AI Engineer (Generative AI)-Contractor

About the Role

We are seeking a passionate and hands-on AI Engineer to join our growing Data & AI team. In this role, you will design, develop, and deploy cutting-edge LLM-powered chatbot and search solutions for enterprise use cases. You will work on projects involving Google Cloud Dialogflow CX, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, and vector databases, delivering high-impact applications that enable intelligent conversational interfaces and smart search experiences.

This is a highly technical and client-facing role, ideal for someone who enjoys solving real-world problems using state-of-the-art AI tools and frameworks.

Key Responsibilities

• Design, develop, and optimize AI chatbots using LLMs (e.g., Gemini, LLaMA, Claude, etc.)


• Build semantic and enterprise search systems with RAG pipelines


• Integrate LLM orchestration frameworks such as LangChain and LangGraph


• Work with vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus) for efficient retrieval


• Develop and deploy APIs using FastAPI or other Python-based backend frameworks


• Implement prompt engineering, tuning, and evaluation techniques for various use cases


• Fine-tune foundation models using domain-specific datasets when required


• Work with GCP services including Dialogflow CX, Vertex AI, BigQuery, Cloud Functions


• Contribute to best practices, documentation, code repositories, and DevOps pipelines

Essential Skills & Experience

• 3+ years of experience as an AI/ML Engineer or Software Engineer in AI-focused projects


• Strong knowledge of LLMs, transformers, and conversational AI


• Experience with LangChain, LangGraph, or similar LLM orchestration tools


• Hands-on experience with FastAPI or equivalent Python frameworks for backend services


• Familiarity with Prompt Engineering, RAG, and LLM evaluation techniques


• Deep understanding of vector search, embeddings, and similarity-based retrieval


• Working knowledge of Dialogflow CX or equivalent chatbot frameworks


• Strong software engineering foundation – Git, CI/CD, testing, REST APIs

Bonus Skills (Nice to Have)

• Data Engineering experience: ETL, Airflow, dbt, BigQuery, or Snowflake


• Experience building web crawlers, custom scrapers, or integrating external knowledge sources


• Experience setting up data lakes/warehouses and pipelines


• Familiarity with cloud infrastructure: GCP, AWS, or Azure


• Familiarity with fine-tuning open-source LLMs (e.g., LLaMA, Mistral, etc.)


• Experience in evaluating LLM safety, reliability, and cost-performance tradeoffs


• Exposure to frontend frameworks (React, Next.js) for chatbot UI integration