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[IN] Developer, Gen AI Initiatives

Confidential

Karnataka, Bangalore Hybrid permanent

Posted: January 30, 2026

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Quick Summary

Innovate with Benchmark Gensuite as a Developer, Gen AI Initiatives. Everyone wants to make the world a better place. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion.

Job Description

Full Time
Bangalore, IN 

Innovate with Benchmark Gensuite as a Developer, Gen AI Initiatives

Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees.

Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses’ sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve your skills to develop fresh ideas and initiatives. 

Benchmark Gensuite Benefits

At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.

About Benchmark Gensuite

Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation

Job Overview: 

We are on the hunt for a Generative AI Developer to lead the forefront of our AI-driven initiatives. This pivotal role involves crafting, developing, and deploying advanced generative AI models that can generate text, images, code, and more to solve intricate business challenges. We seek a strong technical leader with a profound understanding of Generative AI technologies (LLMs) and the expertise to harness these capabilities to integrate Gen AI into our product platform. 

Responsibilities: 

Generative AI Solution Engineering: Design and implement generative AI models, focusing on applications like text generation, synthetic media creation, and automated content generation to address complex business needs.

Advanced Technical Mastery: Apply state-of-the-art AI, machine learning technologies, and frameworks (e.g., GPT, TensorFlow, PyTorch, Llama, Anthropic Claude, Moaic MPT etc.) to build and deploy generative models.

Data Management and Synthesis: Expertly clean, preprocess, and synthesize data for training generative models, ensuring the creation of high-quality, diverse datasets.

Model Training and Refinement: Construct and fine-tune generative models, employing techniques to evaluate and enhance their creativity, accuracy, and relevance.

Seamless Integration: Embed generative AI solutions into existing systems and workflows, enhancing operational efficiency and user engagement.

Cross-functional Collaboration: Partner with data scientists, software engineers, and business analysts to identify opportunities for generative AI applications and drive project success.

Continuous Enhancement: Actively seek ways to optimize model performance and efficiency, keeping scalability in mind.

Comprehensive Documentation: Keep meticulous records of models, codes, and methodologies for future reference and collaborative learning.

Trend Awareness: Remain abreast of the latest developments and ethical considerations in generative AI, ensuring the adoption of best practices and innovative technologies. 

Qualifications & Experience: 

Bachelor's degree in Computer Science, Artificial Intelligence, or a closely related field.

Demonstrated experience in developing and deploying generative AI models, with a portfolio showcasing practical applications.

Expert proficiency in programming languages such as Python, and familiarity with generative AI libraries and frameworks.

Deep knowledge of data preparation techniques specific to generative AI and experience in model training, tuning, and evaluation.

Understanding of integration challenges and solutions for generative AI within business applications.

Exceptional problem-solving abilities and a self-starter attitude.

Outstanding communication and teamwork skills, capable of bridging technical and business perspectives.

Experience with cloud computing environments (AWS, Azure, GCP) is desirable.

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