Agentic AI Engineer

Company Description

Acronotics Limited specializes in modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation and AI solutions for our clients, transforming the way businesses operate. Our mission is to help clients design, develop, implement, and run truly transformative generative AI-based solutions.

Role Description

We are looking for a  skilled AI / ML Engineer  to help design and implement  GenAI-based systems  that interface with real-time enterprise data. You will be responsible for developing, fine-tuning, orchestrating, and integrating  LLM-powered capabilities  such as retrieval-augmented generation (RAG), function / tool calling, and data-grounded Q&A, within the  Azure OpenAI ecosystem .

The ideal candidate brings hands-on experience with  LLM orchestration frameworks , prompt engineering, embedding models, and integrating AI systems into production-grade Azure-based platforms.

Core Responsibilities

Development

• Design and implement  LLM-based pipelines , including :
• Prompt engineering
• Few-shot and zero-shot techniques
• Function / tool calling
• Chain-of-thought and structured output generation
• Work with  Azure OpenAI ,  GPT-4 , and embedding models for various use cases
• Build conversational flows, decision trees, and fallback logic for copilots or assistants

Retrieval-Augmented Generation (RAG)

Machine Learning Models

Build, train, and fine-tune  time series forecasting models  (e.g., XGBoost, Prophet, ARIMA, or LSTM) for financial KPIs where GenAI requires predictive context

Combine  structured model outputs with LLM reasoning  (e.g., forecasts + narrative insights)

Tool / Function Integration

Evaluation & Iteration

Required Skills and Experience

Experience in building chatbots or copilots in enterprise settings

Location