IT Delivery
Infosys · Bengaluru East, Karnataka, India
This listing has closed — view similar roles below.
- On site
- Full-time
- $120,000 / year
- Bengaluru East, Karnataka, India
Job highlights
- Develop cutting-edge AI solutions.
- Utilize advanced ML and data science.
- Work with cloud platforms.
- Lead and mentor engineering teams.
- Ensure ethical AI development.
About the role
Agentic AI and Generative AI Engineer
Infosys is seeking an experienced Agentic AI and Generative AI Engineer to join our dynamic technology team. This role will focus on leveraging cutting-edge AI technologies to develop innovative solutions. If you are passionate about AI and have a strong background in machine learning, data science, and cloud platforms, we encourage you to apply.
Responsibilities:
- Design and implement Agentic AI and Generative AI solutions, including Prompt Engineering and Agent Engineering.
- Develop and deploy machine learning models using algorithms such as linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.
- Utilize data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras.
- Work with cloud computing platforms including AWS, Azure, and GCP.
- Apply Natural Language Processing (NLP) techniques, including Transformer models, attention mechanisms, and word embeddings.
- Implement Computer Vision techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and object detection.
- Incorporate Robotics concepts like reinforcement learning, motion planning, and control systems.
- Ensure adherence to Responsible AI principles, including bias mitigation, fairness, transparency, and accountability.
- Design and build LLM data pipelines, focusing on preprocessing, feature extraction, and model integration.
- Lead and mentor a team of developers, providing technical direction and fostering innovation.
- Understand architecture and design fundamentals, testing tools, and agile methodologies.
- Participate in all phases of the project lifecycle for development and maintenance projects.
- Apply estimation methodologies and understand software quality assurance principles.
- Demonstrate a sound understanding of SOLID design principles and modeling methods.
- Stay updated with the latest technologies and industry trends.
- Utilize excellent problem-solving, analytical, and debugging skills.
Qualifications:
- Proficient knowledge in Responsible AI and Data Privacy principles.
- Commitment to upholding privacy standards, mitigating bias, and fostering trust.
- Strong experience in designing data pipelines for LLM creation.
- Proven leadership capabilities to guide and mentor a team.
- Knowledge of more than one technology.
- Basics of Architecture and Design fundamentals.
- Knowledge of Testing tools.
- Knowledge of agile methodologies.
- Understanding of Project life cycle activities.
- Understanding of one or more Estimation methodologies.
- Knowledge of Quality processes.
- Basics of business domain to understand business requirements.
- Strong Technical Skills.
- Good communication skills.
- Good understanding of the technology and domain.
- Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods.
- Awareness of latest technologies and trends.
- Excellent problem solving, analytical and debugging skills.
Key skills/competency:
- Agentic AI
- Generative AI
- Prompt Engineering
- Machine Learning
- Data Science
- Cloud Computing
- Natural Language Processing
- Computer Vision
- Responsible AI
- Leadership
Skills & topics
- Agentic AI Engineer
- Generative AI Engineer
- Prompt Engineering
- Machine Learning
- Data Science
- AI Development
- LLM Pipeline
- Responsible AI
- Infosys Careers
- Technology Jobs
How to get hired
- Tailor your resume: Highlight experience in Agentic AI, Generative AI, Prompt Engineering, and machine learning algorithms. Use keywords from the job description like 'LLM Pipeline Creation' and 'Responsible AI'.
- Showcase technical skills: Emphasize your proficiency with data science tools (NumPy, Pandas, TensorFlow) and cloud platforms (AWS, Azure, GCP). Include experience with NLP and Computer Vision.
- Demonstrate leadership: Provide examples of your leadership capabilities, team mentoring, and technical direction in previous roles. Mention experience with agile methodologies.
- Prepare for technical questions: Be ready to discuss your understanding of machine learning algorithms, data ethics, and software quality assurance principles. Practice explaining complex technical concepts clearly.
- Research Infosys: Understand Infosys's mission, values, and recent AI initiatives. Align your answers to show how your skills and experience contribute to their goals.
Technical preparation
Practice designing LLM data pipelines.,Review machine learning algorithms.,Familiarize with cloud AI services.,Understand Responsible AI principles.
Behavioral questions
Describe a complex AI project you led.,How do you ensure ethical AI practices?,How do you mentor junior engineers?,How do you stay updated on AI trends?
Frequently asked questions
- What are the primary AI technologies used at Infosys for this Agentic AI and Generative AI Engineer role?
- For the Agentic AI and Generative AI Engineer position at Infosys, the primary AI technologies include Agent Engineering, Prompt Engineering, and Generative AI. You will also be working with machine learning algorithms, NLP, computer vision, and robotics, leveraging tools like TensorFlow and cloud platforms such as AWS, Azure, and GCP.
- What is the expected experience level for the Agentic AI and Generative AI Engineer role at Infosys?
- While the job description emphasizes strong technical skills and leadership capabilities, a proficient knowledge in areas like Responsible AI, Data Privacy, and LLM pipeline creation suggests an expectation for experienced professionals. Proven leadership and the ability to guide a team are key indicators of an intermediate to senior level role.
- Does Infosys offer opportunities for professional development in AI for this role?
- Infosys encourages staying aware of the latest technologies and trends. For an Agentic AI and Generative AI Engineer, this implies a company culture that supports continuous learning and professional growth in the rapidly evolving field of artificial intelligence.
- What are the key responsibilities for an Agentic AI and Generative AI Engineer at Infosys?
- Key responsibilities include designing and implementing Agentic AI and Generative AI solutions, developing machine learning models, creating data pipelines, and ensuring ethical AI practices. You will also be expected to lead and mentor a team of developers.
- How does Infosys approach data ethics and Responsible AI in their projects?
- Infosys places a strong emphasis on Responsible AI and Data Privacy. Candidates are expected to have proficient knowledge in ensuring ethical data handling, transparency, accountability, mitigating bias, and fostering trust in all AI development stages.
- What are the required technical skills for the Agentic AI and Generative AI Engineer role?
- Required technical skills include expertise in machine learning algorithms, data science tools (NumPy, Pandas, TensorFlow), cloud platforms (AWS, Azure, GCP), NLP (Transformer models), and computer vision (CNNs). Experience with LLM pipeline creation and a good understanding of software quality assurance principles are also essential.