Posted 24 July, 2026
AI Engineer
NR Consulting
Mumbai,Maharashtra
Full Time
Reference: 365_463738_26-00009
Title: AI Engineer
Location: Mumbai
Exp: 3-5 Years
Job Description:
Responsibilities:
Develop and optimize LLM Agents and AI solutions, leveraging frameworks such as Langchain and Langgraph.
Design, implement, and maintain scalable and efficient data pipelines using technologies like BigQuery, SQL, NoSQL (ElasticSearch), and GCS Bucket.
Automate data processing tasks and workflows using Python, GCP Run Functions, Scheduler, and other relevant tools.
Engage in the backend development of AI-driven applications, integrating advanced ML models and ensuring seamless API functionality.
Work on projects involving Langchain for General AI-RAG and AI-Agent Development.
Participate in the development of backend services using Python, ensuring they meet high standards of performance and scalability.
Secondary Responsibilities:
Assist in front-end development using frameworks like NextJs and React Native Android to provide a polished user experience.
Support in designing and maintaining user interfaces, ensuring seamless integration with backend services.
Engage in web application development to enhance the functionality and usability of the platforms.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or a related field.
Proven experience as an AI Engineer, Data Engineer, or similar role with a strong focus on backend and data systems.
Familiarity with AI frameworks and libraries (Langchain, Langgraph).
Solid understanding of data processing, machine learning, and AI technologies.
Expertise in Python and hands-on experience with AI model development and integration.
Proficiency with database management systems like BigQuery, SQL, NoSQL.
Strong knowledge of data engineering tools and cloud services, particularly GCP Run Functions and Scheduler.
Experience in deploying and maintaining high-performance APIs.
Excellent problem-solving skills and ability to work on complex, interdisciplinary projects.
Strong collaboration and communication skills.
Ability to manage multiple projects and meet deadlines effectively.
Location: Mumbai
Exp: 3-5 Years
Job Description:
Responsibilities:
Develop and optimize LLM Agents and AI solutions, leveraging frameworks such as Langchain and Langgraph.
Design, implement, and maintain scalable and efficient data pipelines using technologies like BigQuery, SQL, NoSQL (ElasticSearch), and GCS Bucket.
Automate data processing tasks and workflows using Python, GCP Run Functions, Scheduler, and other relevant tools.
Engage in the backend development of AI-driven applications, integrating advanced ML models and ensuring seamless API functionality.
Work on projects involving Langchain for General AI-RAG and AI-Agent Development.
Participate in the development of backend services using Python, ensuring they meet high standards of performance and scalability.
Secondary Responsibilities:
Assist in front-end development using frameworks like NextJs and React Native Android to provide a polished user experience.
Support in designing and maintaining user interfaces, ensuring seamless integration with backend services.
Engage in web application development to enhance the functionality and usability of the platforms.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or a related field.
Proven experience as an AI Engineer, Data Engineer, or similar role with a strong focus on backend and data systems.
Familiarity with AI frameworks and libraries (Langchain, Langgraph).
Solid understanding of data processing, machine learning, and AI technologies.
Expertise in Python and hands-on experience with AI model development and integration.
Proficiency with database management systems like BigQuery, SQL, NoSQL.
Strong knowledge of data engineering tools and cloud services, particularly GCP Run Functions and Scheduler.
Experience in deploying and maintaining high-performance APIs.
Excellent problem-solving skills and ability to work on complex, interdisciplinary projects.
Strong collaboration and communication skills.
Ability to manage multiple projects and meet deadlines effectively.
