- 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
Zycus Recruitment Drive 2025 | Zycus Hiring Software Engineer
The job you are looking for is no longer available..- Company Name
- Zycus
- Company Website
- http://zycus.com/
- Job Role
- AI Engineer
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Mumbai
- Bengaluru/Bangalore
- Pune
- Skills
-
- Python
- Amazon Web Services (AWS)
- Microsoft Azure
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 01 Jul 2025
About Company
Job Overview
- 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.
Eligibility Criteria
- 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.
Job Description
- 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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