Senior AI Engineer

Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

We Are An Equal Opportunity Employer:
Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.

Job Title: Senior AI Engineer

Location: Mumbai | Pune | Bengaluru

Experience: 2–4 Years

About the Role

We are looking for a passionate and innovative Senior AI Engineer to join our growing AI team. You will design, develop, and deploy cutting-edge AI-powered applications using Large Language Models (LLMs), Generative AI, and modern machine learning frameworks. You will collaborate with cross-functional teams to build scalable, production-ready AI solutions that solve complex business problems.

Key Responsibilities

· Design, build, and deploy AI/ML solutions with a focus on Generative AI and Large Language Models (LLMs).

· Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.

· Build AI agents and multi-agent workflows using modern orchestration frameworks.

· Fine-tune, evaluate, and optimize LLMs for domain-specific use cases.

· Integrate AI models with enterprise applications and APIs.

· Develop scalable backend services to support AI applications.

· Collaborate with Product, Engineering, and Data teams to deliver AI-driven features.

· Monitor model performance, latency, accuracy, and cost optimization in production.

· Stay updated with the latest advancements in Generative AI, NLP, and Machine Learning.

Required Skills

· 2–4 years of experience in AI/ML or Generative AI development.

· Strong proficiency in Python.

· Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).

· Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.

· Experience building RAG applications using vector databases.

· Hands-on experience with vector databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS.

· Strong understanding of prompt engineering and LLM evaluation.

· Experience with PyTorch or TensorFlow.

· Knowledge of REST APIs and backend development.

· Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

· Good understanding of software engineering best practices and Git.

Preferred Skills

· Experience building AI agents or autonomous workflows.

· Knowledge of MCP (Model Context Protocol).

· Experience with fine-tuning open-source LLMs using LoRA/QLoRA.

· Familiarity with Hugging Face ecosystem.

· Experience with CI/CD pipelines and MLOps.

· Knowledge of NLP, embeddings, semantic search, and vector similarity search.

· Experience working in SaaS or enterprise software products.

Qualifications

· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

What We're Looking For

· Strong problem-solving and analytical skills.

· Excellent communication and collaboration abilities.

· Passion for Generative AI and continuous learning.

· Ability to work in a fast-paced product environment.

What's in it for you?

· Be part of one of the pioneers in AI-powered Source-to-Pay procurement, building intelligent products for global enterprises.

· Work on next-generation Agentic AI, LLM-powered applications, and enterprise-scale automation solutions.

· Collaborate with world-class product, engineering, and AI teams to solve complex business problems at scale.

· Take ownership of impactful features from ideation to deployment in a fast-paced product environment.

· Accelerate your career with continuous learning, mentorship, and exposure to the latest AI technologies.

· Experience a culture of innovation, ownership, and collaboration while contributing to products trusted by leading global organizations.

· Enjoy competitive compensation, comprehensive benefits, and opportunities for long-term career growth.