Senior Software Development Engineer – Technical Lead, AI Focus

atDelan Associates Inc.Remote

United States Freelance Full-stack EngineerSenior

Posted 2 days ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a team of developers in the development of new applications and modernization initiatives, while remaining actively engaged in design, coding, reviews, testing, and troubleshooting.

• Establish the technical direction for projects, encompassing architecture, integration patterns, modernization strategies, engineering standards, delivery methodologies, and technical risk management.

• Utilize AI-assisted development tools for code comprehension, generation, refactoring, testing, documentation, and migration planning, validating results through engineering judgment.

• Design and construct tailored agents and agentic workflows utilizing LangGraph, A2A, MCP-enabled tools, or similar technologies.

• Facilitate the modernization of existing applications by analyzing legacy code, recognizing business logic and constraints, defining target architecture, and developing incremental transformation roadmaps.

• Make informed architectural decisions regarding APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience.

• Mentor developers in software engineering practices, AI-assisted delivery methods, secure coding, automated testing, maintainable design, and code reviews.

• Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to convert business requirements into technical plans.

• Identify and manage risks associated with AI-generated software, such as brittle code, hidden assumptions, inadequate tests, security vulnerabilities, licensing issues, maintainability gaps, and architectural drift.

• Develop reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices to support modernization efforts.

⛳️ Requirements

• Extensive hands-on software development experience in delivering production-quality applications.

• Proven experience in leading a team of developers, including mentoring, code reviews, technical planning, delivery guidance, and issue resolution.

• Demonstrated experience in establishing the technical direction for software delivery projects, including architectural decisions, engineering standards, delivery methodologies, and technical risk management.

• Proficiency in at least one modern programming language, such as Java, Python, JavaScript/TypeScript, C#, Go, or similar technologies.

• Experience in new application development, application modernization, or both.

• Practical experience with AI-assisted development tools for coding, refactoring, testing, documentation, debugging, code comprehension, and architectural exploration.

• Experience in 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 in building or prototyping agents using LangGraph, A2A, MCP-enabled tools, or comparable 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 opportunities for modernization, define target-state architecture, and develop incremental transformation plans.

• Excellent communication skills to convey technical direction clearly to developers, architects, stakeholders, and client teams.

• A growth mindset and enthusiasm for the influence of AI on software development.

• Preferred: experience in modernizing legacy applications, architecting cloud-native applications, utilizing agent and orchestration frameworks, designing enterprise-integrated agents, defining architectural guardrails and engineering playbooks, DevSecOps, RAG, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, agent observability, and Agile delivery environments.