
Artificial Intelligence Engineer
4 weeks ago
Job Title:
Artificial Intelligence Engineer (AI Engineer)
Location:
Mohali
Experience Required:
2–4 Years
Job Overview
We are looking for a technically proficient
Artificial Intelligence Engineer
to join our AI Team. This role involves end-to-end development of scalable solutions using
Generative AI, Machine Learning(ML), Large Language Model (LLMs), Natural Language Processing (NLP)
, and vector search technologies. You will be responsible for implementing and optimizing AI/ML models for real-world business use cases, ensuring high performance and seamless production integration.
Key Responsibilities
- Develop Generative AI applications such as
Retrieval-Augmented Generation (RAG) systems, AI agents
, and LLM fine-tuning pipelines. - Design and implement Machine Learning models for
regression, classification, and time series forecasting tasks. - Work with LLMs (e.g., GPT, BERT, LLaMA) and integrate them using frameworks like LangChain, Hugging Face, and OpenAI APIs.
- Leverage
vector databases (e.g., FAISS, Pinecone, Chroma)
for semantic search and similarity-based retrieval. - Build and maintain automated AI/ML pipelines for data preprocessing, training, evaluation, and deployment.
- Implement
prompt engineering and fine-tuning strategies
for task-specific LLM performance improvements. - Knowledge of SQL and NoSQL databases
(e.g., PostgreSQL, MongoDB) to manage structured and unstructured data. - Understanding of
Statistics
, including hypothesis testing, distributions, and statistical modelling techniques essential for building robust ML models.
Required Skills & Experience
- Strong knowledge of
supervised and unsupervised learning algorithms
with real-world application experience. - Strong Proficiency in Python and machine learning libraries such as
scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy. - Hands-on experience with LLMs, embedding models, and retrieval-based architectures.
- Proficient in vector search technologies and building GenAI-powered applications.
- Experience deploying models on AWS or similar cloud platforms.
- Familiarity with version control
(Git), DevOps principles, and agile workflows.
Preferred Skills
- Collaborate with cross-functional teams to translate business problems into scalable AI solutions.
- Strong understanding of SDLC, containerization, and model monitoring in production.
- Exposure to FinTech or financial services use cases involving real-time or compliance-heavy data.
- Ability to work with Product managers, Stakeholders and Data engineering teams to frame AI-first solutions for complex business problems.
Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
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