Senior AI-Driven Software Engineer & Tech Lead

Triwill Group; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Doist in the United States is seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to guide teams building new applications and modernizing existing ones. You will work on an AI-Led Application Modernization initiative, shaping how teams design, test, and maintain software with responsible AI adoption.

You will both write code and mentor peers, set technical direction, review AI outputs, and drive delivery patterns that balance speed with security and quality across

Qualifications

• Significant hands-on software development experience delivering production-quality applications.
• Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution.
• Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management.
• Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies.
• Experience with AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration.
• Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements.
• Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks.
• Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support.
• Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans.
• Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams.
• Growth mindset and enthusiasm for how AI will reshape the software development profession.

Responsibilities

• Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations.
• Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions.
• Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge.
• This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability.
• Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management.
• Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment.
• Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies.
• Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations.
• Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review.
• Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans.
• Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift.
• Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively.

Skills

Team leadership

Mentoring

Software architecture

AI-assisted development

Code review

Communication

Java

Python

Education

Bachelor's degree in Computer Science

Tools

LangGraph

A2A

MCP-enabled tools

OpenAI API

Anthropic API

Job description

Doist in the United States is seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to guide teams building new applications and modernizing existing ones. You will work on an AI-Led Application Modernization initiative, shaping how teams design, test, and maintain software with responsible AI adoption.

You will both write code and mentor peers, set technical direction, review AI outputs, and drive delivery patterns that balance speed with security and quality across