REST APIs

Webhooks

AI applications

Documentation

Education

BS in CS/Software Engineering

Tools

Cloud platforms

Git

Job description

ACHIEVE ENVIRONMENTAL is seeking a full-time Applied AI & Workflow Automation Engineer for a hybrid position in the Greater Boston area. This role turns complex, document-heavy processes into reliable software, designing, building, and maintaining automations and AI tools for environmental permitting, compliance, and reporting.

You will build data pipelines ingesting DAS exports, lab reports, stack tests, and regulatory documents, with emphasis on accuracy, audit trails, and human oversight.