Software Engineer

About this role

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Skills you'll use

What you'll do

• This role requires a blend of technical expertise, leadership skills, and the ability to foster a collaborative and innovative environment. We are looking for a Project Lead familiar with cloud-native and AI-native development practices. Our software is built around AI at its core—LLMs, agents, and retrieval systems—and runs on IaaS (Google Cloud/AWS/etc.), so familiarity with these environments and their managed AI services is a plus. Full ownership of your code will be encouraged, including deployment, testing, evaluation, and validation of both traditional and AI components. You will lead a team of software and AI engineers, coaching and mentoring them. Familiarity with CI/CD, test-driven development, and evaluation-driven development (eval harnesses for AI features) will be a benefit.

Who can apply

• 3-5 years of practical Java experience
• 1-2 years of experience with prompt engineering and prompt/agent scripting
• 1-2 years of hands-on experience integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce and other SaaS)
• Proven ability to design and manage domain-specific languages, prompt templates, and agent instruction frameworks
• Develop and optimize microservices that power high-performance data and embedding pipelines, handling up to 10 million rows and feeding vector stores
• Proficiency in Python, Java, and JavaScript, with strong Python skills for the ML/AI ecosystem
• Experience with RESTful and streaming APIs, model/inference endpoints, web services, and integration technologies
• Knowledge of cloud computing and managed AI services (e.g., AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI)
• Create customer-centric AI solutions such as RAG assistants, agentic workflows, and AI-driven customer service
• Create data and knowledge-base migration tools for SaaS applications, including moving embeddings and vector data between cloud instances

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