Generative AI / Intelligent Automation Engineer

DigitalXNode; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

DigitalXNode is seeking an Generative AI / Intelligent Automation Engineer to help build AI-enabled applications for automation, language intelligence, and smart decision-making. You will design scalable AI workflows, integrate modern language models, and collaborate with development teams to enhance AI capabilities for enterprise use cases.

The role focuses on building AI-driven solutions, RAG pipelines, LLM integration, and deployment workflows using leading AI frameworks and tools, with

Qualifications

• Strong understanding of Generative AI and intelligent automation concepts.
• Knowledge of Retrieval-Augmented Generation (RAG) architecture and implementation.
• Experience with Large Language Models such as GPT, Llama, or similar platforms.
• Proficient in Python programming language.
• Familiarity with NLP methods and applications.
• Experience using LangChain, LlamaIndex, or related AI frameworks.
• Understanding of ML/DL fundamentals and AI model deployment workflows.
• Knowledge of Hugging Face Transformers and NLP libraries.

Responsibilities

• Develop AI-driven applications using Generative AI technologies and frameworks.
• Build intelligent automation workflows using agentic AI concepts and orchestration tools.
• Create and maintain RAG pipelines for knowledge-based apps.
• Integrate LLMs into enterprise platforms and business systems.
• Support design, testing, and enhancement of AI/ML solutions.
• Work with structured and unstructured datasets for model training and analysis.
• Collaborate with internal teams on project goals and technical requirements.
• Implement NLP solutions for conversational and text-based apps.
• Assist in model fine-tuning, evaluation, deployment, and monitoring.
• Use AI libraries to improve system efficiency and response quality.
• Participate in technical reviews and planning discussions.
• Prepare technical docs, workflow summaries, and implementation reports.
• Follow development standards and security guidelines.
• Research emerging AI technologies and contribute process improvements.
• Support continuous enhancement of AI systems and workflows.

Skills

Generative AI

RAG architecture

Large Language Models

Python

NLP techniques

LangChain/LlamaIndex

ML/DL fundamentals

TensorFlow/PyTorch

AI model deployment

Hugging Face Transformers

Analytical thinking

Communication & teamwork

Adaptability

Attention to detail

Education

BE/B.Tech in CS/AI/DS/IT/ML

Tools

None

Job description

The Generative AI / Intelligent Automation Engineer will support the development of AI-enabled applications focused on automation, language intelligence, and smart decision-making systems. The role involves creating scalable AI workflows, integrating modern language models, and building intelligent solutions for enterprise use cases. The candidate will work closely with development teams, analysts, and stakeholders to improve AI capabilities, optimize workflows, and deliver reliable technology solutions using advanced AI frameworks and tools.

Key Responsibilities:

• Develop AI-driven applications using modern Generative AI technologies and frameworks
• Build intelligent automation workflows using Agentic AI concepts and orchestration tools
• Create and maintain Retrieval-Augmented Generation (RAG) pipelines for knowledge-based applications
• Integrate Large Language Models into enterprise platforms and business systems
• Support the design, testing, and enhancement of AI and machine learning solutions
• Work with structured and unstructured datasets for model training and analysis
• Collaborate with internal teams to understand project goals and technical requirements
• Implement Natural Language Processing solutions for conversational and text-based applications
• Assist in model fine-tuning, evaluation, deployment, and monitoring activities
• Use AI libraries and frameworks to improve system efficiency and response quality
• Participate in technical reviews, brainstorming sessions, and project planning discussions
• Prepare technical documents, workflow summaries, and implementation reports
• Follow development standards, software quality practices, and security guidelines
• Research emerging AI technologies and contribute ideas for process improvement
• Support continuous enhancement of AI systems, automation tools, and digital workflows

Required Skills:

• Strong understanding of Generative AI and intelligent automation concepts
• Knowledge of Retrieval-Augmented Generation (RAG) architecture and implementation
• Experience working with Large Language Models such as GPT, Llama, or similar platforms
• Good proficiency in Python programming language
• Familiarity with Natural Language Processing methods and applications
• Experience using LangChain, LlamaIndex, or related AI development frameworks
• Understanding of Machine Learning and Deep Learning fundamentals
• Experience with TensorFlow, PyTorch, or equivalent AI frameworks
• Knowledge of AI model integration and deployment workflows
• Familiarity with Hugging Face Transformers and NLP libraries
• Strong analytical reasoning and problem-solving abilities
• Good communication, teamwork, and collaboration skills
• Ability to adapt to fast-changing technical environments
• Attention to detail and focus on high-quality project delivery

Preferred Skills:

• Exposure to enterprise AI application development and deployment
• Understanding of intelligent agent workflows and AI-based automation systems
• Familiarity with cloud-enabled AI environments and modern deployment platforms
• Knowledge of data visualization and analytics concepts
• Experience improving AI model performance and workflow efficiency
• Familiarity with large-scale data handling and AI pipeline management
• Awareness of experimental and research-based AI development practices
• Understanding of agile methodologies and collaborative project execution
• Interest in emerging technologies, innovation, and AI transformation initiatives
• Ability to manage multiple priorities within cross-functional project teams

Selection Process:

• Resume screening and profile evaluation
• Participation in a technical hackathon or practical assessment round
• AI solution development and implementation activity
• Presentation and demonstration of the developed solution
• Final interaction and technical discussion with the hiring panel

Additional Information:

• The assessment process may be conducted as a two-day hiring event in Jaipur and Bengaluru
• Candidates are expected to carry their own laptops during the evaluation process
• Meal arrangements may be provided during the event schedule
• Candidates traveling from other locations may need to arrange their own accommodation

Education:

B.E. / B.Tech in Computer Science, Artificial Intelligence, Data Science, Information Technology, Machine Learning, or a related technical discipline from a recognized university or institution.