AI Native Software Engineer Consultant

Job Summary

This role involves designing, building, and deploying AI-native, agent-powered workflows for enterprise clients, focusing on scalable cloud-native AI solutions that move projects from experimentation to operational use.

Responsibilities

• Design and implement AI agents using techniques like RAG, orchestration, tool calling, and multi-agent workflows.
• Integrate AI platforms such as OpenAI, Claude, and Google with cloud-native technologies to create scalable AI systems.
• Manage AI solutions end-to-end including building, deploying, monitoring, and improving production-ready applications.
• Translate client needs into practical AI solutions across various industries.
• Collaborate directly with clients through workshops, proofs of concept, and technical discussions to develop AI solutions from concept to delivery.

Requirements

• Practical experience developing AI or agentic solutions including RAG, agents, orchestration, or workflow automation.
• Proficiency in Python, Java, or similar programming languages and cloud-native development.
• Familiarity with AI platforms such as OpenAI, Claude, Vertex AI, or open-source large language models.
• Experience working with APIs, microservices, Docker/Kubernetes, serverless architectures, or CI/CD pipelines.
• Strong communication skills and ability to engage confidently with clients and technical stakeholders.
• Degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Bonus: Experience with LangGraph, CrewAI, Claude/OpenAI SDKs, multi-agent systems, AI certifications, or public AI projects on GitHub.

What the company offers

• Travel requirements ranging from 25% to 75% depending on client and business needs.

We refresh listings regularly, but some roles close early on the source platform.