Solutions Architect​/Prompt Engineer

Company: Markitech
Type: Full-Time

About the Role:

Markitech is looking for a hands-on Solutions Architect / Prompt Engineer to join our growing AI team. In this role, you will design intelligent AI-driven solutions and use agentic AI coding platforms — such as Cursor, Claude Code, and OpenAI Codex — to generate, scaffold, and ship production-quality code. You understand how to get the most out of these tools because you have real development experience and know what good code looks like.

This is not a theoretical role: you own architecture decisions and end-to-end delivery.

What You'll Do:

• Use AI-powered coding platforms (Cursor, Claude Code, Git Hub Copilot, OpenAI Codex, and similar) to rapidly design, generate, and iterate on software solutions.
• Architect agentic AI workflows and multi-step pipelines, then drive them to working implementations using AI-assisted development tools.
• Engineer, optimize, and evaluate prompts — including system prompts, chain-of-thought strategies, tool/function calling, and structured outputs — to get reliable, high-quality results from LLMs.
• Review and own AI-generated code: validate correctness, refactor for production standards, and debug when things go wrong.
• Translate business and client requirements into clear technical architectures and implementation plans.
• Collaborate with stakeholders to scope AI solutions and communicate tradeoffs in plain language.
• Build evaluation frameworks and testing strategies to ensure AI outputs are reliable and safe.
• Stay ahead of the curve on emerging AI coding tools and bring best practices into the team.

What We're Looking For:

• 3+ years of software development experience — you must be able to write, read, debug, and review code independently (Python strongly preferred; JavaScript/TypeScript a plus).
• Hands-on experience with AI-assisted coding platforms such as Cursor, Claude Code, OpenAI Codex, Git Hub Copilot, or equivalent.
• Strong prompt engineering skills: you know how to craft prompts that produce consistent, production-ready outputs across code generation, reasoning, and agentic tasks.
• Ability to critically evaluate AI-generated code — catching errors, security issues, and suboptimal patterns before they reach production.
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, Gemini, etc.) and integrating them into real applications.
• Solid understanding of software architecture principles — APIs, microservices, data pipelines, and deployment patterns.
• Strong communication skills — able to present solutions and tradeoffs to both technical teams and non-technical stakeholders.

Nice to Have:

• Experience with agentic frameworks such as Lang Chain, Lang Graph, Auto Gen, or CrewAI.
• Familiarity with RAG patterns and vector databases (Pinecone, pgvector, Chroma, etc.).
• Cloud platform experience (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
• Background in a consulting or client-facing solutions role.
• Exposure to AI evaluation tooling (Lang Smith, Prompt Flow, RAGAS, etc.).

Why Markitech:

At Markitech, we're at the forefront of applying AI to solve real business problems. You'll work on diverse, high-impact projects with a team that values technical depth, curiosity, and continuous learning.