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.