
Keywords Studios · Pune, Maharashtra, India, IN · 9 days ago
Helpshift is a leading customer service platform powered by AI and automation, helping businesses deliver exceptional customer support experiences across digital channels. We are looking for passionate AI Engineers who are eager to build intelligent systems using the latest advancements in Generative AI, NLP, and Machine Learning.
As an Entry-Level AI Engineer, you will work with experienced engineers and data scientists to design, develop, and deploy AI-powered solutions. You will contribute to building conversational AI systems, intelligent automation workflows, Retrieval-Augmented Generation (RAG) pipelines, and machine learning applications that enhance customer support experiences.
This role is ideal for candidates with a strong foundation in Python, Natural Language Processing (NLP), Generative AI, and MLOps who are excited about solving real-world problems using AI technologies.
Develop and maintain AI/ML applications using Python.
Build and optimize NLP pipelines for text processing, classification, information extraction, and semantic search.
Develop Generative AI solutions using Large Language Models (LLMs).
Implement Retrieval-Augmented Generation (RAG) systems using vector databases and embedding models.
Design prompts and evaluate LLM responses for quality and performance.
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.
Work with MLOps tools to automate model deployment, monitoring, and versioning.
Participate in code reviews, testing, debugging, and documentation activities.
Stay updated with emerging AI, NLP, and Generative AI technologies.
Headquarters
Pune, Maharashtra, India
Work Location
on-site
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
full-time
Experience Level
entry-level
Application Method
Apply via Website
Salary
Not specified
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