We are looking for a motivated and skilled Software Engineer to join our growing team. This is an exciting opportunity for someone with a strong technical foundation who enjoys working with diverse technologies, solving complex technical challenges, and contributing to impactful, real-world products. You will collaborate with cross-functional teams to design, develop, and maintain scalable software solutions while continuously learning and adopting new technologies.

We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.