Generative AI / Intelligent Automation Engineer

DigitalXNode; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

DigitalXNode seeks a Generative AI / Intelligent Automation Engineer in Bengaluru, Karnataka. The role involves developing AI-driven applications and building intelligent automation workflows using modern technologies. Required skills include expertise in Generative AI, Python programming, and experience with large language models. Candidates should have a B.E./B.Tech in Computer Science or related fields. This position offers an opportunity to work on cutting-edge AI applications and participate in the dynamic fields of automation and language intelligence.

Qualifications

• Strong understanding of AI and automation concepts is required.
• Experience integrating large language models into applications is preferred.
• Familiarity with deep learning frameworks and natural language processing is essential.

Responsibilities

• Develop AI-driven applications using modern Generative AI technologies.
• Build intelligent automation workflows using orchestration tools.
• Create and maintain RAG pipelines for knowledge-based applications.
• Integrate language models into enterprise platforms.
• Collaborate closely with internal teams on project goals.

Skills

Generative AI concepts

Retrieval-Augmented Generation (RAG) architecture

Large Language Models (GPT, Llama)

Python programming

Natural Language Processing

LangChain, LlamaIndex

Machine Learning fundamentals

Deep Learning frameworks (TensorFlow, PyTorch)

AI model integration

Hugging Face Transformers

Problem-solving

Teamwork and collaboration

Education

B.E. / B.Tech in Computer Science or related field

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.