Generative AI Specialist
Role details
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Job description
This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099. All our roles are W2. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience., * 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., Role Overview As a Finance Specialist, you will leverage your financial expertise to contribute to the training of next-generation AI systems. Your insights will play a crucial rol…
- 20 days ago
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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.
Preferred Qualifications
- Public writing, talks, or open-source contributions on LLM application development.
- Experience with multi-agent architectures and complex tool-use systems.
- Familiarity with fine-tuning workflows and when to choose them over prompting.
- Exposure to product domains such as customer support, coding assistants, or analytics agents.
- Experience integrating LLMs into enterprise software systems with strict compliance requirements.