Senior AI Engineer

This is a fully remote position, open to applicants in India, +1 more country.

📋 Description

• Comprehend the technical architecture and various machine learning subsystems.

• Take the lead in an Agile Scrum environment, emphasizing sustainable, high-performance, scalable, and maintainable enterprise solutions.

• Assist in prioritizing technical challenges with engineering managers.

• Provide guidance on technical decisions regarding machine learning architecture.

• Ensure the successful deployment of systems to production.

• Support operations and help teams in troubleshooting production issues.

• Design, test, and maintain architectures for data storage, databases, processing systems, and microservices.

• Integrate subsystems and components to deliver comprehensive solutions.

• Connect machine learning services with various subsystems.

⛳️ Requirements

• Over 5 years of experience as a senior or lead developer specializing in cloud-based code and system architecture.

• In-depth, practical experience in Python programming.

• Strong background in building and deploying large language models (LLM) and Generative AI applications at scale.

• Extensive hands-on experience with third-party LLM provider APIs such as OpenAI, Google, Anthropic, and Amazon Bedrock, as well as open-source LLMs like Llama and Mistral.

• Experience in developing conversational systems utilizing LLMs and agentic frameworks.

• Practical experience with microservices architecture and orchestration, including the development of backend APIs using FastAPI.

• Familiarity with vector databases, graph databases, and hybrid (keyword and semantic) search methodologies.

• Practical experience working with SQL and NoSQL databases/warehouses.

• A Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

• Knowledge of lightweight UI design utilizing Python or JavaScript frameworks (such as Streamlit and ReactJS) and integration with machine learning model backends.

• Hands-on experience with container orchestration services on AWS, including ECS and EKS.

• Experience with both batch and event-driven application architectures as well as ML inference methods.

🏝️ Benefits

• Employees have the option to work remotely.