Zycus, a recognized global leader in Cognitive Procurement and a Gartner Leader in Source-to-Pay Suites, is hiring AI Engineers for its offices in Mumbai, Pune, and Bengaluru. This is your chance to work with next-gen technologies like Llama 2, Mistral, OpenAI, and Anthropic APIs—and contribute to building scalable AI systems used by Fortune 500 companies.
🧠 Role: AI Engineer (GLO05348)
📍 Locations: Mumbai, Pune, Bengaluru
💼 Type: Full-Time | Department: Global Delivery
🌐 Work Model: Hybrid
🗓️ Experience: 2–5 years preferred
🌟 Why Zycus?
- ✅ Top SaaS Company building Cloud-native AI/ML procurement solutions
- 🌍 Global exposure with Fortune 500 clients
- 📈 Build scalable production-grade systems
- 🛠 Work with self-hosted open-source LLMs and advanced frameworks
- 💡 Innovation-friendly culture with fast career growth
- 🤖 Power AI products like Merlin AI—used globally by procurement leaders
🔧 Key Responsibilities
- Design and deploy LLM-based solutions using HuggingFace, Ollama, OpenAI, etc.
- Work on Retrieval Augmented Generation (RAG), GraphRAG, and Agent Systems with tool/function calling.
- Host open-source models via vLLM, TensorRT-LLM, or similar tools.
- Develop APIs using FastAPI or Flask for seamless integration.
- Create automated pipelines for training and evaluation of AI/ML models.
- Monitor performance, optimize cost-efficiency, and ensure system reliability.
- Stay ahead of AI trends and implement cutting-edge technologies into products.
🧑💻 What You Should Bring
- Bachelor’s/Master’s in Computer Science, AI, or related field
- Strong knowledge of Python, FastAPI/Flask, REST APIs
- Hands-on experience with RAG pipelines, Agent orchestration, and LLM fine-tuning (LoRA, QLoRA)
- Experience with open-source models like LLaMA 2, Mistral, etc.
- Familiar with Vector DBs like Pinecone, pgvector, or Qdrant
- Worked on LangChain, LlamaIndex, HuggingFace Transformers
- Exposure to Cloud Platforms – AWS, Azure, or GCP
🔍 Bonus Points For:
- Optimizing LLM inference (quantization, distillation)
- Experience with MLOps tools like MLflow, Kubeflow
- Contribution to open-source AI/ML projects
- Familiarity with multi-agent systems and chain-of-thought prompting
💰 Salary & Perks
- Competitive salary (based on experience)
- Performance bonuses & ESOPs
- Health insurance, training budgets, and hybrid work model
- Fast-track promotions and leadership training
📝 How to Apply?
Zycus is actively reviewing applications. Submit your profile via their official careers page or apply directly on job platforms.