[Hiring] Senior Java Full stack Developer @BMC Helix

Role Description

We are looking for an experienced AI Builder who combines strong software engineering fundamentals with hands-on experience building applications using Generative AI and emerging AI technologies. In this role, you will build the next generation of AI-powered tools and experiences for our documentation platform. The initial focus will be on:

• Developing platform tooling, automation, content workflows, integrations, search, and knowledge capabilities.
• Expanding into AI-assisted authoring, intelligent content processing, AI-powered knowledge experiences, and agentic workflows.

This is a hands-on engineering role. The ideal candidate is a full-stack/product developer who knows how to apply AI to real-world software problems and can take an idea from concept and prototype through production.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

• Build AI-powered applications, tools, and workflows for our documentation platform.
• Develop full-stack solutions spanning frontend, backend, APIs, databases, integrations, and cloud services.
• Build AI capabilities using LLMs, RAG, embeddings, semantic search, tool calling, and agentic workflows.
• Develop AI agents that can interact with documentation repositories, developer tools, APIs, and enterprise systems.
• Build automation for content creation, transformation, validation, publishing, and maintenance.
• Develop integrations with Git repositories, content platforms, CI/CD pipelines, and enterprise services.
• Build knowledge and search experiences across large documentation repositories.
• Prototype new AI capabilities rapidly and turn successful prototypes into production-quality applications.
• Evaluate new AI models, frameworks, agent technologies, and developer tools and determine how they can be applied to product use cases.
• Work closely with product managers, architects, UX, documentation/IX, and engineering teams to turn ideas into working solutions.
• Own features end-to-end, including design, implementation, testing, deployment, monitoring, and ongoing improvement.

Qualifications

• 6–10 years of professional software development experience, with approximately 8 years preferred.
• Strong hands-on programming experience in Python, Java, JavaScript/TypeScript, Node.js, or similar languages.
• Strong full-stack development experience, including frontend and backend application development.
• Strong understanding of software architecture, APIs, databases, data structures, and application design.
• Experience building and deploying production applications.
• Experience working with cloud platforms and modern development practices.
• Hands-on experience building applications using Generative AI / LLM technologies.
• Practical understanding of RAG, embeddings, vector search, prompt engineering, structured outputs, tool/function calling, and AI orchestration.
• Strong debugging and problem-solving skills.
• Ability to rapidly learn and apply new AI technologies.
• Ability to work independently and take ownership of ideas from prototype through production.

Requirements

• Experience building AI agents or agentic applications.
• Experience with agent frameworks such as LangGraph, LangChain, Semantic Kernel, or equivalent.
• Experience with MCP or similar approaches for connecting AI applications to tools and enterprise systems.
• Experience with vector databases such as Qdrant, Pinecone, Weaviate, Milvus, or equivalent.
• Experience with documentation platforms, developer tools, content-management systems, knowledge platforms, search, or content-as-code.
• Experience working with Git-based content workflows.
• Experience building AI-powered search, knowledge, or enterprise applications.
• Experience with AI evaluation, observability, guardrails, and quality measurement.
• Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.

Benefits

• Competitive salary and variable plan.
• Country-specific benefits.
• Pay transparency and commitment to fair compensation practices.