Senior AI Enabled Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

As a Senior AI Enabled Engineer, you will contribute to the full software development lifecycle, combining strong engineering fundamentals with AI-enabled workflows and collaborative client delivery. Your responsibilities will include:

• Full-Stack Development: Design, build, test, and maintain modern software applications across frontend and backend systems.

• Backend Engineering: Develop scalable services, RESTful APIs, and integrations that support reliable, high-performance applications.

• Frontend Development: Build responsive, user-friendly interfaces using React, Next.js, or comparable frameworks.

• Software Quality and Architecture: Write clean, maintainable, well-tested code and participate in architecture discussions, technical design sessions, and code reviews.

• AI-Enabled Development: Use AI-assisted coding tools and modern developer workflows to improve productivity, code quality, and delivery efficiency.

• AI Integration: Implement AI-powered application features, LLM integrations, and automation workflows where they provide meaningful business value.

• Emerging Technology Evaluation: Explore technologies such as LangChain, Model Context Protocol (MCP), and related AI frameworks, applying sound engineering judgment when selecting tools.

• Agile Delivery: Collaborate with product managers and product owners to refine backlogs, clarify requirements, break down work into manageable tasks, and contribute to estimates and release planning.

• Team Collaboration: Participate in sprint planning, daily stand-ups, retrospectives, and other activities that promote transparency and continuous improvement.

• Client Engagement: Work directly with client stakeholders, participate in technical discussions and demonstrations, and communicate implementation approaches, trade-offs, and risks.

• Continuous Improvement: Help teams adopt modern engineering practices and integrate AI capabilities into products and workflows in ways that remain practical, scalable, and maintainable.

Requirements:

The ideal candidate is an experienced software engineer who combines full-stack development capabilities with strong technical judgment, collaborative communication, and an interest in applying AI to real-world engineering challenges. The following qualifications are required:

• At least 4 years of professional experience as a Software Engineer, Full-Stack Engineer, Backend Engineer, or in a comparable role.

• Strong experience building backend services and APIs using Java, Python, Ruby, or similar programming languages.

• Experience developing modern frontend applications with React, Next.js, or comparable frameworks.

• Solid knowledge of relational and NoSQL databases.

• Strong understanding of RESTful APIs, distributed systems, and scalable software architectures.

• Familiarity with AI-assisted development tools and modern software engineering workflows.

• Exposure to integrating AI capabilities or large language model APIs into software applications.

• Understanding and practical application of Test-Driven Development (TDD) and pair programming.

• Experience working in Agile delivery environments, including Scrum or Kanban.

• Strong communication and collaboration skills, with the ability to work effectively in client-facing consulting engagements.

• Ability to balance delivery speed, software quality, maintainability, and business priorities.

The following experience would be an advantage:

• Experience integrating AI-powered features and LLM APIs into production applications.

• Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools.

• Experience with Model Context Protocol (MCP) and tool-integrated AI systems.

• Knowledge of retrieval-augmented generation (RAG) architectures and vector databases.

• Experience designing event-driven systems or microservices architectures.

• Previous experience in consulting or professional services environments.

Benefits:

• Remote work arrangement.

• Full-time employment.

• Opportunity to work on diverse software engineering projects across multiple industries.

• Exposure to modern AI-assisted development tools, agentic systems, and emerging AI technologies.

• Opportunities to build scalable applications and solve complex technical challenges for clients.

• Collaborative work with product managers, designers, engineers, and client stakeholders.

• Opportunity to influence engineering practices, technical architecture, and AI adoption strategies.

• Professional growth through hands-on consulting, continuous learning, and work across varied technology stacks.