Description

You will design and deploy AI-enabled enterprise workflows using agent-driven architectures.

This role is remote.

Responsibilities

• Build scalable Python-based APIs, data pipelines, and asynchronous AI workflows.
• Develop end-to-end LLM-powered applications with optimized prompts and structured outputs.
• Implement vector search, embedding pipelines, and retrieval systems for contextual AI solutions.
• Deploy secure, scalable AI/ML solutions on AWS cloud infrastructure.
• Implement observability frameworks including logging, tracing, and metrics monitoring.

Required Skills

• 5+ years of experience with Python backend development.
• Expertise in Agent-Based or Agent-Oriented workflow development.
• Strong background in API development and enterprise system integration.
• Hands-on experience with LLM-enabled application development.
• Proficiency in prompt engineering and context management.
• Knowledge of structured output validation and post-processing.
• Experience with retrieval-based systems (vector search, embeddings, indexing).
• Competence in AWS cloud-native development and CI/CD environment management.

Preferred Skills

• Hands-on LLM fine-tuning experience and strong RAG architecture knowledge.
• Experience with AI/ML/LLM libraries in production environments.

Key Skills

Education

Bachelor's degree