Zycus Recruitment Drive 2025 | Zycus Hiring Software Engineer

www.djobbuzz.com 02 May 2025

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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

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.

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.

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.