AI Software Architect/ Senior AI Engineer

Solid Software is looking for an AI Software Architect/ Senior AI Engineer to design and deliver production-grade solutions powered by LLMs. The role requires deep expertise in architecting, building, and operating complex AI systems: RAG, agentic workflows, tool calling, evaluation frameworks, and observability platforms.

The ideal candidate pairs strong software engineering fundamentals with a track record of shipping real-world AI products. Beyond experimentation, you can design scalable, reliable, and cost-effective LLM solutions that run successfully in production, with a solid grasp of modern AI architecture patterns, prompt engineering, retrieval systems, and agent orchestration.

What will you do?

Own the architecture of AI-powered services and ensure their effective integration with backend, mobile, and web applications.
Design, build, and maintain production-grade LLM applications using modern AI frameworks and orchestration platforms.
Lead technical design reviews and drive architectural decisions across AI services, backend systems, data pipelines, and cloud infrastructure.
Design and implement agentic workflows involving tool use, function calling, multi-agent systems, planning, memory management, and reasoning chains.
Design and optimize RAG architectures using vector databases, embeddings, document processing pipelines, and retrieval optimization techniques.
Establish evaluation frameworks to assess AI quality, reliability, latency, cost, and business impact, including benchmarking and automated quality assessment.
Implement AI observability and monitoring using tools such as Langfuse, LangSmith, OpenTelemetry, and similar platforms.
Optimize prompts, retrieval strategies, model selection, and system architecture to improve accuracy, performance, reliability, and cost efficiency.
Design scalable APIs and services that expose AI capabilities to internal and external applications, and deploy them on cloud platforms, primarily Google Cloud Platform (GCP).
Collaborate with software engineers, data scientists, product managers, and domain experts to translate business requirements into practical AI solutions.
Define AI engineering standards, best practices, and governance processes to support the development and maintenance of reliable AI systems.
Mentor engineers working on AI initiatives and contribute to architectural decisions and technical direction.
Document AI architectures, workflows, evaluation methodologies, and operational procedures to ensure maintainability and knowledge sharing.

Requirements:

10+ years of software engineering experience, including 5+ years building LLM-based and generative AI solutions in production.
Upper-Intermediate English (B2 or C1) for comfortable verbal communication within an international team.
A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
Strong Python development experience and software engineering fundamentals.
Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies.
Practical experience designing and implementing agentic systems involving tool use, function calling, planning, memory management, and multi-agent workflows.
Strong expertise in RAG architectures, vector databases, embeddings, prompting strategies, context management, and retrieval techniques.
Experience with AI evaluation and observability tools such as Langfuse, LangSmith, or similar platforms, including benchmarking, monitoring, and automated quality assessment.
Experience working with structured and unstructured data pipelines and databases, including PostgreSQL, vector databases, and document stores.
Production deployment experience with Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
Ability to evaluate architectural trade-offs involving model performance, latency, reliability, maintainability, and cost.
Strong communication, technical leadership, and mentoring skills, with the ability to collaborate effectively across engineering, data, and product teams.

Nice to have:

Experience working with commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, and Mistral, as well as fine-tuning techniques.
Experience in regulated, privacy-sensitive, or high-availability environments.
Experience integrating AI capabilities into mobile and web applications.
Familiarity with synthetic data generation and model optimization techniques.

Why Solid Software?

We support Ukraine;
A wonderful team of enthusiasts and like-minded people;
Atmosphere of comfortable work & life balance;
Flexible schedule and work-from-home opportunity;
Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
MacBook Pro and great tech;
Decent compensation;
Lack of bureaucracy;
Compensation for professional events, sports activities;
Corporate online parties and fun team-buildings;
Anniversary and birthday presents.

Professional growth:

Onboarding and mentorship program with a dedicated onboarding guide built by our team;
Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
Corporate library with the best programming books (+ an ability to order a particular book if we don't have it);
Professional and constant feedback.

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team.

Apply now and help us shape what comes next!