Senior Golang Backend Engineer (AI/LLM)

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Senior Golang Backend Engineer (AI/LLM)

100% remote from Poland

B2B

Responsibilities:

• Design, build, and run scalable, low-latency backend services powering AI products

• Lead development of voice-enabled AI applications and LLM-backed features

• Apply advanced prompt engineering; manage context windows; ensure consistent model outputs

• Implement model integration patterns (connecting external/internal services, tools, and agents)

• Define and uphold observability for AI workloads (latency, cost, token usage, reliability)

• Collaborate with ML/Data Science to productionize prototypes into high-availability services

• Contribute to code reviews, architecture decisions, and technical strategy

Requirements:

• Proven hands-on experience with Golang as the primary backend language in production environments

• Experience with cloud-native and containerized environments, including Kubernetes, Docker, and Infrastructure as Code (Terraform)

• Proven hands-on experience with integrating AI/ML and LLM models into production backend systems

• Knowledge of LLM fundamentals, including prompt engineering, context-window management, RAG, and model orchestration

• Experience with building backends for agentic workflows and long-running conversational states

• Proven hands-on experience with MCP (Model Context Protocol), including developing and managing MCP servers

• Familiarity with Agent-to-Agent (A2A) communication patterns and multi-agent system design

• Experience with observability for AI-driven applications, including latency, cost, and token-usage metrics, with an SLO-oriented engineering mindset

• Very good command of English, both spoken and written

Nice to have:

• Experience with Java or Kotlin in polyglot backend environments

• Experience with MongoDB or similar NoSQL databases

• Familiarity with LLM toolchains, function calling mechanisms, and retrieval pipelines

• Experience with voice-enabled AI applications, including low-latency streaming solutions

• Experience with system- and UI-level test automation (e.g., Playwright)

• Exposure to modern frontend stacks such as React and TypeScript to support end-to-end collaboration

Offer:

• Private medical care

• Co-financing for the sports card

• Constant support of dedicated consultant

• Employee referral program