AI Engineer

Biz4Group LLC; Jaipur; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Biz4Group LLC is seeking a highly skilled AI Engineer based in Jaipur, India, who specializes in prompt engineering and software development. The role involves designing and integrating AI-driven solutions, collaborating with various teams, and developing applications using tools like Python, TensorFlow, and OpenAI APIs. Ideal candidates have a strong understanding of LLMs and experience in multi-modal AI applications. This position presents an opportunity to work with cutting-edge technology in the AI sector.

Qualifications

• Expertise in crafting, optimizing, and testing AI prompts for LLMs.
• Understanding of transformers, embeddings, and NLP techniques.
• Hands-on experience with vector databases such as Pinecone and ChromaDB.

Responsibilities

• Design, test, and optimize high-quality prompts for LLMs.
• Implement chain-of-thought prompting and few-shot learning.
• Develop AI-powered chatbots and virtual assistants.

Skills

Prompt engineering

Python programming

NLP techniques

AI model fine-tuning

Multi-modal AI applications

Tools

OpenAI APIs

LangChain

TensorFlow

Hugging Face

FastAPI

Job description

We are seeking a highly skilled AI Engineer with expertise in prompt engineering and software development to join our AI-focused team. The ideal candidate should have a deep understanding of LLMs (Large Language Models), NLP (Natural Language Processing), and AI-driven automation, combined with strong programming skills in Python and related technologies. You will work on designing, optimizing, and integrating AI-driven solutions to enhance various business applications.

Key Responsibilities

• Design, test, and optimize high-quality prompts for LLMs to achieve accurate and efficient responses.
• Fine-tune AI models and customize them for various enterprise applications.
• Implement chain-of-thought prompting, few-shot learning, retrieval-augmented generation (RAG), and other techniques to improve AI response quality.
• Work with OpenAI, Anthropic, Google Gemini, and open-source LLMs (Llama, Mistral, Falcon, etc.) to build AI-driven solutions.
• Integrate AI models into web and mobile applications using APIs, vector databases, and cloud services.
• Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.
• Hands-on experience leveraging AI-powered developer tools such as Windsurf, GitHub Copilot, ChatGPT, or equivalent AI-assisted coding platforms to accelerate development workflows.
• Collaborate with product managers and developers to generate boilerplate code, unit tests, and code review scripts using AI tools.
• Ensure quality and maintainability by integrating AI in design reviews, architecture suggestions, and iterative feedback loops.
• Explore and prototype new developer productivity tools that integrate with LLMs or internal knowledge bases.
• Write clean, scalable, and efficient Python code for AI applications.
• Work with frameworks like LangChain, LlamaIndex, FastAPI, Flask, PyTorch, and TensorFlow to build and deploy AI models.
• Design backend services and APIs to integrate AI solutions into enterprise systems.
• Preprocess and analyse unstructured data (text, images, voice) for AI training and inference.
• Implement embedding models, vector search, and knowledge graphs for enhanced AI retrieval and reasoning.
• Work closely with cross-functional teams including data scientists, ML engineers, and software developers to deliver AI-driven applications.
• Stay updated with the latest AI advancements and contribute to research & development initiatives.

Required Skills & Qualifications

• Expertise in crafting, optimizing, and testing AI prompts for LLMs.
• Understanding of transformers, embeddings, NLP techniques, and AI model fine-tuning.
• Hands‑on experience with OpenAI APIs, Hugging Face, LangChain, LlamaIndex, Vector DBs (Pinecone, Weaviate, ChromaDB, etc.).
• Familiarity with AWS, Azure, GCP, FastAPI, Flask, RESTful APIs.
• Working knowledge of SQL, NoSQL, and vector databases.
• Experience with Git, Docker, CI/CD, Kubernetes (optional).
• Ability to debug, optimize, and enhance AI models and applications.
• Experience with fine‑tuning open‑source Models(LLMs and VLMs) and working with custom AI model training.
• Background in AI‑powered automation, chatbots, or intelligent search systems.
• Hands‑on experience in multi‑modal AI (text, image, video) applications.
• Contributions to AI research, open‑source projects, or publications in the field.