Machintel is looking for an experienced AI/ML Engineer to join our team. You will work on building and deploying web-based enterprise-level applications leveraging multiple Large Language Models (LLMs). The role requires strong expertise in AI technologies, including RAG (Retrieval-Augmented Generation), agents, fine-tuning, and integration with external tools via APIs. If you are passionate about developing scalable, secure AI solutions with advanced features, this is an excellent opportunity to grow.
Skills
Bachelor s or Master s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
1+ years of experience in Python and AWS web application development.
Experience with building and fine-tuning LLMs (e.g., GPT, BERT) for real-world applications.
Familiarity with Retrieval-Augmented Generation (RAG) and the use of AI agents for task automation.
Experience with API development, ensuring security, scalability, and robustness.
Familiarity with Langchain or similar frameworks for managing multiple AI models and workflows.
Experience working with vector databases.
Knowledge of AWS services and solutions (only AWS, not GCP or Azure).
Familiarity with tools like Make.com and Voiceflow.com is a plus.
Experience with site reliability engineering is a plus.
Exposure to international projects or product development for global clients is preferred.
Responsibilities
Design and deploy machine learning models and LLMs in production environments.
Work on fine-tuning LLMs for specific use cases and improve their performance.
Develop and maintain APIs to connect LLMs to external systems with security and scalability.
Implement and manage Retrieval-Augmented Generation (RAG) for AI-driven content retrieval systems.
Build, test, and deploy AI-powered applications with Langchain and agentic frameworks.
Work with AWS cloud infrastructure to ensure seamless deployment, scaling, and monitoring of AI applications.
Integrate and connect AI solutions with external tools and services via secure APIs.
Optimize data storage solutions and connections for scalable AI systems.
Collaborate with the team to ensure AI-driven workflows are effective and optimized.