Overview

We are looking for a Senior Software Engineer to join a team building a comprehensive platform designed to evaluate Large Language Model performance and provide inference endpoints for Generative AI applications at enterprise scale.
The platform enables stakeholders to systematically assess, compare, and select the most suitable LLMs for use cases, including natural language processing, customer service automation, content generation, and data analysis. It routes, secures, and governs LLM inference across multiple model providers.
In this role, you will design and build scalable, production-ready backend systems using Go in a microservices architecture. You will own critical backend services, integrate with external LLM providers, and ensure reliability, performance, and security at scale. The project is in its initial strategic phase — defining personas, mapping user journeys, designing UX, and establishing a development roadmap with epics and user stories to guide future investment.
This is a high-impact engineering role requiring independent execution, technical leadership, and cross-functional collaboration in ambiguous problem spaces.

Responsibilities:
  • Design and implement production-grade backend features using Go in a microservices-style architecture
  • Build and maintain provider integration frameworks for external LLM vendors (OpenAI, Anthropic, cloud AI services)
  • Own backend service quality through robust unit and integration testing; continuously improve CI/CD quality gates
  • Improve data access reliability and performance across PostgreSQL and Redis
  • Collaborate cross-functionally on architecture, scalability, security, and operational excellence
  • Lead technical design discussions and deliver solutions independently end-to-end
  • Work with product teams on API requirements, troubleshoot issues, and identify new requirements
  • Contribute to platform roadmap through technical input on feasibility, trade-offs, and system design
Required Qualifications:
  • 7+ years of professional software engineering experience with strong backend ownership
  • Deep expertise in Go, including idiomatic design, interfaces, concurrency, context management, and error handling
  • Hands-on experience building HTTP APIs, middleware, and service-oriented architectures
  • Strong experience with PostgreSQL — schema design, query optimization, and database migration workflows
  • Practical experience with Redis — caching strategies, counters, and distributed rate-limiting patterns
  • Experience designing or working with authorization and policy systems (RBAC/ABAC concepts)
  • Strong testing discipline in Go (table-driven tests, mocks, integration tests, and test containers)
  • Experience operating production systems with observability tooling (OpenTelemetry metrics and tracing, dashboards, and alerting)
  • Solid experience with Kubernetes and Helm deployments
  • Strong CI/CD experience (GitHub Actions or equivalent)
  • Demonstrated ability to lead technical design and execute independently
  • Familiarity with GenAI concepts and OpenAI APIs, with a drive for self-learning
  • Familiarity with AI-assisted development while maintaining strong quality and architectural standards
  • Good communication and collaboration skills
  • B2+ English level (written and verbal)
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Experience building LLM gateways, API gateways, or multi-provider AI/ML integration platforms
  • Experience with gRPC, cloud SDKs, or service integrations on AWS, Azure, or GCP
  • Familiarity with API platform security controls — API keys, OIDC, secrets management, and abuse prevention
  • Exposure to cost and performance optimization for high-volume inference or request-processing workloads
  • Experience contributing to platform roadmap planning (epics, user stories, backlog prioritization)
  • Background working with UX/product teams during early-stage platform definition
  • Go Language
  • Large Language Models (LLM)
Note:

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