About the Role
We are seeking an experienced Technical Lead to drive the development and implementation of innovative, AI-powered solutions.
This role combines hands-on full-stack development with technical leadership, requiring expertise in modern web technologies, cloud infrastructure, and AI/ML integration.
You'll lead a talented team while remaining deeply involved in architecture decisions and critical development work.
Key Responsibilities
Technical Leadership
- Lead and mentor a team of full-stack developers, fostering a culture of excellence and innovation.
- Define technical architecture and make strategic decisions on technology stack and design patterns
- Conduct code reviews and ensure adherence to best practices, coding standards, and security protocols
- Drive technical roadmap planning and prioritisation in collaboration with product and business stakeholders
- Establish and maintain development workflows, CI/CD pipelines, and deployment strategies
Full-Stack Development
- Design and develop scalable, high-performance web applications and APIs
- Build robust backend services and micro services architecture
- Create responsive, user-friendly frontend interfaces
- Optimize application performance, scalability, and reliability
- Debug complex issues across the entire technology stack
AI/ML Integration
- Design and implement AI/ML solutions into production applications
- Integrate with LLMs, computer vision, NLP, and other AI services
- Work with ML models for deployment, monitoring, and optimization
- Collaborate with data scientists to productionize machine learning models
- Stay current with emerging AI/ML technologies and evaluate their potential applications
Cloud & Infrastructure
- Architect and manage cloud infrastructure on AWS or Azure
- Implement scalable, secure, and cost-effective cloud solutions
- Design containerized applications using Docker and orchestration tools
- Ensure high availability, disaster recovery, and security best practices
- Monitor system performance and implement improvements
Requirements
Technical Skills
- Backend Development: 5+ years of experience with Node.js or Python
- Frontend Development: Strong proficiency in modern JavaScript frameworks (React, Vue.js, or Angular)
- Cloud Platforms: Hands-on experience with AWS or Azure services (EC2, Lambda, S3, RDS, API Gateway, etc.)
- AI/ML Integration: Proven experience integrating AI/ML solutions (OpenAI, Anthropic, Hugging Face, TensorFlow, PyTorch, or similar)
- Databases: Expertise in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases
- APIs: RESTful API design, GraphQL, and micro services architecture
- DevOps: CI/CD pipelines, Docker, Kubernetes, infrastructure as code (Terraform, CloudFormation)
- Version Control: Git and collaborative development workflows
Leadership & Soft Skills
- 7+ years of software development experience with at least 2 years in a technical leadership role
- Proven track record of leading development teams and delivering complex projects
- Strong problem-solving skills and ability to make sound technical decisions under pressure
- Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
- Experience with Agile/Scrum methodologies
- Passion for mentoring and developing team members
Preferred Qualifications
- Experience with real-time technologies (WebSockets, Socket.io)
- Knowledge of machine learning model deployment and MLOps
- Familiarity with vector databases and RAG (Retrieval-Augmented Generation) systems
- Experience with serverless architecture and event-driven systems
- Understanding of security best practices and compliance requirements (GDPR, HIPAA, SOC 2)
- Contributions to open-source projects
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Technical Environment
You'll be working with modern technologies including:
- Backend: Node.js/Python, Express, FastAPI, NestJS
- Frontend: React, Next.js, TypeScript, Tailwind CSS
- Cloud: AWS/Azure services, Lambda, API Gateway, CloudFront
- AI/ML: OpenAI API, Claude API, LangChain, vector databases
- Databases: PostgreSQL, MongoDB, Redis, Pinecone
- Infrastructure: Docker, Kubernetes, Terraform, GitHub Actions
- Monitoring: CloudWatch, DataDog, Sentry
Benefits
Work on cutting-edge AI/ML and full-stack projects
Lead and mentor a talented engineering team
Flexible and collaborative work environment