# AI Engineer (Fresher / Entry-Level)

**Company**: Helpshift
**Location**: Pune, Maharashtra
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Salary**: Competitive salary and benefits package
**Category**: Engineering
**Industry**: Technology

**Apply**: https://apply.workable.com/j/C8BF016A6E?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8c63446e-0ad

## Description

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.

Responsibilities

- Develop and maintain AI/ML applications using Python.

- Build and optimise 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 up-to-date with emerging AI, NLP, and Generative AI technologies.

Requirements

## Technical Skills

- Strong programming skills in Python.

- Understanding of Data Structures and Algorithms.

- Knowledge of Machine Learning fundamentals.

- Understanding of Natural Language Processing (NLP) concepts:

- Tokenisation

- 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

## MLOps Knowledge

- 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.)

## Database & API Skills

- Basic knowledge of SQL databases.

- Familiarity with vector databases such as Pinecone, Weaviate, Qdrant, or ChromaDB.

- Understanding of REST APIs and FastAPI.

Preferred Qualifications

- 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.

What We Look For

- Strong problem-solving and analytical skills.

- Passion for AI, Machine Learning, and emerging technologies.

- Curiosity to learn and experiment with new AI frameworks and tools.

- Good communication and teamwork skills.

- Ability to work in a fast-paced, collaborative environment.

Nice-to-Have Projects

Candidates who have built any of the following will stand out:

- AI Chatbot using LLMs

- RAG-based Question Answering System

- AI Agent using LangChain or LlamaIndex

- Document Search and Retrieval Platform

- Customer Support Automation Bot

- NLP Classification or Information Extraction System

- End-to-End ML Deployment Project with Docker/Kubernetes

Benefits

- Hybrid setup

- Worker's insurance

- Paid Time Offs

- Other employee benefits to be discussed by our Talent Acquisition team in India.

## Skills

### Required
- Python
- Data Structures and Algorithms
- Machine Learning
- Natural Language Processing
- Generative AI
- PyTorch
- TensorFlow
- Hugging Face Transformers
- LangChain
- LlamaIndex
- Docker
- Git/GitHub
- CI/CD
- Kubernetes
- MLflow
- Weights & Biases
- SQL databases
- vector databases
- REST APIs
- FastAPI

### Nice to have
- 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
- Familiarity with cloud platforms such as AWS, GCP, or Azure

---

Source: [Apply at apply.workable.com](https://apply.workable.com/j/C8BF016A6E?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)