Prompt Engineering Architect

Bright Vision Technologies is seeking a Prompt Engineering Architect to lead the strategy, design, and implementation of prompt and agent architectures for LLM-based applications, leveraging deep expertise in modern LLMs and responsible AI principles.

Location: Remote (US)

Salary: $100k to $150k per annum

Responsibilities

• Define organization-wide standards, patterns, and reference architectures for LLM-based applications.
• Design prompt structures, instruction templates, and retrieval strategies for diverse production use cases.
• Architect agentic systems incorporating tool use, planning, memory, and multi-step reasoning.
• Lead the design of retrieval-augmented generation pipelines including chunking, indexing, and reranking strategies.
• Develop evaluation frameworks for prompt quality, agent reliability, and end-to-end task success.
• Build internal tooling and libraries that accelerate LLM application development across teams.
• Establish guardrails, safety filters, and policy enforcement patterns for LLM-powered products.
• Collaborate with model engineering teams on prompt-model co-design and fine-tuning opportunities.
• Conduct technical reviews of LLM application designs across multiple product teams.
• Mentor engineers and applied scientists on prompt engineering and LLM application architecture.
• Lead red-teaming exercises and continuously improve robustness against adversarial inputs.
• Track latency, cost, and quality trade-offs in LLM application design and recommend optimizations.
• Document patterns, anti-patterns, and lessons learned for broad internal reuse.
• Stay current with LLM capabilities, tooling, and research, and translate advances into practical guidance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.
• Six or more years of software engineering experience, with significant time on LLM-based applications.
• Demonstrated experience shipping LLM-powered products to production.
• Deep familiarity with modern LLM APIs and agent frameworks.
• Strong understanding of retrieval-augmented generation, embeddings, and vector databases.
• Experience designing evaluation pipelines for non-deterministic systems.
• Strong Python skills and comfort with modern application frameworks.
• Solid grasp of responsible AI principles, including safety and policy considerations.
• Excellent written and verbal communication skills.
• Track record of mentoring engineers and influencing technical direction.

Benefits

• Competitive base salary commensurate with experience, plus benefits.

Additional Information

• Candidates should be confident in their technical abilities and hands-on experience.