Job Title –AI Engineer/Sr AI Engineer – Generative AI & Conversational Applications
Base Location – Hyderabad/Bengaluru
Duration – Full time
** Immediately to 15 days**
Job Summary
We are seeking an AI Engineer with 4–10+ years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.
The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.
Key Responsibilities:
Generative AI & Chatbot Development
- Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
- Build conversational workflows with context management and memory.
- Implement prompt engineering strategies and response evaluation techniques.
- Integrate AI services into business applications through APIs.
Agentic AI & Workflow Automation
- Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
- Implement tool/function calling and API orchestration.
- Support multi-step task execution and workflow automation.
RAG & Knowledge Retrieval
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
- Implement document ingestion, chunking, retrieval, and response generation pipelines.
- Optimize retrieval accuracy and response quality.
Forecasting & Analytics
- Support development of forecasting models and AI-assisted prediction workflows.
- Integrate forecasting outputs into chatbot responses and dashboards.
- Work with structured and semi-structured datasets.
Front-End & User Experience
- Develop responsive web interfaces using React.js.
- Build conversational chat interfaces with real-time interactions.
- Create dashboards and visualizations for forecasting results.
- Implement conversation history and state management.
Integration & Deployment
- Develop REST APIs and backend services using Python.
- Deploy applications on AWS, Azure, or GCP environments.
- Support CI/CD pipelines and application monitoring.
Required Skills:
Generative AI
- Experience with OpenAI, Anthropic Claude, Gemini, or equivalent LLMs.
- Prompt Engineering and LLM evaluation techniques.
- RAG implementation experience.
- Understanding of AI agents and workflow orchestration.
Programming
- Python (mandatory)
- REST API development
- FastAPI, Flask, or similar frameworks
AI Frameworks
- LangChain
- LangGraph or CrewAI
- Vector databases (Pinecone, ChromaDB, FAISS, OpenSearch, etc.)
Front-End
- React.js
- JavaScript / TypeScript
- Basic UI/UX understanding for chatbot applications
Cloud & DevOps
- AWS, Azure, or GCP
- CI/CD pipelines
- Docker (preferred)
Preferred Qualifications:
- Experience building chatbot or conversational AI applications.
- Exposure to AWS Bedrock or Azure OpenAI.
- Knowledge of forecasting, analytics, or data science concepts.
- Familiarity with AI observability and monitoring tools.
- Experience with conversational UI design.
Experience:
- 4–10+years of software development experience.
- 2+ years of hands-on Generative AI / LLM experience.
- Experience delivering AI-powered applications in production environments.
Education:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
