Artificial Intelligence Engineer

7 days ago

Mohali, India FINVASIA Full time

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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