Artificial Intelligence Engineer / Lead (Gurugram)

Artificial Intelligence Engineer / Lead (Gurugram)

06 Aug
|
Amantya Technologies
|
Gurugram

06 Aug

Amantya Technologies

Gurugram

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 (Valuable 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.

📌 Artificial Intelligence Engineer / Lead (Gurugram)
🏢 Amantya Technologies
📍 Gurugram

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