📋 Description

• Analyze clients’ business needs and translate them into concrete, deployable AI solutions.
• Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation
• Integrate these solutions into clients’ existing environments (APIs, databases, business tools).
• Support teams in adopting the deployed tools through evangelization, training, and continuous
• Iterate quickly with stakeholders to refine solutions in production and maximize their impact.
• Act as the bridge between technical teams and business decision-makers, translating complexity into

🎯 Requirements

• Hold an engineering degree or equivalent high-level training in computer science, information
• Hands-on experience with LLMs in production: advanced prompting, RAG, fine-tuning, agent
• Proficient in Python and applied AI frameworks (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK
• Comfortable with API integration and connecting heterogeneous systems.
• Can deploy and operate solutions in a cloud environment (AWS, Azure, or GCP).
• Strong sense of client context — identifying what’s truly useful, prioritizing, and delivering

🎁 Benefits

• Base Salary: $117,000-132,000
• Annual Performance Bonus
• Medical, dental, and vision insurance
• Company-paid life and AD&D insurance
• Voluntary supplemental insurance and EAP
• 401(k) with company match and immediate vesting