Industry: Artificial Intelligence / Software Development
Experience: 1–2 years
About the Role
Our client is a fast-growing technology company building AI-powered products for enterprise customers across industries. They are looking for a passionate AI Engineer to join their team and work on developing, deploying, and optimizing AI-driven solutions that solve real-world business problems.
Role Overview
As an AI Engineer, you will work on building and integrating machine learning and Generative AI solutions into scalable applications. You will collaborate with product managers, data engineers, and backend developers to design intelligent systems that enhance automation, decision-making, and user experience.
This role is ideal for someone with 1–2 years of hands-on experience in AI/ML development and a strong interest in building production-ready AI systems.
Key Responsibilities
Develop, test, and deploy machine learning and AI models for real-world applications
Build and integrate LLM-based features (e.g., chatbots, summarization, RAG pipelines)
Work with structured and unstructured data for training and fine-tuning models
Implement APIs and backend services to serve AI models in production
Optimize model performance, latency, and scalability
Collaborate with cross-functional teams in an Agile development workplace
Participate in code reviews, experimentation, and model evaluation
Required Skills
1–2 years of hands-on experience in AI/ML development
Solid proficiency in Python
Experience with ML frameworks such as TensorFlow or PyTorch
Understanding of NLP concepts and LLM integrations
Familiarity with REST APIs and backend development concepts
Experience working with vector databases or embeddings (preferred exposure)
Solid problem-solving skills and analytical thinking
Good communication skills
Nice to Have
Experience with Generative AI frameworks (e.g., LangChain or LangGraph)
Exposure to cloud platforms like AWS, Azure, or GCP
Familiarity with Docker and basic DevOps concepts
Experience with knowledge graphs or graph databases
Understanding of RAG (Retrieval-Augmented Generation) pipelines
Education
Bachelor’s or Master’s Degree in Computer Science, Engineering, Data Science, or a related field
📌 Junior Ai Engineer Bengaluru
🏢 NeoRecruit
📍 Bengaluru
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