Artificial Intelligence Engineer

About the Role

We are seeking a highly skilled AI Engineer to join our team. The ideal candidate will have strong proficiency in Python, experience building and deploying applications using FastAPI, expertise in LangChain, and hands-on experience with browser automation tools. You will work on designing, developing, and deploying intelligent systems that leverage large language models (LLMs), automation, and scalable APIs to solve real-world problems.

Key Responsibilities

•⁠ ⁠Design, develop, and maintain AI-driven applications using Python and LangChain.

•⁠ ⁠Build and deploy robust APIs using FastAPI for integrating AI models with other systems.

•⁠ ⁠Implement browser automation workflows (e.g., web scraping, automated data collection, task automation).

•⁠ ⁠Fine-tune and optimize LLMs for specific tasks and domains.

•⁠ ⁠Collaborate with product, research, and engineering teams to integrate AI capabilities into existing applications.

•⁠ ⁠Ensure code quality, scalability, and performance through best practices and testing.

•⁠ ⁠Monitor, troubleshoot, and improve deployed AI systems in production.

Required Skills & Qualifications

•⁠ ⁠Strong proficiency in Python (as primary development language).

•⁠ ⁠Hands-on experience with LangChain and building LLM-powered applications.

•⁠ ⁠Practical knowledge of browser automation frameworks (e.g., Playwright, Selenium, Puppeteer, or similar).

•⁠ ⁠Experience with FastAPI for building and deploying production-ready APIs.

•⁠ ⁠Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).

•⁠ ⁠Good understanding of data structures, algorithms, and system design.

•⁠ ⁠Strong problem-solving skills, attention to detail, and ability to work in collaborative environments.

Preferred Qualifications (Nice to Have)

•⁠ ⁠Experience with vector databases.

•⁠ ⁠Knowledge of prompt engineering and retrieval-augmented generation (RAG).

•⁠ ⁠Experience in deploying AI solutions at scale with orchestration frameworks.

•⁠ ⁠Familiarity with CI/CD pipelines and DevOps practices.