Senior Software Engineer — AI Engineering

Accountabilities •

Own the design, development, deployment, and ongoing operation of backend services and core system components, ensuring their quality, reliability, and continued evolution.

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Lead initiatives from ideation through production by identifying opportunities, defining technical solutions, coordinating contributors, and driving delivery.

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Build and productize AI-powered features, including intelligent agents, assistants, and automation workflows that customers can rely on in production.

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Design agent creation and orchestration systems, including multi-step workflows, tool and function calling, state management, guardrails, and fallback mechanisms for model failures.

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Develop, refine, and systematically evaluate prompts and retrieval pipelines, using measurable results rather than intuition alone to assess quality.

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Partner closely with Product to translate ambiguous business needs into practical technical solutions, define appropriate minimum viable products (MVPs), and connect engineering decisions to user and business value.

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Use AI-assisted coding tools effectively in daily development while maintaining full engineering accountability for the correctness, security, and maintainability of shipped code.

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Review both human-written and AI-generated code, identifying potential issues and maintaining high standards for software quality and long-term sustainability.

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Explore new AI models, tools, and development approaches through proofs of concept, then integrate successful innovations into established engineering practices.

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Apply strong system design principles to build scalable, reliable backend systems and evolve the technical architecture of the assigned domain.

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Mentor other engineers, provide technical guidance, and contribute to a collaborative culture of continuous learning and improvement.

Requirements

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At least 5 years of professional experience in backend software development.

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Hands-on experience building and deploying production-grade applications using large language models (LLMs), including model APIs, structured outputs, agents, and multi-step workflows.

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Experience managing real-world AI challenges, including failure handling, latency, cost optimization, and the reliability of AI-powered features.

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A structured, methodical approach to prompt engineering and AI-assisted development, with a willingness to iterate deliberately and measure output quality.

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Strong experience with relational databases and data modeling in production environments.

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Solid knowledge of distributed systems, system design, software design patterns, algorithms, and data structures.

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Experience working with continuous integration and continuous delivery (CI/CD) pipelines and Agile development methodologies.

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Familiarity with cloud environments such as Google Cloud Platform (GCP) or Microsoft Azure, along with the ability and willingness to expand technical expertise as needed.

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Strong ownership and leadership skills, with the ability to take initiative, navigate ambiguity, establish clarity, and move projects forward independently.

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Excellent communication and collaboration skills, including the ability to explain technical trade-offs, justify architectural decisions, and work effectively with product managers and senior stakeholders.

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A business-oriented mindset, with the ability to look beyond task specifications and prioritize solutions that address genuine customer and business needs.

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Curiosity, creativity, and a proactive approach to learning new technologies, exploring unconventional solutions, and bringing ideas into production.

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A collaborative attitude and commitment to building high-quality software as part of a team.

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Professional English proficiency at B2 level or higher.

Preferred qualifications:

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Strong production experience with Node.js and TypeScript.

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Experience building retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, vector search, and retrieval quality optimization.

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Familiarity with formal LLM evaluation frameworks, including evaluation datasets, prompt regression testing, and automated quality metrics.

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Experience with multi-tenant SaaS platforms or complex third-party API integrations involving webhooks, idempotency, and rate limits.

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Experience with Angular 17+ or other modern frontend frameworks, and an interest in contributing beyond backend engineering.

Benefits

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Salary and compensation details are not specified in the provided job description.

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Opportunities to take ownership of significant AI engineering initiatives from concept through production.

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A senior individual contributor position with technical leadership, architectural decision-making, and mentoring responsibilities.

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Opportunities to experiment with emerging AI models, tools, and engineering approaches and bring successful innovations into production.

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Close collaboration with Product and Engineering teams to influence technical direction and deliver customer-focused solutions.

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A technically challenging environment focused on applied AI, backend systems, and continuous innovation. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1