Tech Lead Software Engineering & AI

We are looking for a hands-on Technical Lead with a strong software engineering background and practical experience in AI-powered applications.

The ideal candidate will lead technical implementation support developers make architectural decisions and contribute directly to development across multiple projects.

We are looking for someone who stays up to date with modern technologies understands AI integration beyond basic API usage and can balance code quality performance scalability and delivery.

• Lead and mentor developers across backend frontend and AI-related projects.
• Design scalable maintainable and secure software architectures.
• Participate in hands-on development code reviews and technical troubleshooting.
• Design and implement AI-powered features using LLMs RAG AI Agents and workflow orchestration.
• Evaluate new technologies and recommend practical improvements.
• Establish coding standards development best practices and technical documentation.
• Collaborate with Product Owners DevOps QA and Security teams.
• Identify technical risks resolve bottlenecks and improve engineering productivity.
• Support integrations legacy system modernization and cloud-based applications.

• 4 years of professional software development experience.
• Previous experience as a Technical Lead or demonstrated technical leadership capabilities.
• Strong backend development experience with or .
• Good understanding of software architecture REST APIs databases and system integrations.
• Practical experience with LLMs OpenAI APIs RAG AI Agents or LangChain/LangGraph.
• Familiarity with modern frontend technologies such as React or .
• Experience with Git code reviews Docker and CI/CD fundamentals.
• Strong problem-solving communication and mentoring skills.
• Ability to work hands-on while guiding a development team.

• Experience with Azure or AWS.
• Experience building production-ready AI applications.
• Knowledge of vector databases embeddings and semantic search.
• Familiarity with AI evaluation guardrails and observability.
• Experience with real-time applications WebSockets or speech-to-text solutions.
• Understanding of microservices event-driven architecture and application security.
• Experience modernizing legacy applications.

• A technical leader who is still passionate about coding.
• Someone who understands modern AI technologies and knows when and how to use them.
• A problem solver who can take ownership of technical challenges.
• Someone who can guide a team without unnecessary complexity or overengineering.
• A continuous learner who actively follows developments in software engineering and AI.