Senior Golang AI Engineer

Infinityquest — Poland · Posted ~3 hours ago

Senior

Skills

GoLang backend engineering cloud-native development distributed systems microservices REST APIs gRPC LLMs RAG frameworks Generative AI Go Kafka NATS REST RAG cloud platforms

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Summary ✨ AI‑Generated

A senior engineering role focused on designing scalable backend systems and intelligent AI-powered applications. The position requires strong programming expertise, distributed systems knowledge, and experience with modern cloud-native architectures and generative AI technologies.

Highlights

Opportunity to build scalable backend and AI solutions using modern cloud-native technologies, distributed architectures, and advanced artificial intelligence techniques.

Description

We are looking for a Senior GoLang AI Engineer with of experience in backend engineering cloudnative application development and Artificial Intelligence solutions The ideal candidate will have strong expertise in GoLang distributed systems microservices and experience building AIGenAIpowered applications leveraging LLMs RAG frameworks and cloud platforms The role involves designing scalable enterprise solutions developing intelligent applications and driving innovation across AI and cloudnative ecosystems Key Responsibilities GoLang Engineering Design develop and maintain scalable backend services and APIs using GoLang Build cloudnative microservices and distributed systems Develop eventdriven applications utilizing Kafka NATS or similar messaging platforms Optimize application performance reliability and scalability Implement RESTful APIs gRPC services and secure integrations AI Generative AI Development Design and implement AIpowered business applications Build GenAI RAG and Agentic AI solutions using modern AI frameworks Integrate enterprise applications with OpenAI Azure OpenAI Claude Gemini or Hugging Face models Develop vector search and semantic retrieval solutions using vector databases Collaborate with Data Scientists and ML Engineers to operationalize AI models Cloud Native DevOps Develop and deploy applications on AWS Azure or GCP Containerize applications using Docker and Kubernetes Implement InfrastructureasCode using Terraform Build and maintain CICD pipelines using GitHub Actions Jenkins or GitLab CI Apply DevSecOps and automated quality controls throughout the development lifecycle Architecture Collaboration Participate in architecture reviews and technical design discussions Mentor junior engineers and promote engineering best practices Work closely with product owners architects and business stakeholders Contribute to innovation initiatives involving AI and cloudnative technologies Required Skills Programming Backend GoLang 3 years handson experience Python for AI integrations and automation REST APIs gRPC SQL and NoSQL databases PostgreSQL MongoDB Redis Microservices Architecture AI GenAI LLM Integration OpenAI Azure OpenAI Claude Gemini LangChain LlamaIndex Retrieval Augmented Generation RAG Vector Databases Pinecone Milvus Qdrant FAISS Prompt Engineering AI Agents Agentic Workflows Cloud DevOps AWS Azure GCP Docker Kubernetes Terraform Git CICD Pipelines Monitoring using Prometheus Grafana OpenTelemetry Messaging Streaming Kafka PubSub EventDriven Architecture Distributed Systems Design Security OAuth2 JWT OpenID Connect Secure API Design DevSecOps Practices Preferred Qualifications Passion for AI innovation and cloudnative engineering Leadership and mentoring mindset Experience Requirement Snapshot 67 years of software engineering experience 3 years of GoLang development experience 2 years of AIGenAI solution development experience Handson experience with Kubernetes and cloud platforms Experience building enterprisescale productiongrade applications