Senior Python Engineer with AI Exposure (AI)

Location: Armenia, Bulgaria, Cyprus, Georgia, Latvia, Poland, Romania, or Serbia. Remote, hybrid, and office work formats are available.

Company

hirify.global is a global software engineering company building data, analytics, and AI solutions for clients across multiple industries.

What you will do

• Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines.
• Develop scalable Python AI services and microservices using REST APIs and cloud-native technologies.
• Build data pipelines for training, validation, and inference across structured and unstructured datasets.
• Implement CI/CD, MLOps, model lifecycle management, logging, observability, monitoring, and retraining workflows.
• Integrate AI systems with enterprise applications, APIs, vector databases, and cloud platforms.
• Collaborate with engineering, product, domain, and business teams through technical solution design, proofs of concept, and demonstrations.

Requirements

• Strong Python proficiency, including NumPy, Pandas, PyTorch, TensorFlow, and Transformers.
• Hands-on experience with LLMs such as OpenAI, Azure OpenAI, Anthropic, and Llama.
• Experience with agentic AI platforms or frameworks, including AWS Bedrock, Google Vertex AI, Azure AI Foundry, LangChain, LangGraph, CrewAI, AutoGen, or the OpenAI Agents SDK.
• Knowledge of machine learning, NLP, deep learning, vector embeddings, and vector databases.
• Experience with Azure, AWS, or GCP, including serverless computing services, and familiarity with MLOps tools such as MLflow, Kubeflow, Azure Machine Learning, Amazon SageMaker, or Databricks.
• Knowledge of Docker and Kubernetes.

Culture & Benefits

• Flexible choice of remote, hybrid, or office work formats.
• Vacation and state holidays according to the official calendar and local laws.
• Health insurance and sick pay, including up to 10 days without a doctor's note.
• Coverage of IT certification costs and access to professional courses, mentoring, and learning platforms.
• Supportive environment with corporate events, technical assistance, mental health programs, and flexible benefits that vary by region and contract type.

Hiring process

• CV review followed by an HR interview.
• Communication and technical assessments covering English and relevant technologies.
• Project-team discussion and, where applicable, client interviews.