AI Engineer

Worldwide | Sept. 1, 2026

Report as Closed

Company: Improving

Country: Worldwide

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.

• +6 years of experience in software development, machine learning, or artificial intelligence.
• +2 years developing solutions with LLMs in production.
• Intermediate/advanced English (B2/C1) required.
• Advanced proficiency in Python.
• Experience working with OpenAI, Anthropic, Gemini, or other generative models.
• Experience implementing RAG (Retrieval-Augmented Generation).
• Knowledge of embeddings, vector databases, and semantic search.
• Experience developing AI agents and orchestration using modern frameworks (LangChain, LangGraph, LlamaIndex, or similar).
• Experience integrating models via APIs.
• Experience building solutions on AWS.
• Knowledge of AI model evaluation, observability, and optimization.

We are looking for a Senior AI Engineer to design, develop, and implement Artificial Intelligence solutions using Large Language Models (LLMs), agent-based architectures, and cloud services on AWS.

This is a hands-on role for professionals who enjoy building AI products that go into production, solving real-world challenges related to scalability, integration, and quality.

What You’ll Do:

• Design and implement LLM-based applications.
• Develop end-to-end RAG pipelines.
• Build AI agents and intelligent workflows.
• Integrate models using APIs and cloud services.
• Design pipelines for embeddings, semantic search, and context retrieval.
• Evaluate, monitor, and optimize the performance of AI models.
• Collaborate on architecture decisions and engineering best practices.
• Develop scalable, production-ready solutions on AWS.

• Long-term contract.
• 100% remote.
• Vacation and PTO.
• Opportunity to receive 2 bonuses per year.
• 2 salary reviews per year.
• English classes.
• Apple equipment.
• Online course platform.
• Budget for purchasing books.
• Budget for purchasing work materials.
• Much more...

• Experience with Model Context Protocol (MCP).
• Multi-Agent Systems.
• Model fine-tuning or adaptation.
• Inference optimization (batching, caching, latency and cost reduction).
• CI/CD for AI applications.
• Docker, Kubernetes, or Terraform.
• Experience developing AI products for end users.

Apply here:

Web: Apply here

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