Prompt Engineers craft the instructions that make AI systems useful — designing system prompts, building RAG pipelines, evaluating model outputs, and optimizing for accuracy, safety, and cost. It's one of the fastest-growing roles in tech.
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TalentProof
TalentProof
TalentProof Demo is seeking an exceptional Senior Principal Lead Solutions Architect and Technical Program Manager to drive the design, development, and delivery of advanced AI/ML solutions across multiple business units. This pivotal role requires a deep technical background in AI/ML, strong architectural design skills, and proven experience in managing complex technical programs from inception to deployment. You will be responsible for bridging the gap between cutting-edge research, scalable engineering, and strategic business objectives.
Required Skills & Experience:
Preferred Qualifications:
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TalentProof
TalentProof
As a Business Development Representative (BDR) Intern, you will play a crucial role in the initial stages of our sales cycle, identifying and engaging with potential clients. This is an excellent opportunity for a highly motivated fresh graduate or current undergraduate student to gain hands-on experience in sales and business development within a dynamic environment. You will work closely with our experienced sales and marketing teams to learn the fundamentals of lead generation, outreach, and relationship building.
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Prompt Engineers design and optimize prompts for LLMs, build evaluation frameworks, construct RAG (Retrieval-Augmented Generation) pipelines, fine-tune models for specific use cases, and ensure AI outputs are accurate, safe, and cost-effective.
Absolutely. As companies integrate LLMs into products, demand for engineers who understand prompt design, model evaluation, and AI system architecture has grown significantly. The role is evolving from pure prompting into broader AI application engineering.
Strong writing and analytical skills, Python programming, understanding of LLM architectures (transformers, attention), RAG/vector database experience, prompt optimization techniques (few-shot, chain-of-thought), and evaluation methodology.
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