Artificial Intelligence Engineer / Lead

Amantya Technologies; Gurugram District; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Amantya Technologies seeks a talented AI Developer to design, develop, and deploy AI-powered applications. You will work with LLMs, RAG, and vector databases to build scalable AI solutions for real-world business problems.

The role requires hands-on experience with AI frameworks, APIs, and cloud platforms, with emphasis on performance, security, and cost optimization. Collaborative cross-functional teamwork is key.

Qualifications

• Proficient in Python with hands-on ML/AI experience.
• Experience with LLMs, GenAI, and AI deployment.
• Familiarity with vector databases and RAG architectures.
• Experience building production-grade AI applications.
• Knowledge of OpenAI APIs and major cloud AI services.

Responsibilities

• Design, develop, and deploy AI/ML applications and intelligent automation solutions.
• Build applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, or open-source models.
• Develop Retrieval-Augmented Generation (RAG) based applications using vector databases.
• Create AI agents and workflow automation using modern AI frameworks.
• Integrate AI services with existing enterprise applications through APIs.
• Develop RESTful APIs and backend services for AI applications.
• Fine-tune, optimize, and evaluate machine learning and LLM models.
• Work with structured and unstructured datasets for model training and inference.
• Collaborate with product managers, business analysts, and software engineers to understand business requirements.
• Optimize AI solutions for performance, scalability, security, and cost.
• Implement monitoring, logging, and continuous improvement for AI applications.
• Stay updated with the latest advancements in Artificial Intelligence, Generative AI, and Machine Learning.

Skills

Python

SQL

JavaScript/TypeScript

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face Transformers

PyTorch

TensorFlow

Scikit‑learn

Job description

Job Summary

We are seeking a talented and passionate AI Developer with 25 years of experience to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate should have strong programming skills, hands‑on experience with Large Language Models (LLMs), machine learning frameworks, and modern AI technologies. The role involves collaborating with cross‑functional teams to build scalable AI solutions that solve real‑world business problems.

Key Responsibilities

• Design, develop, and deploy AI/ML applications and intelligent automation solutions.
• Build applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, or open‑source models.
• Develop Retrieval-Augmented Generation (RAG) based applications using vector databases.
• Create AI agents and workflow automation using modern AI frameworks.
• Integrate AI services with existing enterprise applications through APIs.
• Develop RESTful APIs and backend services for AI applications.
• Fine‑tune, optimize, and evaluate machine learning and LLM models.
• Work with structured and unstructured datasets for model training and inference.
• Collaborate with product managers, business analysts, and software engineers to understand business requirements.
• Optimize AI solutions for performance, scalability, security, and cost.
• Implement monitoring, logging, and continuous improvement for AI applications.
• Stay updated with the latest advancements in Artificial Intelligence, Generative AI, and Machine Learning.

Required Skills

Programming

• Python (Mandatory)
• SQL
• JavaScript or TypeScript (Preferred)

AI & Machine Learning

• Machine Learning fundamentals
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Embeddings
• Vector Search
• Retrieval-Augmented Generation (RAG)

Frameworks & Libraries

• LangChain
• LangGraph (Preferred)
• LlamaIndex
• Hugging Face Transformers
• PyTorch or TensorFlow
• Scikit‑learn

APIs & Backend

• FastAPI
• Flask
• REST APIs
• API Integration

Databases

• PostgreSQL
• MongoDB
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus)

Cloud Platforms

Experience with one or more:

• AWS
• Azure
• Google Cloud Platform (GCP)

DevOps & Tools

• Git/GitHub
• Docker
• Kubernetes (Preferred)
• CI/CD pipelines (Good to have)

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• Experience building production‑grade AI applications.
• Knowledge of AI deployment, MLOps, and model lifecycle management.
• Familiarity with OpenAI APIs, Azure OpenAI, Anthropic Claude, Gemini, or open‑source LLMs.
• Understanding of AI security, responsible AI, and data privacy best practices.

Required Experience

• 2-5 years of software development experience.
• At least 2-3 years of hands‑on experience in AI/ML or Generative AI projects.
• Experience integrating AI solutions into enterprise applications.
• Experience working in Agile/Scrum environments.