6-18 LPA: Generative AI Engineer – High-Paying Role at Zycus!

Zycus, recognized by Gartner and Forrester as a leader in procurement technology, empowers teams to unlock deep value through its comprehensive Source-to-Pay (S2P) solutions. At the heart of our S2P solution is the Merlin AI Agentic Platform, which orchestrates intelligent AI agents to deliver simplified, efficient, and compliant processes.

The Merlin Intake Agent offers business users unparalleled ease of use, increasing adoption rates and significantly reducing non-compliant spending. For procurement teams, Merlin Autonomous Negotiation Agent handles tail spend autonomously, securing additional savings, Merlin Contract Agent helps draft compliant contracts and reduces risks by actively monitoring them, and the Merlin AP Agent further enhances efficiency by automating invoice processing with exceptional speed and accuracy.

Unlock #DeepValueProcurement with our Merlin Agentic AI-powered Source-to-Pay platform.

Job Title: Generative AI Engineer

Location: India

Job Type: Full Time

About the job

Tario (available at www.tario.ai) is an Agentic AI-powered sales outreach platform designed to function like a top-performing SDR (Sales Development Representative). It automates personalized, multi-channel outreach with precision and context, primarily targeting enterprise sales teams.

It acts proactively like a digital sales rep—it understands goals, makes decisions, adjusts strategies, and engages prospects autonomously. It’s built to deliver continuous, nuanced communication that adapts in real time.

We are looking for a skilled and driven AI Engineer with hands-on experience in implementing real-world AI solutions.

Key Roles and Responsibilities

Proven experience in end-to-end AI implementatio
Strong hands-on expertise in RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP)
Demonstrated ownership of at least 2 AI use cases — from design to deployment.
Experience with vector databases, embeddings, and prompt engineering.
Ability to work independently and collaborate with cross-functional teams.
Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms
Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains
Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes
Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data
Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure
Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques

Skills and Expertise:

Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field
Proven experience in building and scaling AI-powered applications, preferably as part of SaaS products.
Strong hands-on development skills in any modern programming language (e.g., Python, Java, Node.js, Go, etc.) – language is flexible, but product-thinking is a must
Deep understanding of AI/ML concepts, including NLP, deep learning, and predictive analytics – especially from an application integration perspective.
Practical experience applying AI to solve real business problems, not just experimentation or research.
Sound knowledge of search systems, data modeling, and information retrieval – especially how users interact with large or complex datasets.
Familiarity with cloud environments (AWS/GCP/Azure) and microservice-based architectures.
Strong experience working with APIs, distributed systems, and cloud-native tools like S3, Redshift, Spark, etc.
Bonus: Experience in building intelligent UIs or AI copilots for enterprise or productivity too
Ability to own features end-to-end and collaborate closely with product managers and designers. Comfortable in fast-paced, cross-functional, startup-like teams.

Five Reasons You Should Join Tario:

1. Cutting-Edge Agentic AI Work: We are leveraging Agentic AI—the next-gen of AI where systems think and act like autonomous agents, not just passive tools

2. Clear Product-Market Fit: It’s tech that’s driving business value: more meetings, shorter sales cycles, higher response rates. Joining now means becoming part of a company with early traction and growth momentum.

3. High-Impact Roles & Ownership: As a growing company, Tario likely offers greater autonomy, faster decision-making, and the chance to wear multiple hats.

4. Solving a Universal Problem: Outbound sales are hard—most emails go unopened, and SDRs are overwhelmed. Tario’s AI solves that pain with precision personalization at scale.

5. Strong Learning Curve: You will be exposed to the State-of-the-art AI/ML workflows, sales tech ecosystem (CRM integrations, outreach automation, engagement tracking), fast-paced product iteration and startup-style growth.