Senior AI Software Engineer

TINQIN

Design and implement AI-integrated backend systems for transformative insurance solutions at TINQIN. Mentor team members and drive technical decisions in a collaborative environment.

Posted 7/20/2026full-timeSofia • 🇧🇬 BulgariaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-integrated backend systems, with a strong focus on Java, Spring Boot, and cloud-native architectures. Proven ability to mentor team members and maintain high engineering standards through effective practices and collaboration.

Highest-signal resume keywords

Java DevelopmentAI Solution ImplementationMicroservices ArchitectureCI/CD PracticesMentorship and Knowledge Sharing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSpring BootAI SolutionsMicroservicesRAG PipelinesTDDBDDContainerizationCloud PlatformsAgentic System Design

Soft Skills

Problem SolvingCollaborationTechnical LeadershipCommunicationCritical Thinking

Tools & Technologies

GitDockerKubernetesAWSAzureGCPObservability ToolsDistributed TracingStructured LoggingLangChain4j

Industry Keywords

InsuranceFintechHealthcareRegulatory CompliancePolicy Administration SystemsClaims Platforms

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesMicroservicesPythonSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design and implement AI-integrated backend systems, including LLM-powered agents, RAG pipelines, tool orchestration frameworks, and insurance automation workflows.
Own technical decisions from architecture through production, addressing not only the happy path but also observability, failure handling, data quality, scalability, and performance under real-world load.
Actively participate in product design by identifying technical risks early, proposing pragmatic solutions, and understanding the business rationale behind every feature.
Use AI tools effectively and critically throughout the development lifecycle, including code reviews, design documentation, test generation, and debugging, while maintaining full accountability for the resulting output.
Maintain strong engineering practices in a fast-moving environment through structured pull requests, design documentation, test strategies, CI/CD pipelines, and meaningful code reviews.
Build lean solutions first, then iterate and scale. Avoid overengineering and evolve the architecture as product requirements mature.
Mentor team members and help raise the overall technical standard through knowledge sharing, code reviews, and leading by example.

Requirements

What you’ll need

Strong background in Java, including Spring Boot, microservices, cloud-native architectures, and both RESTful and event-driven systems.
Hands-on experience building production-grade AI solutions, including LLM integrations, agentic frameworks (e.g., LangChain4j, Spring AI), RAG pipelines, and prompt management.
Deep understanding of agentic system design, including tool usage, memory management strategies, multi-step reasoning, reliability patterns, and prompt versioning.
Proven experience working in complex, rapidly evolving domains; experience in insurance, fintech, or healthcare is considered a strong advantage.
Practical experience with modern software development practices, including Git workflows, TDD/BDD where appropriate, CI/CD, containerization (Docker/Kubernetes), and cloud platforms such as AWS, Azure, or GCP.
**Nice to Have**
Proficiency in Python for rapid AI prototyping, experimentation, and data pipeline development alongside a core Java stack.
Experience with observability and monitoring tools, including distributed tracing, structured logging, and LLM cost and latency monitoring.
Familiarity with insurance data models, policy administration systems, claims platforms, or regulatory compliance frameworks

Benefits

Comp & perks

Competitive remuneration package;
Dynamic and interesting work environment;
Opportunity to use cutting-edge technologies in real projects;
Collaboration with highly skilled and friendly colleagues;
Opportunity to learn and enhance your skills;
Additional corporate trainings, tech conferences tickets;
Annual employees performance check and reevaluation;
Team-building events;
Participation in charity and volunteer activities;
Life-work balance;
Social benefits – a monthly budget that includes:
- Additional health insurance – Luxury package;
- “Health with priority” medical insurance covering severe diseases;
- Employee Assistance Program, including psychological, finance, and legal advice;
- Flexible social benefits (food vouchers, fuel vouchers, sport card, and other options);
- Extra days off for loyal employees (+1 additional day paid leave for each year of length of service in TINQIN (up to 5));
- Office perks (coffee, soft drinks, fresh fruits, ice cream, sports, and relaxation area);
- Remote/hybrid working model (employees can choose whether to work from the office or home);
- Flexible working hours;
- Referral program bonuses