Java Tech Lead – GenAI
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 Description
We are looking for a highly skilled Java Tech Lead with strong experience in enterprise application development and a solid understanding of Generative AI technologies. The ideal candidate will lead the design and development of scalable solutions while driving the adoption of AI-powered capabilities across products and platforms.
Key Responsibilities
Lead the design, development, and deployment of enterprise-grade applications using Java and related technologies.
Architect and build scalable, high-performance microservices-based solutions.
Drive technical decisions, code quality, and best practices across development teams.
Collaborate with product managers, architects, and business stakeholders to translate requirements into technical solutions.
Mentor and guide developers through code reviews, design discussions, and technical coaching.
Integrate Generative AI capabilities into enterprise applications using modern AI frameworks and APIs.
Evaluate and implement Large Language Model (LLM)-based solutions for business use cases.
Work on AI-powered features such as intelligent assistants, document processing, summarization, semantic search, and workflow automation.
Ensure security, scalability, reliability, and performance of applications and AI integrations.
Required Skills
Core Java & Backend
Strong hands-on experience with Java (Java 8/11/17+)
Expertise in Spring Boot, Spring MVC, Spring Security
Microservices architecture and REST API development
Multithreading, Collections, JVM performance tuning
Database experience with SQL and NoSQL databases
Event-driven architecture (Kafka/RabbitMQ)
Cloud platforms (AWS/Azure/GCP)
Generative AI
Understanding of Large Language Models (LLMs) and AI application architectures
Experience working with OpenAI, Anthropic, Gemini, or similar AI models
Knowledge of Prompt Engineering and AI workflow orchestration
Experience with Retrieval-Augmented Generation (RAG)
Vector Databases such as Pinecone, Weaviate, Chroma, or FAISS
AI frameworks such as LangChain, LangGraph, LlamaIndex, or Spring AI
Experience building AI-powered enterprise applications and chatbots
Leadership
Technical leadership and solution architecture experience
Team mentoring and stakeholder management
Agile/Scrum delivery experience
Strong communication and problem-solving skills
Preferred Qualifications
Experience leading teams of 5+ engineers.
Exposure to Agentic AI frameworks and autonomous workflows.
Experience with Kubernetes, Docker, and CI/CD pipelines.
Knowledge of MLOps and AI governance principles.
Prior experience in SaaS product organizations is preferred.
Nice to Have
Experience with Model Context Protocol (MCP)
Knowledge of AI observability, evaluation, and guardrails
Exposure to procurement, finance, or enterprise workflow automation domains
Why Join Zycus? (Top 5 Reasons)
1. AI-First Product Organization
Work on cutting-edge AI and Generative AI solutions that are transforming enterprise procurement.
Opportunity to build products leveraging LLMs, Agentic AI, automation, and intelligent workflows.
2. Global Product Exposure
Collaborate with customers and teams across the US, Europe, APAC, and Middle East.
Gain experience solving complex challenges for Fortune 500 and global enterprise clients.
3. Innovation-Led Engineering Culture
Engineers are encouraged to drive architecture, innovation, and product improvements.
Strong focus on modern technologies including Cloud, Microservices, Kubernetes, AI, and Automation.
4. High Impact & Ownership
Opportunity to work directly on business-critical products used by some of the world's largest organizations.
Engineers and Tech Leads have significant ownership and visibility into product strategy and execution.
5. Career Growth & Leadership Opportunities
Fast-paced environment with opportunities to take on larger responsibilities and leadership roles.
Exposure to cross-functional teams including Product, Engineering, Customer Success, and AI Innovation groups.
About Zycus
Zycus is a global leader in AI-powered Source-to-Pay (S2P) procurement technology, helping enterprises streamline procurement, contract management, supplier management, sourcing, invoicing, and spend analytics.
Founded in 1998, Zycus serves large global organizations across multiple industries and has operations across North America, Europe, Asia-Pacific, and the Middle East. The company is known for driving innovation in procurement through AI, automation, and autonomous procurement solutions.
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