Description

Key Responsibilities

• Design, develop, and maintain scalable AI/ML applications, with a strong focus on Python-based systems
• Architect, build, and deploy production ML systems including model serving, evaluation, monitoring, and data pipelines
• Develop and implement solutions using Large Language Models (LLMs), including prompt engineering, fine-tuning, and RAG-based applications
• Integrate LLM APIs and build intelligent applications using vector databases, tool-based agents, and function calling
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Ensure performance, scalability, and reliability of deployed AI systems
• Continuously evaluate and adopt emerging AI/ML technologies and best practices

Required Skills & Qualifications

• 5+ years of software development experience in one or more languages: Python (preferred), C/C++, Go, or Java
• 3+ years of experience designing, building, and deploying production ML systems
• Hands-on experience with LLMs including API integration, prompt engineering, fine-tuning, and RAG architectures
• Familiarity with leading LLMs such as OpenAI, Gemini, Llama, Qwen, and Claude
• Strong understanding of machine learning concepts, applied statistics, algorithms, and data structures
• Experience building data pipelines and handling large-scale datasets
• Strong problem-solving skills, ownership mindset, and ability to work in a fast-paced environment
• Excellent communication skills with the ability to explain complex concepts clearly

Preferred Qualifications

• Experience working with AWS cloud services (ECS/EKS, Lambda, S3, DynamoDB, Redshift, SageMaker)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with workflow orchestration (Step Functions)
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation

Key Skills

Education

Bachelor's degree