Software Engineer

Summary

Arkatechture is a nationally recognized data and technology company serving fintech, AI, and financial services organizations. The company is seeking a Software Engineer to support its Arkalytics platform and related data initiatives by developing full-stack software, cloud infrastructure, AI-powered features, and agentic workflows. The role also provides platform support, collaborates on AI prototypes and roadmaps, and mentors team members on AI practices and governance.

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

• 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
• Familiarity with data warehousing, BI, and analytics environments is required
• 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
• Experience with Docker, ECS, Fargate, Kubernetes, microservices, and event-driven architecture is a plus
• Working knowledge of Linux/Unix systems is nice to have
• Experience or interest in MLOps, model deployment, or integrating AI into software workflows is a plus
• 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

Qualifications

Must Haves

• 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
• Familiarity with data warehousing, BI, and analytics environments is required
• 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

Nice to Haves

• Experience with Docker, ECS, Fargate, Kubernetes, microservices, and event-driven architecture is a plus
• Working knowledge of Linux/Unix systems is nice to have
• Experience or interest in MLOps, model deployment, or integrating AI into software workflows is a plus
• 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

Benefits

• A flexible remote work policy with optional access to our Portland, Maine office
• A 4-day workweek after 3 years of service
• Generous paid time off, including 11 holidays
• Medical, disability, life insurance, and optional dental/vision
• 401(k) retirement plan with company match
• Training & certification reimbursement
• Milestone recognition programs, annual PTO increases, and more