Senior AI Developer

About the Role We are looking for a hands-on

Senior AI/ML & Generative AI Developer to design, develop, and deploy production-grade AI solutions across

renewable energy forecasting, predictive analytics, Generative AI, and enterprise automation . The ideal candidate should have strong experience in

Machine Learning, Deep Learning, Time Series Forecasting, LLMs, RAG, and production AI deployment . Key Responsibilities

• Develop, test, deploy, and maintain AI/ML and Generative AI solutions.
• Build and optimise forecasting models for

demand, wind, solar, renewable generation, and price forecasting .

• Perform data analysis, feature engineering, data cleansing, model evaluation, and error analysis.
• Develop GenAI and

LLM-based applications , including RAG solutions.

• Build advanced retrieval systems using

vector databases, reranking, and semantic search .

• Develop

Agentic AI and Multi-Agent workflows for automation and enterprise use cases.

• Deploy AI models and applications using

FastAPI/Flask, Docker, and AWS/Azure .

• Monitor model performance, accuracy, latency, and retraining cycles.
• Develop automation scripts and AI/ML workflows using

Python and R .

• Collaborate with cross-functional teams and contribute to technical design, code reviews, and engineering standards.
• Mentor junior engineers and provide technical guidance. Must-Have Skills
• Python and R
• Machine Learning and Deep Learning
• Statistics and Predictive Analytics
• Time Series Forecasting
• Generative AI and Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• LangChain and/or LangGraph
• Vector Databases
• Agentic AI / Multi-Agent Systems
• FastAPI and/or Flask
• Docker / Containerisation
• AWS and/or Azure
• CI/CD and Production Model Deployment
• Model Monitoring and Model Retraining Preferred Skills
• Renewable Energy / Utilities domain experience
• Demand, Wind, or Solar Forecasting
• Document Intelligence / Enterprise Automation
• OCR / Computer Vision / Document Extraction
• MLOps
• Power BI or Data Visualisation
• Experience mentoring or leading technical teams Candidate Requirements
• 4–6 years of experience in AI, machine learning, data science, or related fields.
• Proven experience developing and deploying AI/ML models in production.
• Hands-on experience with GenAI, LLMs, and RAG applications.
• Strong programming and problem-solving skills.
• Experience working with scalable AI systems and cloud environments.

Interested candidates can apply directly through LinkedIn Recruiter.