Job Description
Company Name : Zangoh
Job Title : SWE : Generative AI L3
Job Type : Full Time | Onsite
Company Location : Indore
Industry : Software Development
Functional Area : Generative AI & Digital Workforce Engineering
Technologies : Python (with exposure to cutting-edge GenAI tools and frameworks)
About Zangoh
At Zangoh, we’re redefining the future of work by building and deploying an autonomous digital workforce—our “Digital Employees.” These aren’t just AI agents; they’re purpose-built, enterprise-grade collaborators that free human teams from repetitive tasks, enabling them to focus on strategy, innovation, and customer delight. We leverage state-of-the-art generative AI, large language models, and advanced machine learning to create digital specialists that seamlessly integrate into your business processes and deliver outcomes that matter.
About Our Founder
Mr. Shrey Sharma, our Founder & CEO, is an IIT Kharagpur alumnus and Silicon Valley veteran with a proven track record at industry giants like Pinterest, Yahoo, and Amazon. A pioneer in next-generation recommendation systems and advanced AI deployments, Shrey drives Zangoh with the bold vision of empowering enterprises globally with a digital workforce that enhances human creativity and operational excellence. With multiple patents, published research, and a relentless passion for innovation, he is leading Zangoh to build solutions that go beyond software—delivering tangible, measurable outcomes.
Why Join Us?
- Pioneering Impact : Build parts of a digital workforce that transforms how businesses operate, from customer support to finance and beyond.
- Entrepreneurial Culture : Thrive in a startup environment that values initiative, rapid learning, and creative problem-solving.
- Cutting-Edge Technologies : Work with the latest generative AI tools and SOTA frameworks that drive our Digital Employees to deliver real-world impact.
- Exceptional Growth : Get unparalleled mentorship and accelerate your career by working on projects that define the future of enterprise automation.
- Collaborative Innovation : Join a team of innovators dedicated to redefining work—a place where every contribution is valued, and every idea can spark a revolution.
Your Role
As a Software Engineer, Generative AI (Level 3) , you will be a key architect in building our next-generation Digital Employees. In this role, you will :
a. Develop AI-Powered Digital Employees :
Collaborate with a passionate team to build intelligent, autonomous AI collaborators using advanced frameworks such as LangChain, AutoGen, and LangGraph.Engineer end-to-end agentic automation solutions that not only engage but execute critical business functions.b. Advance Model Fine-Tuning & Optimization :
Contribute to the fine-tuning and continuous improvement of our generative AI models.Apply advanced techniques including Parameter Efficient Fine-Tuning (PEFT), Reinforcement Learning from Human Feedback (RLHF), and Direct Preference Optimization (DPO) to optimize performance.c. Cross-Functional Collaboration :
Work hand-in-hand with senior engineers, data scientists, and product managers to conceptualize, design, and deploy Digital Employees across industry use cases.Engage in code reviews, technical brainstorming, and collaborative problem-solving to overcome complex challenges.d. Embrace DevOps & Cloud Integration :
Get hands-on with containerization (Docker) and orchestration (Kubernetes) to deploy and scale our Digital Employees on leading cloud platforms (AWS, GCP, or Azure).Contribute to building a resilient, scalable platform that continuously delivers value across enterprise workflows.e. Commit to Continuous Learning :
Stay abreast of the latest research and breakthroughs in generative AI, machine learning, and digital workforce automation.Engage in a culture of rapid experimentation and knowledge sharing to build state-of-the-art AI solutions.What We're Looking For
Qualifications
a. Educational Background :
Bachelor’s degree in Computer Science, Engineering, or a related field from a reputable institution.b. Technical Proficiency :
Python Expertise : Proficient in Python with a deep understanding of data structures, algorithms, and software design principles.AI / ML Passion : Genuine interest in generative AI, large language models, and creating autonomous digital workers.Tools & Frameworks : Familiarity with Git and version control; exposure to AI / ML libraries (TensorFlow, PyTorch) is a plus.c. Soft Skills :
Entrepreneurial Mindset : Self-driven, proactive, and eager to solve complex challenges.Fast Learner : Quick to embrace new concepts and emerging AI technologies.Autonomous & Collaborative : Capable of working independently yet thrives in a team-focused, innovative environment.Results-Oriented : A relentless focus on delivering high-quality, outcome-driven solutions.What We Offer
Competitive Compensation : Attractive salary with performance-based incentives.Professional Growth : Mentorship from top industry experts and opportunities to attend premier AI conferences.Innovative Culture : A collaborative, agile environment that fosters creativity and leadership.Career Path : Clear opportunities for advancement as you grow from a top-tier engineer into a future leader in digital workforce innovation.Interview Process
a. Coding Tests :
Round 1 : Focus on logical reasoning and problem-solving.Round 2 : Evaluate your coding skills and algorithmic understandingb. Domain-Specific Project :
A hands-on technical project related to generative AI to showcase your ability to develop Digital Employees.c. Technical Interviews :
In-depth discussion to explore your technical expertise, methodologies, and approach to solving complex AI challenges.d. Behavioral Interviews :
Assessment of your cultural fit, collaboration style, and passion for innovation.Join the Revolution
If you’re passionate about building the next generation of Digital Employees—AI-powered colleagues that drive real business outcomes—Zangoh is the place to be. Help us reshape the future of work with tools that empower humans to focus on what matters most.
To Apply :
Send your resume and a brief note on what excites you about generative AI and building a digital workforce to hello@zangoh.com.