Artificial Intelligence Engineer

Pixeldust Technologies Pvt Ltd.; Mumbai; On-site; INR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary and benefits

Cutting-edge security challenges

Growth-oriented environment

Job summary

Pixeldust Technologies Pvt Ltd. seeks an experienced AI Engineer with a strong NLP/ML background to design, build and deploy scalable AI solutions. You will work with LLM frameworks, vector databases and cloud platforms to deliver production-grade pipelines.

The role emphasizes hands-on model development, experimentation, and collaboration with cross-functional teams to push the boundaries of NLP research and practical applications.

Qualifications

• Proven experience as an AI Engineer with 3-4 years focused on NLP and ML.
• Hands-on experience with LLM frameworks and libraries such as Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
• Strong programming in Python with ML/AI libraries including PyTorch, TensorFlow and Scikit-learn.
• Experience fine-tuning LLM embeddings and working with vector databases like FAISS, Pinecone, Weaviate, Milvus and Vertex AI Matching Engine.
• Proficient in data analysis, statistics and experiment design.
• Knowledge of cloud ML platforms, preferably GCP.
• Excellent problem solving, analytical and communication skills.
• Strong debugging, troubleshooting and problem-solving abilities.

Responsibilities

• Design, develop and deploy NLP and ML models for real-world applications.
• Work with LLM frameworks and libraries such as Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
• Fine-tune LLM embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
• Perform data preprocessing, statistical analysis and experiment design to validate models.
• Collaborate with cross-functional teams (engineering, product, business) to deliver AI-driven solutions.
• Leverage cloud ML platforms (GCP preferred) to build and scale production-grade ML pipelines.
• Continuously research and adopt state-of-the-art NLP/ML/LLM techniques.

Skills

NLP & ML

LLM frameworks

Python for ML

Vector databases

GCP / cloud ML

Data analysis & statistics

Problem solving

Communication skills

Debugging / troubleshooting

Tools

Hugging Face Transformers

LangChain

LamaIndex

OpenAI API

Vertex AI

FAISS

Pinecone

Weaviate

Milvus

PyTorch

TensorFlow

Scikit-learn

Job description

We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands‑on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.

Key Responsibilities:

• Design, develop and deploy NLP and ML models for real world applications.
• Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
• Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
• Perform data preprocessing statistical analysis and experiment design to validate models.
• Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
• Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
• Continuously research and adopt state of the art techniques in NLP ML and LLMs.

Required Skills and Qualification:

• Proven experience as a AI Engineer having 3-4 years of experience with a strong focus on NLP and ML.
• Hands‑on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
• Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
• Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
• Proficiency in data analysis statistics and experiment design.
• Strong understanding of cloud ML platforms - GCP preferred.
• Excellent problem solving analytical and communication skills.
• Strong debugging, troubleshooting, and problem‑solving skills.

Good to Have Skills:

• Exposure to MLOps practices - CI CD for ML monitoring deployment.
• Experience with other cloud platforms - AWS and Azure.
• Knowledge of reinforcement learning and generative AI applications.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting‑edge security challenges.
• A collaborative and growth‑oriented work environment with opportunities for career development.