Senior Software Engineer (Python + AI)

TL;DR

Senior Software Engineer (Python + AI): Designing, developing, and optimizing scalable Python applications and integrating multi-modal GenAI models for enterprise technology and AI-driven tools with an accent on FastAPI, asynchronous programming, and RAG pipelines. Focus on providing technical leadership, conducting code reviews, and coordinating day-to-day operations within a dynamic team.

Location: Remote from Armenia, Bulgaria, Georgia, Hungary, Lithuania, Poland, Portugal, Romania, or Uzbekistan

Company

hirify.global is an AI-first global tech company with 25+ years of engineering leadership, partnering with Fortune 500 clients like HBO, Microsoft, Google, and Starbucks to build innovative enterprise technology and AI platforms.

What you will do

• Provide requirements analysis, system design, Python and AI development, troubleshooting, and technical support.
• Design, develop, and maintain scalable Python applications using FastAPI and Pydantic.
• Implement asynchronous and parallel programming solutions with asyncio.
• Integrate and experiment with multi-modal GenAI models (text-to-image, text-to-audio, etc.).
• Conduct thorough code reviews and provide clear instructions and coordination for the team.
• Communicate regularly with the client and provide technical leadership, mentoring, and coaching.

Requirements

• 5+ years of background in development.
• Strong background in Python and FastAPI.
• Experience with Pydantic for data validation and schema definition.
• Hands-on experience with asyncio, asynchronous/parallel programming.
• Experience with Generative AI and Large Language Models (LLMs) and developing agentic AI applications.
• Understanding of RAG pipelines and hybrid search with vector databases.
• Strong analytical, problem-solving, organizational, and communication skills.
• English level: Intermediate+.

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms).
• Familiarity with agentic protocols such as MCP and A2A.
• Hands-on experience with the LangGraph stack, including long-term memory.
• Familiarity with .NET.
• Hands-on experience with containerization tools like Docker and Kubernetes.
• Solid understanding of microservices architecture.

Culture & Benefits

• Flexibility for in-office, hybrid, or remote work.
• International projects.
• Medical healthcare.
• Ongoing learning & reimbursement.
• Well-being program and team events.
• Sports compensation.
• Referral bonuses and top-tier equipment provision.
• Culture of trust, respect, open dialogue, creative freedom, and mentorship.