GoLang AI Engineer

Thrive IT Systems; Województwo mazowieckie; On-site; PLN 240,000 - 420,000; Full time

Job summary

Thrive IT Systems seeks a Senior GoLang AI Engineer to design, build, and scale enterprise backend systems and generative AI-powered applications. You will lead LLM integration, RAG architectures, and agentic workflows within cloud-native microservices across international teams.

You will drive GoLang-based distributed systems, AI integration, and DevOps practices, mentoring engineers and collaborating with product managers, data scientists, and stakeholders.

Qualifications

• Experience building GoLang microservices and distributed systems.
• Hands-on with LLM integration, RAG, and AI agents.
• Proficient in SQL/NoSQL databases and messaging systems.

Responsibilities

• Design, build, and scale high-performance Go microservices.
• Integrate LLMs, RAG, and AI agents into applications.
• Deploy cloud-native services on AWS/Azure/GCP with Docker/Kubernetes.
• Lead reviews and mentor junior engineers.

Skills

GoLang

Python

Microservices

PostgreSQL

MongoDB

Redis

Kafka

NATS

PubSub

RESTgRPC

Education

Bachelor's or Master's in Computer Science

Tools

Docker

Kubernetes

Terraform

CI/CD

Prometheus

Grafana

OAuth2

JWT

Job description

Role Overview:

We are seeking a Senior GoLang AI Engineer to design, build, and scale enterprise backend systems and generative AI-powered applications. In this role, you will lead the integration of LLMs, RAG architectures, and agentic workflows into cloud-native microservices while promoting engineering best practices across distributed international teams.

Core Responsibilities

• GoLang & Distributed Systems: Design, build, and optimize high-performance microservices, event-driven architectures, RESTful APIs, and gRPC services.
• AI & GenAI Integration: Operationalize LLM-driven applications, RAG solutions, and agentic workflows by integrating models (OpenAI, Claude, Gemini, Hugging Face) and vector databases.
• Cloud-Native & DevOps: Deploy scalable applications using Docker, Kubernetes, Terraform, and automated CI/CD pipelines across major cloud platforms (AWS, Azure, GCP).
• Technical Leadership & Collaboration: Participate in architecture reviews, mentor junior engineers, and partner with product managers, data scientists, and business stakeholders.

Candidate Profile & Skillset

• Backend & Systems: Strong expertise in GoLang (3+ yrs), Python, microservices design, SQL/NoSQL (PostgreSQL, MongoDB, Redis), and messaging platforms (Kafka, NATS, PubSub).
• AI & Machine Learning: Hands-on experience with LLM integration, RAG, prompt engineering, AI agents, frameworks (LangChain, LlamaIndex), and vector databases (Pinecone, Milvus, Qdrant, FAISS).
• Infrastructure & Security: Proficiency with Docker, Kubernetes, Terraform, CI/CD, monitoring tools (Prometheus, Grafana), and secure API standards (OAuth2, JWT, DevSecOps).
• Experience Level: 6–7 years of total software engineering experience (including 3+ years in GoLang and 2+ years in GenAI solutions).
• Domain & Competencies (Preferred): Bachelor's/Master's in Computer Science (or equivalent); experience in Financial Services, Banking, Telecom, or Enterprise SaaS; exposure to MLOps, multi-agent frameworks (LangGraph, CrewAI), and distributed European/North American cross-functional teams.