Company: Improving
Country: Worldwide
Salary: $45,600 - $60,000
Type: Remote
Employment: Full-time
Description: Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes.
• Consultant or Senior-level experience (L5+ preferred) Are you a Python engineer who wants to build AI systems that actually make it to production? We’re looking for an AI Backend Engineer to join a fast-moving AI engagement focused on multi-agent conversational systems, AI assistants, and next-generation enterprise solutions. This is not a lab exercise or a POC sitting on a shelf. You'll be working on production AI systems where requirements evolve, problems are complex, and engineers are expected to think, challenge assumptions, and help shape the solution. • Python — production-level backend development, orchestration, and business logic • AWS experience with services such as Bedrock, Lambda, Textract, or Comprehend
• Strong ability to work with ambiguity and incomplete requirements
• A consulting mindset: you don't just wait for tickets — you help define the solution
• Strong communication skills and confidence working directly with stakeholders
• Advanced spoken and written English
• Availability for meaningful overlap with US Eastern Time
• Multi-agent AI — hands-on experience with Pydantic AI, LangChain, CrewAI, or similar frameworks
• RAG — retrieval pipelines, embeddings, vector search, chunking, and ideally code-aware retrieval
• Azure — Azure SQL, Cosmos DB, and Azure-hosted compute
• APIs — integrating AI backends with .NET/React applications
• AI observability — Pydantic Logfire or similar tools for tracing and monitoring agent behavior
• AI-assisted development — experience with Cursor or similar tools
• Static analysis / codebase parsing — a strong plus for AI systems that reason over large codebases
Nice to have:
• Manufacturing, construction, ERP, or other complex enterprise-domain experience
• Experience building AI products in customer-facing environments
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