Description

You will design, build, and deploy production-grade AI and ML systems, focusing on scalable Python applications and LLM-based solutions.

This role is on-site.

Responsibilities

• Architect and maintain production ML systems, including model serving, evaluation, monitoring, and data pipelines.
• Develop intelligent applications using Large Language Models (LLMs), implementing prompt engineering, fine-tuning, and RAG architectures.
• Integrate LLM APIs and build agents using vector databases, tool-based logic, and function calling.
• Collaborate with cross-functional teams to translate business requirements into reliable, scalable AI solutions.

Required Skills

• 5+ years of software development experience in Python (preferred), C/C++, Go, or Java.
• 3+ years of experience designing, building, and deploying production ML systems.
• Hands-on expertise with LLMs, including API integration, prompt engineering, and RAG.
• Strong understanding of machine learning concepts, applied statistics, algorithms, and data structures.
• Experience building data pipelines and handling large-scale datasets.

Preferred Skills

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

Key Skills

Education

Bachelor's degree