Zycus Off Campus Drive 2025 | AI Engineer | Bengaluru, Pune, Mumbai

Zycus has invited applications for the recruitment of AI Engineer post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Zycus Off Campus Drive 2025 Details:

Experience: Freshers

Post Name: AI Engineer

Qualification: Bachelor’s/ Master’s in computer science, AI, or related field

Batch: Recent Batches

Salary: Rs. 7 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Bengaluru, Pune, Mumbai

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Job Description:

We seek an innovative AI Engineer to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs, and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling, and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments.

Key Responsibilities:

Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs.
Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs.
Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs.
Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks.
Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases.
Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption.
Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility.

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Five Reasons Why You Should Join Zycus

Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React.
A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites.
Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization
Get a Global Exposure: You get to work and deal with our global customers.
Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

About the Company:

Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite.

Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.

Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization.

Start your #CognitiveProcurement journey with us, as you are #MeantforMore

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Job Requirement

Experience & Qualifications:

Bachelor’s/master’s in computer science, AI, or related field.
Expertise in Python and backend frameworks like FastAPI/Flask.
Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows.
Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.).
Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector).
Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP).
Skilled in building scalable APIs and microservices for AI applications.

Preferred Qualifications:

Experience optimizing inference for open-source models (quantization, distillation).
Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks.
Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow).
Contributions to open-source AI/ML projects.

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How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: