AI Engineer with GoLang

Key Responsibilities:

• Design, develop, and maintain scalable backend services in Golang, adhering to clean architecture principles and established team standards.
• Build and optimize infrastructure for embedding generation, vector search, vector database and LLM integration.
• Own the full-service lifecycle, including architecture, deployment, monitoring, testing, and scaling.
• Write comprehensive unit, integration, and end-to-end tests to ensure high reliability and minimize regressions, following rigorous testing practices.
• Collaborate closely with AI/ML engineers, Data Scientists, Architects and other team members, fostering a positive and productive team environment.
• Develop pipelines for model serving, versioning, and inference with a focus on latency and robustness.
• Monitor production systems, conduct root cause analysis, and proactively resolve issues.
• Actively participate in team discussions, code reviews, and knowledge sharing to uphold team standards and continuous improvement.

Minimum Qualifications:

• Bachelor's degree in Engineering, Computer Science, or a closely related technical discipline.
• Minimum 3+ years of experience developing backend services in Go (Golang).
• Proven experience deploying and operating production-grade services using Kubernetes, Docker, and CI/CD pipelines.
• Strong understanding of testing methodologies including Test-driven development, mocking, load testing, and coverage strategies.
• Experience working with embedding models, LLM APIs (e.g., Azure, OpenAI, HuggingFace), or custom AI services.
• Familiarity with vector databases such as pgvector, Pinecone, or Weaviate, and search APIs.
• Solid knowledge of RESTful API design and distributed systems.
• Demonstrated ability to work effectively as a team player, follow team standards, and maintain a test-oriented approach.