Job Title: AI Engineer
Experience:
4+ Years
Location:
Gurgaon (On-site – 5 Days a Week)
Employment Type:
Full time
About the Role:
We are looking for a highly experienced and driven
AI Engineer
with a strong background in
Generative AI, Large Language Models (LLMs)
, and
machine learning systems
. This is a critical role where you will help design, build, and optimize advanced AI/ML solutions that power intelligent products and platforms.
As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to the architecture of GenAI systems, and bring research to production in a fast-paced and collaborative environment.
Key Responsibilities:
Design and implement scalable AI/ML models, with a focus on
LLMs
and
Generative AI
use cases.
Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and modern ML frameworks.
Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches.
Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications.
Develop APIs and end-to-end ML pipelines for training, testing, and deployment.




Stay current with emerging trends in artificial intelligence and apply best practices in production environments.
Required Skills:
9+ years
of experience in
Artificial Intelligence
,
Machine Learning
, and
Python programming
.
Hands-on expertise in
Generative AI
and
Large Language Models (LLMs)
.
Strong knowledge of frameworks such as
PyTorch
,
TensorFlow
, and
Hugging Face Transformers
.
Experience with prompt engineering, fine-tuning, and inference optimization of LLMs.
Solid understanding of NLP, deep learning architectures, and model performance evaluation.
Experience working with
vector databases
(FAISS, Pinecone) and
retrieval-augmented generation (RAG)
architectures.
Proven ability to translate complex research into scalable applications.
Good to Have:
Exposure to
LangChain
,
OpenAI APIs
,
Anthropic Claude
, or other commercial LLM ecosystems.
Familiarity with
cloud platforms
(AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD).
Prior experience mentoring junior engineers or leading AI project teams.
Contributions to open-source AI projects or published research in the AI/ML domain.

📌 Statusneo- Python+Ai Engineer (Haryana)
🏢 NextHire
📍 Haryana