AI Engineer

We are currently looking for an AI Engineer to join our client's team and contribute to building, deploying, and maintaining production-ready AI-powered applications and agentic systems.
This role combines full-stack software engineering, AI infrastructure, data engineering, and product-oriented development. The ideal candidate will be comfortable translating business requirements into actionable engineering tasks, leveraging AI coding agents, and delivering scalable AI solutions from development through production deployment.
Responsibilities:
Translate business requirements into actionable product features and well-defined engineering tasks.
Develop and maintain full-stack applications using React, Next.js, Python (FastAPI), Node.js, and modern database technologies.
Build and operate data pipelines using Airflow, dbt, Kafka, or similar tools.
Deploy and optimize AI/ML models in production using vLLM, TensorRT-LLM, SGLang, or Triton.
Manage CI/CD pipelines, Docker, Kubernetes, cloud infrastructure, and GPU-based deployments.
Develop AI agents using frameworks such as Claude Code, Claude Agent SDK, LangGraph, or similar technologies.
Implement agent evaluation, monitoring, and performance optimization.
Collaborate with cross-functional teams to deliver reliable and scalable AI solutions.
Requirements:
Minimum 3 years of professional experience in Software Engineering, AI Engineering, or Machine Learning Engineering.
Strong Python programming skills and solid full-stack development experience.
Hands-on experience with front-end, back-end, and database technologies.
Proven experience building and managing production data pipelines.
Strong knowledge of CI/CD, Docker, Kubernetes, and cloud platforms.
Demonstrated experience deploying and operating AI/ML models in production environments.
Practical experience with GPU infrastructure and AI agent frameworks.
Strong Linux, shell scripting, and networking fundamentals.
Excellent written and verbal English communication skills.
Nice to Have:
Experience with LLM fine-tuning (LoRA, QLoRA, or full fine-tuning).
Experience with distributed inference or model training.
Familiarity with Terraform, MCP servers, and custom AI agent integrations.
Contributions to open-source AI or infrastructure projects.

Skills
Python, JavaScript, React, Node.js, Next.js, FastAPI, Linux

Experience
3+ yrs

Work arrangement
Yes