Senior Go AI Engineer

Primusglobal — Poland · Posted ~2 hours ago

Senior

Skills

Golang Backend development Cloud-native applications Generative AI LLMs RAG Microservices Distributed systems Kafka NATS LLM LangChain LlamaIndex Pinecone Milvus Qdrant FAISS AWS Azure GCP Docker Kubernetes Terraform CI/CD

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Summary ✨ AI‑Generated

Build scalable enterprise applications and AI-powered backend systems as a Senior Go AI Engineer. You will design microservices and distributed systems, develop LLM, RAG, vector-search and agentic solutions, integrate leading AI models, and deploy cloud-native workloads with modern infrastructure and observability practices.

Highlights

Advanced AI and backend engineering role combining Go, cloud-native architecture, LLMs, RAG, AI agents, event-driven systems, and modern DevOps practices, with opportunities to mentor junior engineers.

Description

Role Overview We are looking for a Senior GoLang AI Engineer with strong experience in Golang backend development, cloud-native applications, and Generative AI. The ideal candidate will build scalable enterprise applications, microservices, and AI-powered solutions using LLMs, RAG, and Agentic AI technologies. Key Responsibilities Design and develop scalable backend services, APIs, microservices, and distributed systems using Golang.Build event-driven applications using Kafka, NATS, or similar technologies.Develop AI/GenAI solutions using LLMs, RAG, vector search, and AI agents.Integrate applications with OpenAI, Azure OpenAI, Claude, Gemini, or Hugging Face.Work with LangChain, LlamaIndex, and vector databases such as Pinecone, Milvus, Qdrant, or FAISS.Deploy cloud-native applications using AWS/Azure/GCP, Docker, and Kubernetes.Implement Terraform, CI/CD, DevSecOps, monitoring, and observability.Collaborate with architects, product teams, and AI/ML engineers and mentor junior developers. Required Skills 6–7 years of software engineering experience3+ years hands-on Golang development2+ years AI/GenAI developmentPython for AI integrations/automationREST APIs, gRPC, Microservices, Distributed SystemsSQL/NoSQL: PostgreSQL, MongoDB, RedisLLM, RAG, Prompt Engineering, Agentic AILangChain / LlamaIndexVector DatabasesAWS/Azure/GCP, Docker, Kubernetes, TerraformKafka / PubSub and Event-Driven ArchitectureGit & CI/CDPrometheus, Grafana, OpenTelemetryOAuth2, JWT, OpenID Connect and secure API design Nice to Have LangGraph, CrewAI, AutoGen, Google ADKvLLM / Ollama / LLM optimizationDatabricks, Snowflake, SparkKnowledge Graphs / Semantic SearchGitOps and Kubernetes Operator developmentMLOps and AI Governance Preferred Domain Financial Services, Banking, Telecom, or Enterprise Product Development. Key Skills: Golang | GenAI | LLM | RAG | Agentic AI | Microservices | Kubernetes | AWS/Azure/GCP | Kafka | LangChain | Vector Databases