Backend Engineer

Senior Backend Engineer responsible for designing, developing, and maintaining scalable, secure, and high-performance backend systems, APIs, and microservices. This role involves building and integrating AI-powered features, including LLMs, AI agents, RAG pipelines, embeddings, vector databases, and external AI APIs, while developing backend architecture supporting AI-driven applications and automation workflows.

Key responsibilities

Design, develop, and maintain scalable, secure, and high-performance backend systems, APIs, and microservices.

Build and integrate AI-powered features, including LLMs, AI agents, RAG pipelines, embeddings, vector databases, and external AI APIs.

Develop backend architecture supporting AI-driven applications and automation workflows.

Work across the full software development lifecycle, from system architecture and database design to deployment and production monitoring.

Collaborate on full-stack development when required, including integration between backend services and modern frontend applications.

Design and optimize RESTful APIs, WebSockets, and third-party integrations.

Manage relational and NoSQL databases, ensuring performance, scalability, data integrity, and security.

Implement cloud infrastructure, CI/CD pipelines, containerization, logging, monitoring, and production deployment.

Troubleshoot complex technical issues and improve system reliability, performance, and scalability.

Provide technical leadership through code reviews, architecture decisions, engineering standards, and mentoring junior/mid-level developers.

Collaborate closely with AI engineers, product teams, and management to translate business requirements into reliable technical solutions.

Evaluate new technologies and AI frameworks and determine their suitability for production implementation.

Qualifications

5+ years of professional software engineering experience, with strong specialization in backend development.

Strong proficiency in backend technologies such as Python, Node.js/TypeScript, Go, Java, or similar technologies.

Hands-on experience building production systems involving AI, Machine Learning, LLMs, AI Agents, or Generative AI.

Experience integrating platforms such as OpenAI, Anthropic, Gemini, or other LLM/AI APIs.

Familiarity with RAG architecture, vector databases, embeddings, prompt orchestration, and AI agent workflows is highly preferred.

Strong understanding of REST APIs, microservices architecture, asynchronous processing, authentication, and system integrations.

Strong knowledge of SQL and NoSQL databases, database architecture, and performance optimization.

Experience with AWS, GCP, or Azure, Docker, CI/CD, Git, and production deployment environments.

Strong knowledge of software architecture, design patterns, security, scalability, and clean coding practices.

Proven ability to independently solve complex technical problems and make senior-level architectural decisions.

Strong communication skills in English and ability to work effectively with international and cross-functional teams.