AI Developer

AI & GenAI Engineering

• Architect, develop, and deploy AI/ML and Generative AI solutions across personalization, forecasting, automation, and intelligent assistants.
• Build and optimize LLM based solutions (prompt engineering, RAG, orchestration, guardrails).
• Design scalable end to end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
• Lead model performance optimization, bias detection, drift monitoring, and lifecycle management in production.

Enterprise & Cloud Integration

• Integrate AI solutions with cloud native platforms, APIs, data lakes, and enterprise systems.
• Partner with architecture teams to ensure alignment with enterprise AI, security, and data standards.
• Apply MLOps best practices for CI/CD, observability, and reliability.

Required Qualifications

• 8 12+ years of professional software engineering experience with 5+ years in AI/ML.
• Expert level Python skills; strong experience building production AI systems.
• Hands on experience with Generative AI / LLMs (RAG, prompt design, orchestration frameworks).
• Strong experience with cloud platforms (GCP / AWS preferred)
• Proven experience deploying AI models into enterprise production environments.
• Deep understanding of ML algorithms, model evaluation, and system trade offs.
• Experience working in regulated, security conscious environments.