AI Engineer

1to1help; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

1to1help is seeking an AI Engineer to design, implement, test, and deploy AI-driven applications. The role focuses on NLP, Generative AI, LLM-based solutions, and predictive analytics to support business operations and customer experience initiatives.

The ideal candidate has 2–3 years of AI/ML experience, strong Python skills, and hands-on with TensorFlow/PyTorch. Exposure to healthcare/HealthTech is a plus; hybrid work with 3 days in office and 2 remote days is offered.

Qualifications

• Bachelor’s or Master’s degree in CS/AI/DS/Engineering or related field.
• 2–3 years of AI/ML Engineering experience.
• Healthcare, Wellness, HealthTech exposure preferred.
• Strong Python programming skills.
• Hands-on with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with NLP, Generative AI, LLMs, Chatbots, or Recommendation Engines is a plus.
• Familiarity with APIs, cloud platforms (AWS/Azure/GCP), and deployment workflows.
• Understanding of data pipelines and software engineering practices.
• Full-time role with 6 months probation. Working 5 days a week; hybrid (3 in office, 2 remote).

Responsibilities

• Develop, test, and deploy AI-driven applications and ML solutions.
• Support automation and AI initiatives to improve efficiency and scalability.
• Enhance customer engagement with AI-powered solutions.
• Build NLP, Generative AI, and LLM-based applications; predictive analytics use cases.
• Develop APIs and integrate AI into products and platforms.
• Preprocess data, train models, evaluate and optimize performance.
• Collaborate with product, engineering, and analytics teams to translate business needs into AI solutions.
• Monitor model performance and improve scalability and efficiency.
• Document AI models, workflows, and implementations.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LLMs

NLP

Chatbots

Recommendation Engines

APIs

Cloud Platforms

Data Pipelines

Education

Bachelor’s or Master’s degree in Computer Science/AI/Data Science/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

AWS

Azure

GCP

Job description

The AI Engineer will be responsible for developing, testing, and deploying AI-driven applications and machine learning solutions that support business operations, digital products, and customer experience initiatives. The role requires strong technical expertise in AI/ML technologies, problem-solving ability, and collaboration with cross-functional teams to build scalable and impactful solutions. Candidates with prior exposure to the healthcare or wellness domain will be preferred.

Key Responsibilities

• Support automation and AI initiatives to improve operational efficiency and scalability.
• Contribute to optimization of business processes through AI-based solutions.

Customer

• Develop AI-powered solutions to enhance customer engagement and user experience.
• Support personalization, recommendation systems, and intelligent automation initiatives.
• Work on AI models that improve service quality, analytics, and business outcomes.

Technology & Strategic Support

• Design, build, test, and deploy AI/ML models and applications.
• Work on NLP, Generative AI, LLM-based applications, and predictive analytics use cases.
• Develop APIs and integrate AI solutions into products and platforms.
• Perform data preprocessing, model training, evaluation, and optimization.
• Collaborate with product, engineering, and analytics teams to translate business requirements into AI solutions.
• Monitor model performance and continuously improve scalability and efficiency.
• Maintain documentation for AI models, workflows, and technical implementations.
• Stay updated with advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.
• Support strategic AI and digital transformation initiatives as required

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related disciplines.
• Minimum 2–3 years of experience in AI/ML Engineering or related roles.
• Experience in Healthcare, Wellness, HealthTech, or related domains preferred.
• Strong programming experience in Python.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar technologies.
• Exposure to NLP, Generative AI, LLMs, Chatbots, or Recommendation Engines preferred.
• Familiarity with APIs, cloud platforms (AWS/Azure/GCP), and deployment workflows.
• Understanding of databases, data pipelines, and software engineering practices preferred
• Full-time role with 6 months probationary period.
• 5 days a week / Day shifts only.
• Hybrid setup (3 days Work From Office + 2 days Work From Home).