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)

• Develop and optimize  RAG pipelines :
• Create embedding pipelines (e.g., using text-embedding-ada-002, Cohere, or Sentence Transformers)
• Chunk and index content from structured and unstructured sources (PDFs, Office files, HTML, etc.)
• Store and retrieve embeddings using  Azure AI Search ,  FAISS , or  Weaviate
• Evaluate grounding accuracy and relevance scoring

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

• Integrate structured data APIs, SQL endpoints, Power BI connectors, and OLAP cube access as  tools/functions  callable by the LLM
• Design input/output schemas for safe and deterministic API usage by the model
• Support plugin-style orchestration (LangChain/Function Calling/Semantic Kernel)

Evaluation & Iteration

• Define custom  evaluation frameworks  using metrics like:
• Hallucination rate
• Grounding precision/recall
• Prompt latency and token efficiency
• Set up experiment tracking using tools like  MLflow ,  Weights & Biases , or  PromptLayer
• Maintain few-shot/test prompt sets and continuously refine

Required Skills and Experience

• 3–6+ years of experience in AI/ML/NLP engineering
• Deep familiarity with  LLM systems : prompt tuning, orchestration, and fine-tuning
• Hands-on experience with:
• Azure OpenAI Service
• LangChain ,  Semantic Kernel , or similar orchestration tools
• Vector databases  (Azure AI Search, FAISS, Pinecone)
• Embedding model APIs (OpenAI, HuggingFace, Cohere, etc.)
• Strong understanding of  time series modeling and ML forecasting techniques  in financial domains (e.g., cost, margin, working capital, price volatility)
• Strong proficiency in  Python , with experience in developing modular, testable code for AI/ML pipelines, API integrations, and backend services
• Experience building and deploying  backend components  (e.g. FastAPI, Flask) to serve AI models or integrate with retrieval pipelines
• Familiarity with best practices for  production-grade AI applications , including logging, monitoring, and containerisation (e.g. Docker)
• Ability to work across the full stack of an AI system – from model development to integration and inference APIs

Experience in building chatbots or copilots in enterprise settings

• Knowledge of  Azure cloud services , esp.  Functions ,  App Services ,  Blob Storage , and  Key Vault
• Familiarity with enterprise systems like  Power BI ,  SAP , or  OLAP cubes

Location

· Bangalore