Quick Summary
OUR HIRING PROCESS:
We review your application against our job requirements. We do not use machine learning technologies during this phase, as we believe every human deserves attention from another human. Our seasoned recruiting professionals provide a fair and detailed assessment, recognizing that every person is unique.
You may be invited to submit a video interview for the hiring manager's review. This video interview is often followed by a test or short project to determine team fit.
Next, you will be invited to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc., and we never hire without a face-to-face meeting (or via Zoom). You will meet our INFUSE team in a live meeting or Zoom.
Finally, it's decision time! If you are still excited to join INFUSE and we find you to be a great fit, we will discuss your offer. We do not extend offers without a live conversation.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
We are seeking a highly skilled AI & Software Solutions Architect with expertise in developing complex software solutions for big data processing and high-load environments. This role involves defining and leading the end-to-end architecture for our enterprise platform. You will actively participate in discovery phases, design, and guide the implementation of end-to-end solutions combining data and cloud services. This position is instrumental in shaping our AI architecture strategy, driving automation with intelligent agent systems, and modernizing enterprise software workflows. You will own the reference architectures, guardrails, and roadmaps for secure, high-load big data processing and AI capabilities (LLMs, agentic applications) across multiple clouds. You will bridge the gap between business and technology, collaborating with stakeholders and engineering teams to build scalable, secure architectures aligned with business goals.
Key Responsibilities:
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Design and communicate scalable, reliable, and secure solutions that align with industry best practices.
- Participate in developing IT strategies, technologies, and project roadmaps.
- Ensure solutions are designed for performance, security, scalability, and high availability.
- Design and build cloud-native, LLM-based, and agentic AI solutions addressing real client business challenges.
- Write production-grade NodeJS/Python for PoCs, architectural prototypes, and AI integrations.
- Deploy ML and LLM-based solutions.
- Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.
- Lead architecture reviews, produce technical design documents, and contribute to standards.
Requirements:
- 5+ years building and running production systems — not only demos and POCs.
- Strong understanding of software development methodologies and practices, including Agile and DevOps.
- Hands-on experience building production LLM-based applications and agentic workflows.
- Extensive experience with cloud platforms. Prior experience with AWS is a plus.
- Understanding of modern backend stacks (NodeJS/Python) and experience with legacy migration (PHP) is a benefit.
- Experience with database design and management (SQL, NoSQL).
- Strong understanding of software architecture patterns, including microservices, event-driven architecture (EDA), CQRS (Command Query Responsibility Segregation), and Domain-Driven Design (DDD).
- Hands-on experience designing and implementing event streaming systems using Apache Kafka, RabbitMQ, or similar brokers.
- Familiarity with Data Lakehouse architecture, including concepts like Delta Lake, Apache Iceberg, or similar table formats.
- Proficiency in documenting and visualizing system designs using various tools and approaches.
- Familiarity with hybrid search approaches (vector + full-text BM25/Elasticsearch).
- Strong query optimization skills across SQL and NoSQL databases (indexing, partitioning, query plans).
- Experience integrating LLMs into production systems — RAG pipelines, function calling, AI agent patterns.
- Certifications such as AWS Certified Solutions Architect, SEI, SAFE, and Claude Code Certifications nice to have.
What You'll Bring:
Mindset
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.
- Already using AI tools in your daily workflow (Claude Code, Copilot, or similar).
- Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to think strategically.
- B2+ English, comfortable collaborating across distributed, multicultural teams.
We offer:
- Competitive salary tailored to the candidate's experience and skills. Payments are processed monthly (USD).
- Full Remote, Work schedule: Monday-Friday, from 1:00 pm to 9:00 pm EEST (incl. 60-min breaks).
- Opportunity to work with cutting-edge AI and cloud solutions.
- Access to the latest AI tools and premium subscriptions.
- Long-term B2B collaboration.
- Paid sick leave, vacation, and public holidays.
- Reduced Fridays during the summer.
Our recruitment process:
- Interview with HR.
- Technical interview with Team.
- Final interview with the Hiring Manager.