Software Engineer, AI

Department: Arkalytics - Services

Location: Remote

Description

Why Work Here?
At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars: Do something meaningful, With a great team, Earning what you deserve.

We started in 2012 with a passion for data, business, and getting things done. We are a team of data lovers and technical experts who use our skills to help businesses big and small harness, utilize, and optimize their data. As New England’s Data Resource, we are a small company constantly evolving to keep up with changing landscapes in the data world.

We are proud of the community and culture that we’ve created at Arkatechture, and we have no intention of slowing down. We offer a competitive benefits package that includes:

• A flexible work-from-home policy (work 100% remote!)
• Open-concept office in Portland, ME with an easy-going dress code, and fresh pots and pops all day (that’s coffee and popcorn!)
• Training & certificate reimbursement
• A competitive benefits package that includes medical, disability, life insurance and optional dental/vision
• 401K Retirement planning with company matching
• Generous paid time off and eleven paid holidays
• Employee recognition through milestone awards including annual PTO increases, as well as a 4 day work-week at 3 years of service!

All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.

The Position
Arkatechture is seeking a Software Engineer with experience with AI (GenAI and Agentic workflows) to support our Arkalytics platform and other initiatives related to Data Warehousing, Business Intelligence, and Advanced Analytics. We're looking for a self-starter who is enthusiastic about AI, software, data, and emerging technologies—especially those at the intersection of AI and engineering.

The ideal candidate is experienced in full-stack development, cloud infrastructure, and data systems, and is excited to explore and apply AI to solve real-world problems, increase team productivity and velocity, automate workflows, and enhance user experiences.

How to Apply
Please send a cover letter and resume with your application. You must submit both documents to be considered for the position.

Key Responsibilities

• Gather technical requirements, contribute to architectural decisions, and create clear documentation.
• Identify, design, and implement process improvements such as AI-powered automation, intelligent error detection, or optimization algorithms.
• Design and develop high-quality, maintainable software that meets product and business requirements
• Leverage AI/ML techniques to build features or tools that improve platform intelligence, productivity, efficiency, or user interactions
• Collaborate on proof-of-concepts and prototypes for incorporating AI into our products (Arkalytics) or development workflows
• Build agents to write and maintain unit/integration tests; conduct code reviews to ensure best practices safely
• Provide ongoing support, troubleshooting, and enhancements to existing systems and platforms
• Communicate effectively with both technical and non-technical stakeholders, including clients
• Work with Product owner and CTO in realizing the AI roadmap for Arkalytics (Chatbots, knowledgebases)
• Mentor team members in AI-related best practices and development approaches and develop and implement AI policies for guardrails
• Participate in Agile ceremonies, daily standups, and cross-functional planning sessions.
• Contribute to Tier 2 and 3 production support and service desk escalations
• Continuously learn and bring forward-thinking AI ideas to the team and spear-head the implementation of such ideas
  
  

Skills, Knowledge and Expertise

Requirements

• 3 years in a software engineering or similar individual contributor role.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• Proven experience building AI agents and working with MCP servers is a must
• Proven experience using AI/ML libraries or frameworks
• Experience working with AI first code editors such as Cursor, Windsurf, Replit agent etc
• Strong experience with Python and object-oriented programming is required
• Experience with cloud platforms, especially AWS (Lambda, S3, EC2, SageMaker, etc.) is required
• Familiarity with data platforms such as Snowflake or Databricks is required
• Experience with REST APIs, SDKs, and CLI tools is a must
• Strong understanding of data formats such as JSON, XML, CSV, and flat files
• Experience with Docker, ECS, Fargate, Kubernetes, microservices, and event-driven architecture is a plus.
• Working knowledge of Linux/Unix systems is nice to have
• Familiarity with data warehousing, BI, and analytics environments is required
• Experience or interest in MLOps, model deployment, or integrating AI into software workflows is a plus
• Experience with Git is a must
• Experience using tools like Jira, Confluence, Slack, and Agile frameworks
• AI certifications (GenAI, Agentic AI) or AWS Certification (e.g., Developer Associate or Solutions Architect) is required
• Financial services experience is a plus
• Experience with CI/CD pipelines is a plus

Bonus Points For:

• Building AI-enhanced features (e.g., intelligent alerts, chatbots, knowledgebases but also agents for increasing productivity - what agents are you bringing to the job?).
• Knowledge of ethical AI practices, model explainability, or AI governance frameworks.