Software Engineer, AI

Department: Arkalytics - Services

Employment Type: Full Time

Location: Remote

Description

• 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!

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

• 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

• 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.