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Specialist - Software Engineering (Senior GoLang AI Engineer)

LTM

RemoteFull timeMid levelPosted today
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About the role

Role Description Job Title -Senior GoLang AI Engineer

Location- Poland Hybrid

Experience: 6-7 Years

Employment Type Full Time

Job Summary We are looking for a Senior GoLang AI Engineer with 6-7 years 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 Bachelors or Masters degree in Computer Science Software Engineering or related discipline

Experience delivering enterprise AI platforms and intelligent automation solutions

Exposure to MLOps model deployment and AI governance frameworks

Experience working with multinational teams across Europe and North America

Financial Services Banking Telecom or Enterprise Product Development experience preferred

Nice to Have

LangGraph CrewAI AutoGen Google ADK

vLLM Ollama Model Optimization

Databricks Snowflake Spark

Knowledge Graphs and Semantic Search

GitOps and Kubernetes Operator Development

Agentic AI and MultiAgent Systems

Key Competencies

Strong analytical and problemsolving skills

Excellent communication and clientfacing abilities

Ability to work independently in a distributed European team

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

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