Quick Summary
Our Hiring Process
We review each application against our job requirements manually, without machine learning technologies, ensuring a fair and detailed assessment by seasoned recruiting professionals. Every candidate is unique and deserves individual attention.
Following the initial review, you may be invited to submit a video interview for the hiring manager's review. This is often followed by a test or short project to assess your 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 or Telegram, and we never extend an offer without a face-to-face meeting (either live or via Zoom) with our INFUSE team.
Finally, if you remain excited to join INFUSE and we find you to be a great fit, we will discuss your offer. Offers are always made after 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 comprehensive solutions that integrate data and cloud services. This position is crucial for 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 (including LLMs and agentic applications) across multiple clouds, bridging the gap between business and technology 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 to address real client business challenges.
- Write production-grade NodeJS/Python for Proofs of Concept (PoCs), architectural prototypes, and AI integrations.
- Deploy Machine Learning (ML) and Large Language Model (LLM)-based solutions.
- Implement MLOps, LLMOps, and AgentOps practices, including CI/CD, automated testing, model monitoring, and experiment tracking.
- Lead architecture reviews, produce technical design documents, and contribute to standards.
Requirements
- 5+ years of experience building and running production systems (beyond 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 beneficial.
- 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, including RAG pipelines, function calling, and AI agent patterns.
- Certifications such as AWS Certified Solutions Architect, SEI, SAFE, and Claude Code Certifications are a plus.
What You'll Bring
Mindset
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.
- Already using AI tools in your daily workflow (e.g., Claude Code, Copilot).
- Proactive and self-directed; you own outcomes end-to-end and identify problems before they are assigned.
- 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 proficiency, comfortable collaborating across distributed, multicultural teams.
We Offer
- Competitive salary tailored to experience and skills, with monthly payments (USD).
- Full Remote work schedule: Monday-Friday, from 1:00 pm to 9:00 pm EEST (including 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 the Team.
- Final interview with the Hiring Manager.