Principal Software Engineer - GenAI

OPTIVEUM sp. z o.o. • Capon Bridge, WV

6h • Remote

About The Position

As a Principal Software Engineer on the GenAI team, you will drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives. You will design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services. This role requires deep technical expertise, hands-on coding, and the ability to align multiple engineering teams toward a shared vision.

Requirements

• Bachelor’s degree (or higher) in Computer Science, Computer Information Sciences, or a related field.
• 7+ years of software development experience, paired with 5+ years of strategic leadership experience.
• Expert in scalable, resilient, modern, cloud-native microservice development using Java, .NET, Python, or TypeScript.
• Expert in distributed software patterns (DDD, microservices, serverless, and event-driven architecture). Experience with CQRS and Kafka.
• Proven experience with LLM integration, RAG pipelines, vector databases, and prompt engineering. Hands-on experience with transformer-based models, Hugging Face, LangChain, or similar frameworks.
• Deep knowledge of cloud platforms, cloud-native architectures, and Serverless. Experience with Terraform/Ansible or other IaC platforms.
• Expert with CI/CD to deliver software enhancements to customers with full automation.
• Strong knowledge of data security, compliance, and responsible AI principles. Ability to lead, teach, and guide modern software development practices.

Responsibilities

• Lead the technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals.
• Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines. Architect solutions for high-complexity Agile stories across multiple domains.
• Partner with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems.
• Guide and mentor engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization.
• Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance.
• Debug and resolve complex issues in distributed AI systems to ensure minimal downtime and high availability. Build monitoring, alerting, and observability for SaaS-delivered products.
• Champion CI/CD and MLOps practices for the continuous delivery of AI features and models.
• Participate in hiring and talent development for the GenAI team.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal