AI Engineering Consultant/Architect

Overview

In Cognita Reply you will design and deliver end-to-end AI solutions for clients, focusing on applied AI, agentic systems, and early product development using OpenAI tech. You work closely with clients and internal teams to take ideas from concept to production, balancing performance and cost in cloud environments. This hands-on role blends software engineering with client-facing leadership to shape practical, business-aligned GenAI solutions. A clear hook is the focus on turning pilots into scalable production systems.

Responsibilities

• Design and build AI applications using OpenAI and related technologies
• Develop production-ready systems across APIs, backend services, and user-facing applications
• Deliver GenAI solutions including RAG pipelines, tool use, and evaluation frameworks
• Contribute across the full solution lifecycle: design, build, testing, deployment, and iteration
• Support development of agentic systems (multi-agent workflows, orchestration, human-in-the-loop)
• Optimize performance, cost, and maintainability in cloud environments (AWS/Azure)
• Work closely with clients to shape practical, business-aligned solutions
• Communicate technical decisions clearly to technical and non-technical stakeholders

Key requirements

• Strong hands-on software engineering experience, particularly Python and backend/API development
• Production-ready systems and practical delivery of LLM/GenAI applications (RAG, tool use, structured outputs, evaluation)
• Ability to work across the full delivery lifecycle
• Cloud experience in AWS or Azure
• Strong engineering practices (testing, CI/CD, version control, secure development)
• Comfortable in client-facing environments, translating business needs into solutions
• Experience with OpenAI or similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows)
• Experience with vector databases and familiarity with PyTorch or TensorFlow
• 0–1 product development experience

• Client-facing communication
• clear technical storytelling
• cross-functional collaboration
• Python
• backend/API development
• OpenAI platforms

…