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Keywords Studios

AI Engineer – Entry-Level

Keywords Studios

Entry-Level AI Engineer collaborating with experienced teams to develop AI-powered solutions for Helpshift's customer service platform. Focus on Generative AI, NLP, and machine learning applications.

Posted 6/15/2026full-timePune • 🇮🇳 IndiaEntry LevelWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact
  • Design, develop, and deploy AI-powered solutions.
  • Build conversational AI systems, intelligent automation workflows, and machine learning applications.
  • Collaborate with senior engineers to deploy and monitor AI applications in production.
  • Build APIs and AI services using frameworks such as FastAPI.
  • Assist in model training, fine-tuning, evaluation, and experimentation.
  • Participate in code reviews, testing, debugging, and documentation activities.

Requirements

What you’ll need
  • Strong programming skills in Python.
  • Understanding of Data Structures and Algorithms.
  • Knowledge of Machine Learning fundamentals.
  • Understanding of Natural Language Processing (NLP) concepts:
  • - Tokenization
  • - Embeddings
  • - Text Classification
  • - Named Entity Recognition (NER)
  • - Semantic Search
  • - Transformer Models
  • Understanding of Generative AI concepts:
  • - Large Language Models (LLMs)
  • - Prompt Engineering
  • - RAG (Retrieval-Augmented Generation)
  • - Fine-tuning concepts
  • - AI Agent fundamentals
  • Familiarity with AI/ML frameworks:
  • - PyTorch or TensorFlow
  • - Hugging Face Transformers
  • - LangChain, LlamaIndex, or similar frameworks
  • Understanding of model deployment and serving concepts.
  • Familiarity with:
  • - Docker
  • - Git/GitHub
  • - CI/CD concepts
  • - Kubernetes (basic understanding)
  • - ML experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Basic knowledge of SQL databases.
  • Familiarity with vector databases such as Pinecone, Weaviate, Qdrant, or ChromaDB.
  • Understanding of REST APIs and FastAPI.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Hands-on academic projects, internships, or personal projects in AI/ML.
  • Experience building chatbots, AI assistants, or NLP applications.
  • Contributions to open-source AI projects are a plus.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

Benefits

Comp & perks
  • Hybrid setup
  • Worker's insurance
  • Paid Time Offs
  • Other employee benefits to be discussed by our Talent Acquisition team in India.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonData StructuresAlgorithmsMachine LearningNatural Language ProcessingTokenizationEmbeddingsText ClassificationNamed Entity RecognitionSemantic Search
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Artificial IntelligenceMaster's degree in Machine LearningMaster's degree in Data Science