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OPTIVEUM sp. z o.o.

OPTIVEUM sp. z o.o.

via Teamtailor

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Principal Software Engineer - GenAI

Anywhere
Full-time
Posted 2/19/2026
Direct Apply
Key Skills:
AI/ML integration
Distributed systems
Cloud-native microservices

Compensation

Salary Range

$48K - 64K a year

Responsibilities

Lead the technical vision and implementation of AI-powered solutions leveraging large language models and modern cloud architectures.

Requirements

Extensive experience in scalable, resilient software development, AI/ML expertise with LLMs, cloud infrastructure, and modern software practices.

Full Description

Principal Software Engineer - GenAI Location: 100% Remote (Must be based in Poland) Salary: Up to 33,000 PLN net (+ VAT) / month Contract Type: B2B Work Model: Full-time, Flexible-First About the Client Our client is an intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. They provide the core platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Their modern SaaS solutions help insurers revolutionize how consumers interact with insurance companies. With over 1,000 successful implementations to date and a global team of more than 1,700 employees, they champion a "Flexible-First" remote work culture that fosters productivity, inclusion, and collaboration. You will be joining a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries. What You'll Do 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. Key Responsibilities: Technical Strategy: Lead the technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals. Core Architecture: 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. Cross-functional Collaboration: Partner with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems. Mentorship: Guide and mentor engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization. Security & Compliance: Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance. System Reliability: 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. DevOps/MLOps: Champion CI/CD and MLOps practices for the continuous delivery of AI features and models. Team Building: Participate in hiring and talent development for the GenAI team. What We Are Looking For Education: Bachelor’s degree (or higher) in Computer Science, Computer Information Sciences, or a related field. Experience: 7+ years of software development experience, paired with 5+ years of strategic leadership experience. Core Engineering: Expert in scalable, resilient, modern, cloud-native microservice development using Java, .NET, Python, or TypeScript. Architecture: Expert in distributed software patterns (DDD, microservices, serverless, and event-driven architecture). Experience with CQRS and Kafka. AI/ML Expertise: 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. Cloud & Infrastructure: Deep knowledge of cloud platforms, cloud-native architectures, and Serverless. Experience with Terraform/Ansible or other IaC platforms. Automation: Expert with CI/CD to deliver software enhancements to customers with full automation. Best Practices: Strong knowledge of data security, compliance, and responsible AI principles. Ability to lead, teach, and guide modern software development practices.

This job posting was last updated on 2/19/2026

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