Top Companies Hiring Generative AI Engineers

Top Companies Hiring Generative AI Engineers: Generative artificial intelligence (GenAI) is rapidly changing industries, leading to a high demand for skilled professionals. Companies in various fields like technology, finance, healthcare, and education are eager to use GenAI to innovate, improve operations, and create new products and services. This growing interest is shown by the increase in job postings for roles in data science, machine learning engineering, AI research, and more.

Industry leaders see the great potential of GenAI and are looking for top talent to help develop new applications. These companies, including major tech firms, consulting agencies, and financial services, are offering good salaries and the opportunity to work on exciting projects that will influence the future of GenAI. Here are the top companies hiring generative AI engineers:

Machine Learning Research Engineer - Generative AI

AMD · Bengaluru, Karnataka, India

Key Responsibilities

Pre-train and fine-tune over large GPU clusters while optimizing for various trade-offs.

Improve upon the state-of-the-art in Generative AI model architectures and training techniques.

Accelerate the training and inference speed across AMD accelerators.

Publish your work at top-tier conferences & workshops and/or through technical blogs.

Engage with academia and open-source ML communities.

Drive continuous improvement of infrastructure and development ecosystem.

Preferred Experience

Strong development and debugging skills in Python.

Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed).

Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA).

Solid understanding of various types of transformers and state space models.

Strong publication record in top-tier conferences, workshops or journals.

Solid communication and problem-solving skills.

Apply Here

Generative AI Engineer

HCLTech · Noida, Uttar Pradesh

Key Responsibilities

Collaborate with customers to define AI/ML project requirements and ensure alignment with business goals.

Stay up-to-date on the latest advancements in Gen AI, ML, and DL to identify new opportunities.

Provide technical guidance and support to customers and partners as a Gen AI subject matter expert.

Deliver product and solution briefings, showcasing the capabilities of Google Cloud AI (or your specific cloud platform) and Gen AI tools.

Design and implement proof-of-concept (POC) projects to demonstrate the value of Gen AI solutions on the cloud platform.

Recommend integration strategies, cloud architectures, and best practices for building and deploying Gen AI applications.

Partner with product management to prioritize solutions that drive customer adoption of the cloud platform and Gen AI services.

Support developers and creators in leveraging cloud-based Generative Language APIs to build their own AI products.

Preferred Experience

Master’s degree in computer science, Artificial Intelligence, or a related field (or bachelor’s degree with relevant experience).

Minimum of 5 years’ experience applying ML and DL techniques to solve real-world problems.

Strong understanding of Generative AI concepts, including GANs, VAEs, and GPTs.

Familiarity with cloud computing platforms, preferably with experience in AWS, Microsoft Azure, or Google Cloud Platform.

Excellent communication and presentation skills to engage both technical and non-technical audiences.

Ability to work collaboratively in a cross-functional team environment.

Strong problem-solving skills and a passion for innovation

Apply Here

Generative AI Research Senior Engineer

Citi · Pune, Maharashtra, India

Key Responsibilities

Contribute to the research and conceptual builds of Generative AI products,

Design and build high-quality, highly reliable products with user experience at the center

Be responsible for turning research insight into best-in-class AI platforms for the bank

Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank

Continually iterate and scale Generative AI products, whilst continually researching the advancements in technology and listening to the needs of the customers (internal)

Mentor and nurture other engineers to help them grow their skills and expertise

Preferred Experience

A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs, ML/Ops automation and more.

Exp 12+ YRS

Have experience supporting fast-paced startup engineering teams

Understanding of language models and transformers

Have used LangChain and even contributed to the project.

Fluency in at least two programming language, with preference for Python, JavaScript/Typescript, Golang

Experience designing control and sandboxing systems for AI research

Pytorch or TensorFlow experience

Experience maintaining and/or contributing to bug bounty and responsible disclosure programs

Rich understanding of vector stores and search algorithms

Large-scale ETL development

Direct engineering experience of high performance, large-scale ML systems

Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale

Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

Apply Here

Generative AI Engineer

Sinar Mas · Delhi, India

Key Responsibilities

Lead the development and deployment of LLM and General AI models, focusing on scalable solutions.

Specialize in API development for LLM deployment using Flask, FastAPI, or Django, ensuring seamless integration into products.

Design, construct, install, test, and maintain highly scalable data management systems, ensuring robust data pipelines for AI deployments.

Implement data ingestion routines both from within and outside the company, ensuring data quality and accessibility for advanced analytics.

Demonstrate a deep understanding of Langchain and LlamaIndex for cutting-edge LLM applications.

Collaborate with product teams and stakeholders to implement AI-driven solutions that meet business needs.

Stay updated with AI advancements, particularly in LLM and deployment methodologies, to keep solutions innovative.

Qualifications

Expertise in LLM, General AI, and the deployment of AI models.

Strong experience in API development with Flask, FastAPI, or Django.

Knowledge of Langchain and LlamaIndex for LLM applications.

Expertise in AI and ML development tools, frameworks, and libraries (TensorFlow, PyTorch, GPT, etc.).

Proven ability in data engineering, including managing data pipelines, databases, and real-time data processing systems.

Proficient in Python and familiar with AI/ML libraries and frameworks.

Innovative thinker with excellent problem-solving capabilities.

BSc/BA in Computer Science, Engineering, or related; a graduate degree in a relevant area is highly preferred.

Apply Here

Generative AI Engineer

CompuGroup Medical US · Noida, Uttar Pradesh, India

Key Responsibilities

Collaborate with data scientists, product managers and solution architects to understand business requirements and translate them into technical solutions.

Contribute to defining and developing modern machine learning algorithms & deep learning methods to uncover patterns within extensive machine data sets.

Work closely with data engineers to prepare, clean and transform data for use in AI models.

Participate in the model development lifecycle including model design, experiment, evaluation, prototyping, and production.

Analyze data sources, analytics, and machine learning models, including Large Language Models (LLMs) to map them to feature sets.

Work with large-scale datasets, designing, and developing generative algorithms.

Write clean, efficient, and well-documented code to develop and implement AI algorithms and models.

Monitor and maintain machine learning and large language models in production environments.

Stay up-to-date on the latest advancements in AI research and development relevant to integration solutions.

Preferred Experience

Bachelors or masters degree in computer science, Artificial Intelligence, or a related field, alternatively relevant experience.

Minimum 2-3 years of experience in designing and developing AI solutions.

Strong proficiency in programming languages such as Python, Java, and/or C++.

Deep understanding of machine learning algorithms and deep learning architectures.

Experience in building and maintaining scalable API solutions.

Ability to work independently and collaboratively within a team environment.

Excellent problem-solving skills and a passion for innovation.

Experience in healthcare IT is an added advantage.

Apply Here

Generative AI Engineer

StartUs Insights · India

Key Responsibilities

Join multiple efforts to create cutting-edge LLM-driven applications for users.

Design, train and deploy transformer-based solutions for areas such as chatbots, information extraction, search, and recommendation systems

Design tests and evaluate model's performance and accuracy

Preferred Experience

A minimum of two years of relevant experience with machine learning (ML) algorithms, artificial intelligence, deep learning, and/or natural language processing

Experience building production ML and NLP systems

Experience working directly with large language models, GPT, and Transformers in general

Strong python coding skills and experience working with ML frameworks such as TensorFlow

Experience with exploratory Data Analysis and data pre-processing

Passion for innovation and the latest machine learning developments

Apply Here

FAQs

What is Generative Artificial Intelligence (GenAI)?

Generative Artificial Intelligence (GenAI) refers to a branch of artificial intelligence (AI) that focuses on creating algorithms capable of generating new content, such as images, text, or even music, that closely resemble human-produced content.

How does Generative AI work?

Generative AI works by training algorithms on large datasets of existing content, allowing them to learn patterns and characteristics. Once trained, these algorithms can generate new content by combining and extrapolating from the patterns they've learned.

What are some applications of Generative AI?

Generative AI has a wide range of applications, including creating realistic images for video games and movies, generating text for chatbots and content creation, designing new products and prototypes, and even composing music.

What are the ethical implications of Generative AI?

Generative AI raises ethical concerns regarding the potential misuse of generated content, such as deepfakes, which can be used to spread misinformation or manipulate public opinion. There are also concerns about bias in training data and the implications of AI-generated content on intellectual property rights.

How can businesses leverage Generative AI?

Businesses can leverage Generative AI to enhance their product development processes, automate content creation, personalize user experiences, and improve decision-making through predictive modeling and simulation. However, they must also consider the ethical and legal implications and ensure responsible use of this technology.