AI Technical Developer

Job Description

• We are seeking a highly skilled AI Technical Developer to lead the design, development, and deployment of cutting‑edge AI‑driven product solutions.
• This role involves collaborating closely with product development, architecture, and management teams to propel the advancement of AI technologies working with business teams and end customers.
• Design, develop, and maintain scalable Python‑based backend services and microservices for enterprise applications.
• Build and integrate AI/ML and LLM‑driven solutions, including model inference services, data pipelines, and API exposure.
• Develop and maintain modern UI applications using Angular, ensuring seamless integration with Python backends.
• Deploy, manage, and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms.
• Implement end‑to‑end Dev Ops practices including CI/CD, infrastructure automation, monitoring, and observability.
• Apply security‑by‑design principles across application, API, container, and infrastructure layers.
• Collaborate cross‑functionally with product, architecture, QA, platform, and security teams to deliver high‑quality solutions.
• Ensure code quality through unit testing, integration testing, code reviews, and documentation.
• Drive performance optimization, reliability, and scalability across the full technology stack.

• Exposure in Large Language Models (LLMs), Machine Learning, Deep Learning, Generative AI, Supervised Learning, Data Science, and Data Engineering.
• Python full stack development with strong hands‑on experience using Python (3.x) for enterprise application development.
• Expertise with FastAPI, Flask, or Django frameworks.
• Proficiency in building RESTful and event‑driven APIs.
• Strong understanding of asynchronous programming, threading, and performance optimization.
• Experience with SQL and No
  
  SQL databases including Postgre
  
  SQL, MySQL, Mongo
  
  DB, and Redis.
• Experience developing and integrating AI/ML solutions into production systems.
• Hands‑on exposure to machine learning frameworks such as PyTorch, Tensor Flow, or Scikit‑learn.
• Experience with LLMs, prompt engineering, and AI service orchestration is a strong plus.
• Understanding of model lifecycle management, monitoring, and inference performance tuning.

• Strong experience developing applications with Angular.
• Proficiency in Type Script, RxJS, component‑based architecture, and state management.
• Ability to integrate UI with secure backend APIs.
• Familiarity with responsive UI design, accessibility standards, and performance optimization.

• Hands‑on experience with Docker and containerization best practices.
• Strong expertise in Kubernetes on Bare Metal (KOB), including cluster setup, upgrades, and troubleshooting.
• Experience with networking (CNI), storage (CSI), and ingress configurations.
• Knowledge of high availability and fault tolerance.

• Artificial Intelligence.
• Python full stack.
• Angular.
• Dev Ops.
• Data Science.