IA Engineer

Experience and Skills

• 4+ years of professional software engineering experience with a strong foundation in backend or full-stack development.
• C1 English level or higher.
• Solid programming skills in Python.
• Hands-on experience building AI/LLM applications using frameworks like LangChain, LlamaIndex, or CrewAI.
• Experience connecting and working with LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
• Proven experience developing APIs using FastAPI, Flask, or Django.
• Familiarity with cloud environments and containerization using Docker.
• Experience with Git and GitHub.

Skills

• Python
• LangChain
• LlamaIndex
• CrewAI
• FastAPI (o Flask / Django)
• OpenAI API / Anthropic API
• AWS Bedrock / Azure OpenAI
• Docker
• Git / GitHub
• FastAPI
• Flask
• Django
• OpenAI API
• Anthropic API
• AWS Bedrock
• Azure OpenAI
• Git
• GitHub
• APIs
• Backend Development
• Cloud Computing

Projects

This role is for a Senior AI Engineer who will bridge the gap between traditional software engineering and Artificial Intelligence. You will build, integrate, and deploy LLM-powered applications and smart workflows into production environments, moving applications from prototypes to reliable, scalable production systems. In this position, you will design AI-driven features and conversational interfaces while maintaining robust backend APIs. You will also monitor, debug, and optimize LLM calls to improve latency, cost, and response quality across the platform.

Key Responsibilities

• Design and develop AI-driven applications, features, and conversational interfaces.
• Integrate Large Language Models (LLMs) into core products using modern orchestration libraries.
• Build and maintain robust backend APIs and microservices to support AI functionalities.
• Collaborate with frontend and product teams to deliver smooth AI-powered user experiences.
• Monitor, debug, and optimize LLM calls to improve latency, cost, and response quality.

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Nice to Have

• Pinecone / ChromaDB / Qdrant / pgvector
• LangGraph / Pydantic AI
• GitHub Actions (CI/CD)
• Pinecone
• ChromaDB
• Qdrant
• pgvector
• LangGraph
• Pydantic AI
• GitHub Actions
• CI/CD
• Vector Databases