Description

You will design and develop AI-powered applications, integrating ML models, LLMs, and data-driven services into web, mobile, and enterprise platforms. You own the end-to-end delivery of production-grade APIs and microservices that serve AI predictions and insights.

This role is on-site.

Responsibilities

• Build and maintain production-grade APIs and microservices to serve AI predictions and insights.
• Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications using prompt engineering and model orchestration.
• Implement real-time and batch AI inference pipelines with robust observability, monitoring, and A/B testing strategies.
• Collaborate with data scientists and ML engineers to operationalize models, ensuring performance, scalability, and security.
• Troubleshoot application and inference issues in production, handling model versioning, rollback strategies, and compliance with data privacy standards.

Required Skills

• 6+ years of experience in application development or software engineering.
• Strong proficiency in Python and/or JavaScript/TypeScript.
• Experience with backend frameworks such as FastAPI, Flask, Django, or Node.js.
• Hands-on experience integrating ML models and AI services, including Generative AI (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
• Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
• Strong SQL skills and experience with relational and NoSQL databases.
• Experience deploying AI applications using Docker and Kubernetes on cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines, caching layers, and messaging systems like Kafka.

Preferred Skills

• Experience with frontend frameworks (React, Angular, Vue).
• Familiarity with embeddings and vector search technologies.

Key Skills

Education

Bachelor's degree