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Salary
$24k – $66k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Genesys is a global leader in cloud customer experience and contact center solutions that help businesses orchestrate personalized customer interactions. Through its AI-powered cloud platform, Genesys Cloud CX, the company unifies voice, digital channels, and workforce engagement into a single workspace. Headquartered in Menlo Park, California, it enables thousands of organizations across the world to optimize customer service, increase agent productivity, and drive brand loyalty.

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries- moving AI from possibility to production in real-world enterprise environments every day.

Software Engineer, AI/ML

India

Role Overview:

This role advances large scale conversational AI systems that power intelligent customer and employee interactions across thousands of organisations worldwide. You will build and optimise production grade AI services that improve intent understanding, response quality, and system reliability at scale. At Genesys, we combine empathy with AI innovation to create meaningful experiences, and this role contributes directly to how people engage with businesses globally. You will operate at the intersection of software engineering and applied machine learning, influencing architecture decisions, model performance, and platform scalability. The position offers strong exposure to enterprise AI systems, modern LLM frameworks, and cross functional collaboration with product, research, and design teams, creating clear pathways for technical growth and increased ownership.

Key Responsibilities:

  • Design and develop scalable AI driven systems that improve conversational accuracy and user experience across global platforms
  • Build and optimise real time and asynchronous AI pipelines to enhance system performance, latency, and reliability
  • Develop clean, maintainable backend services and APIs that integrate AI capabilities into distributed microservice architectures
  • Deploy and manage cloud native microservices on AWS to ensure high availability and resilience of AI systems
  • Fine tune and optimise large language models to improve inference efficiency and production readiness
  • Collaborate with researchers, data scientists, and engineers to translate AI innovations into production grade solutions
  • Monitor, evaluate, and improve AI workflows to drive measurable gains in performance, scalability, and operational efficiency
  • Contribute to the evolution of conversational AI, agentic systems, and natural language processing capabilities within the platform

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field with 3+ years of relevant industry experience; or a Master's/Ph.D. with 1-2 years of relevant experience preferred.
  • Proficiency in Python with experience in backend development.
  • Understanding of software engineering principles, system architecture, and distributed computing.
  • Experience working with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
  • Experience in fine-tuning LLMs and solid understanding of inference frameworks like vLLM
  • Good knowledge of API development and microservice architecture.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong problem-solving skills and ability to learn in a fast-paced, collaborative environment.

Preferred Qualifications:

  • Experience building real time AI applications such as chatbots, voice assistants, or AI copilots
  • Understanding of model deployment strategies and optimisation techniques for scalable systems
  • Contributions to open source AI projects, research publications, or patents in machine learning

#LI-Hybrid

#LI-GR1

Working at Genesys

  • AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+new AI features were released in the last fiscal year.

  • A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.

  • Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.

  • Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.

  • Recognized globally - Genesys is

    Great Place to Work®

    certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our

Careers site

and

Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

  • Our Talent Acquisition team reviews your application with the hiring team.

  • A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

  • Next, you'll meet the hiring manager and other members of the interview team.

  • We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

  • After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities

.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit

www.genesys.com

.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at

[email protected].

You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression,marital status, domestic partner status,national origin, genetics, disability,military andveteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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