Senior Full Stack Engineer

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We are seeking a highly skilled Senior Full Stack Engineer with strong AI experience to join our team on a project-based contract. This role is ideal for an engineer who thrives in fast-paced environments, enjoys solving complex problems, and can independently deliver high-quality solutions from concept to deployment.


Responsibilities

  • Design, develop, and deploy full-stack applications integrating modern AI/ML models.
  • Build scalable backend services and APIs that support AI-driven features and data pipelines.
  • Develop responsive, user-friendly frontend interfaces using modern frameworks.
  • Implement AI model integration (LLMs, embeddings, vector search, or custom ML models) into existing systems.
  • Collaborate closely with product, design, and data teams to define technical requirements and deliver solutions.
  • Optimize application performance, security, and reliability across the stack.
  • Conduct code reviews, ensure best engineering practices, and help guide architectural decisions.
  • Troubleshoot issues quickly and deliver project milestones on time.


Qualifications

  • 6+ years of professional experience as a Full Stack Engineer or similar role.
  • Strong proficiency in JavaScript/TypeScript, Node.js, and either React, Next.js, or similar modern frontend frameworks.
  • Solid experience with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs).
  • Experience working with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus, etc.) is a plus.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and DevOps practices.
  • Ability to work independently, manage deadlines, and deliver high-quality project outputs.
  • Excellent communication and documentation skills.


Preferred Experience

  • Building AI-powered apps (chatbots, automation tools, ML-driven features).
  • Experience with large-scale production deployments.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Prior work as a contractor or freelance engineer.


Engagement Details

  • Payment Type: Project-based (milestone or deliverable-based compensation).
  • Contract Type: Independent contractor / freelance.
  • Location: Remote or hybrid depending on project.
  • Start Date: Immediate availability preferred.


How to Apply

Please send your resume, portfolio/GitHub, and any relevant AI project examples to careers@lycerix.com



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