Description

Key Responsibilities:
• Design and deploy AI-enabled enterprise workflows using agent-driven architectures
• 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
• Integrate AI systems with enterprise tools and collaborate with React/front-end teams
• Implement observability frameworks including logging, tracing, and metrics monitoring
• Collaborate with business stakeholders to transform use cases into scalable production solutions

Must-Have Skills:
✅ Python Backend Development
✅ Agent-Based / Agent-Oriented Workflow Development
✅ API Development & Enterprise System Integration
✅ LLM-Enabled Application Development
✅ Prompt Engineering & Context Management
✅ Structured Output Validation & Post-Processing
✅ Retrieval-Based Systems (Vector Search, Embeddings, Indexing)
✅ AWS Cloud-Native Development
✅ CI/CD & Environment Management
✅ Observability (Logging, Metrics, Tracing)
⭐ Highly Desired:
• Hands-on LLM Fine-Tuning Experience
• Strong RAG Architecture Experience
• AI/ML/LLM Solution Design & Implementation
• Experience with AI/ML/LLM libraries in production environments
• Knowledge of Marketing Intelligence / MarTech (Nice-to-Have)
 

Key Skills

Education

Bachelor's degree