Generative AI Specialist
New
B
Bright Vision TechnologiesTechnology Consulting
100% Remote (U.S.)Full-TimeSenior
Salary100,000 - 150,000 USD per year
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSoftware ArchitecturePrompt EngineeringLLM
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.
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.
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