Senior AI Engineer

About the role

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence,
• or a related field (or equivalent experience).
• ● Minimum 10+ years of experience in full-stack development, with proficiency in frontend
• (e.g., React) and backend (e.g., PHP and Laravel, Node.js, Python, Django, Flask,
• FAST API) technologies.
• ● Working knowledge of leading AI coding platforms and tools, including Claude, OpenAI
• Cursor, and similar frameworks for building and integrating AI-driven applications
• ● Strong expertise in working with Large Language Models (LLMs) such as GPT, BERT, or
• similar, including fine-tuning, prompting, and integration into applications.
• ● Hands-on experience with LangChain for chaining LLM calls and LangGraph for building
• graph-based AI applications.
• ● Proven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for
• compute, storage, databases, and AI/ML (e.g., SageMaker, Vertex AI).
• ● Demonstrated skills in live coding and rapid prototyping to quickly validate and
• implement ideas.
• ● Solid understanding of software engineering principles, including version control (Git),
• CI/CD pipelines, and agile methodologies.
• ● Excellent problem-solving skills and the ability to work independently or in a team to
• deliver high-quality results under tight deadlines.
• Preferred Skills
• ● Experience with additional AI frameworks like Hugging Face Transformers, TensorFlow,
• or PyTorch.
• ● Knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI
• applications at scale.
• ● Familiarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data
• pipelines.
• ● Background in DevOps practices to automate infrastructure and deployment processes.
• ● Strong communication skills to explain technical concepts to non-technical stakeholders.

Responsibilities

• Design, develop, and deploy full-stack applications that integrate AI models, with a focus on LLMs for tasks such as natural language processing, generation, and automation.
• Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.
• Utilize LangChain and LangGraph to build efficient, stateful AI agents and multi-step workflows that apply existing models to solve real-world problems.
• Implement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and managing AI applications, including data pipelines, APIs, and deployment pipelines.
• Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.
• Optimize applications for performance, security, and reliability, ensuring seamless integration of AI components into user-facing systems.
• Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.
• Stay updated on emerging AI tools and best practices to continuously improve development processes and application efficiency.

Skills

• LangChain
• LangGraph
• large language models (LLMs)
• full-stack development
• React
• PHP
• Laravel
• Node.js
• Python
• Django
• Flask
• FAST API
• Claude
• OpenAI
• GPT
• BERT
• cloud platforms (AWS, Azure, GCP)
• SageMaker
• Vertex AI
• Docker
• Kubernetes
• Apache Airflow
• Spark
• Git
• CI/CD
• agile methodologies