Position:
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AI Engineer
Company:
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AB InBev GCC Service India Pvt. Ltd.
Location:
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Bangalore, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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30083184
Years of experience:
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0-3 years
Company description
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AB InBev GCC Service India Pvt. Ltd. was formed in 2014 to support Anheuser-Busch InBev by using data and analytics to boost critical business functions.
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The company serves as a strategic partner, harnessing data insights to fuel growth across finance, operations, people, and technology functions.
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It helps shape the future of operations by bringing technology and analytics into the decision-making process.
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AB InBev itself is the world’s leading brewer, aiming to bring people together through experiences that strengthen connections.
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The company has a global presence, with over 500 beer brands enjoyed worldwide, and is committed to long-term growth that positively impacts communities.
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AB InBev’s brands include global names like Budweiser, Corona, and Stella Artois, along with regional favorites like Aguila, Brahma, and Skol.
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The organization fosters a culture that encourages dreaming big, continuous improvement, and a commitment to brewing the best beer.
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AB InBev’s initiatives reach beyond brewing to include community development and agricultural support, reflecting a dedication to social and economic impact.
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The company continues to invest in building a workforce that combines passion, talent, and curiosity, empowering teams to thrive and innovate.
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With a heritage rooted in bringing people together, AB InBev sees the act of sharing a beer as a timeless connector of cultures and communities.
Profile overview:
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The AI Engineer will join the Global Brand Analytics Team, which focuses on strengthening AB InBev’s brands by delivering data-driven insights and strategic guidance.
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The role involves developing innovative solutions that turn brand-related data into actionable insights, supporting marketing teams in making decisions based on solid analysis and advanced modeling.
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The AI Engineer will work closely with the Senior Manager, collaborating with teams to implement AI solutions that improve brand visibility and performance.
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Key areas of responsibility include working with large language models (LLMs), multi-modal retrieval systems, streaming data, and natural language processing for database interactions.
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The position requires proficiency in building scalable APIs, containerizing AI services, and deploying real-time data pipelines for efficient operations.
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Additional focus areas include data processing strategies, AI frameworks like TensorFlow and PyTorch, and prompt engineering to enhance model output and performance.
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The engineer will play a critical role in deploying AI models that can process various forms of data including text, images, audio, and video to extract meaningful insights.
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The team environment encourages exploring new technologies, refining processes, and collaborating on projects that have a global impact.
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This role offers an opportunity to apply cutting-edge AI techniques in a real-world context, directly influencing how AB InBev’s brands connect with customers.
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A passion for beer and a mindset to dream big are encouraged as part of the company culture, aligning with the broader mission to create future experiences with more cheers.
Qualifications:
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Candidates should hold a degree in business analytics, data science, statistics, economics, engineering, mathematics, or computer science.
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A solid foundation in AI/ML frameworks like TensorFlow or PyTorch is essential, along with experience using LangChain and LangGraph technologies.
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Proficiency in working with large language models and building agentic patterns such as ReAct, ReWoo, and LLMCompiler is required.
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Familiarity with multi-modal AI systems that incorporate text, images, audio, and video for richer insights is highly valued.
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Candidates should be comfortable designing chunking strategies and clustering techniques for processing large datasets efficiently.
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Experience in streaming and real-time processing, including low-latency inference architectures for audio and video data, is necessary.
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Proficiency in building scalable APIs using FastAPI for AI model serving and deployment is a key requirement.
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Knowledge of containerization using Docker and managing services with orchestration tools is needed for deploying AI services.
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Skills in natural language-driven SQL generation and optimization for database queries using natural language interfaces are expected.
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The ability to apply advanced prompting techniques like Chain of Thought prompting, LLM Judge, self-reflection prompting, and prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy is highly sought after.
Additional info:
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The engineer will contribute to solutions that combine technical rigor with a creative approach to brand storytelling.
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The role involves continuous learning and staying updated with the latest AI techniques and tools that can enhance marketing insights.
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Collaboration is key, as the engineer will work with cross-functional teams that include data scientists, marketing strategists, and other technical professionals.
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The position requires a proactive attitude in proposing new ways to leverage data, enhance models, and improve decision-making across brand initiatives.
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Working at AB InBev offers the chance to contribute to a company that celebrates both global scale and local impact, combining a passion for beer with a dedication to community.
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Employees are encouraged to think creatively and challenge the status quo, finding new opportunities to optimize data-driven approaches.
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The work environment supports professional development and values innovative thinking that aligns with the company’s vision for future growth.
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There is a clear emphasis on using technology to transform how the company understands and engages with customers in dynamic markets.
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The engineer’s work will play a part in shaping the future of AB InBev’s brands, ensuring they remain relevant and resonant with consumers worldwide.
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This role is for those who are excited about working in a space that blends technology, data, and creativity to drive brand success.
Please click here to apply.
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