Back to Browse Jobs
Cognizant
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Unknown · São Paulo, Brazil
30 open roles5 posted in 7d30 in 30d
Work-life balance 4.4Compensation & benefits 4.3Culture & values 4.3
Hiring: Engineering
What employees say
+ Initiative the works to develop technical knowledge
− There is no time consumption
More reviews on the company profile.
Interview experience · Jr.Software Engineer
1)2Technical round (Based on Technical Skill ,Two Coding based Question,SQL) 2)Hr discussion (if selected ) Cognizant helps companies modernize technology, reimagine processes and transform experiences so they stay ahe
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Role: Gen AI Engineer
Qualifications
- Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
- Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
- Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
- Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
- Build and deploy AI applications on cloud platforms any hyperscaler Azure, GCP or AWS.
- Integrate AI models with our company's data to enhance and augment existing applications.
- Handle data preprocessing, augmentation, and generation of synthetic data.
- Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
- Develop and Maintaining AI Pipelines
- Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
- Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
- Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
- Ensure the robustness, efficiency, and scalability of AI systems.
- Stay updated with the latest advancements in AI and machine learning technologies.
- Strong foundation in machine learning, deep learning, and computer science.
- Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
- Experience with natural language processing (NLP) and computer vision is a plus.
- Ability to work independently and as part of a team.
- Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
- Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
- Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
- Experience in developing and deploying AI models in production environments.
- Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions
- Should be able to bring new ideas and innovative solutions to our clients
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 25 October 2026
- How do I apply for Gen AI and Agentic AI at Cognizant?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cognizant may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Gen AI and Agentic AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Gen AI and Agentic AI remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Gen AI and Agentic AI role at Cognizant?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.