Senior AI Engineer
: Job Details :


Senior AI Engineer

nSky Solutions

Location: Hayward,CA, USA

Date: 2025-01-06T04:10:28Z

Job Description:

Our client is a a fast-growing, AI-first platform revolutionizing B2B sales by helping sellers focus on what truly matters—building relationships and closing deals. Backed by leading Silicon Valley investors, they've achieved 20x growth, a $1.2M ARR, and a 99%+ customer retention rate.

The Opportunity: Senior AI Engineer

As a Senior AI Engineer, you'll design and implement sophisticated retrieval-augmented generation (RAG) systems to power an intuitive sales co-pilot that feels like a seasoned mentor to every seller. You'll lead the integration of cutting-edge AI technologies, rapidly prototype new capabilities, and continuously improve the system based on user feedback.

Responsibilities

  • Architect and implement end-to-end RAG systems to power our deals knowledge database and co-pilot features.
  • Build and optimize retrieval systems that surface relevant sales information in near real-time.
  • Design autonomous systems that orchestrate multi-tool workflows and support advanced decision-making.
  • Develop robust evaluation frameworks to monitor and improve AI system performance.
  • Collaborate with cross-functional teams to design AI-driven features that solve real sales pain points.
  • Optimize vector databases and embedding systems for efficient information retrieval.
  • Ensure high-quality deployment strategies and monitoring systems for reliability and performance.

Qualifications

  • 5+ years of software engineering experience, including 2+ years focused on RAG and AI systems.
  • Hands-on experience in NLP techniques, particularly in building and optimizing textual search or information retrieval systems.
  • Proven experience architecting end-to-end AI systems integrating components like LLMs and hybrid search indexes.
  • Expertise in Python, vector databases (e.g., Pinecone, Weaviate), and modern AI/ML infrastructure.
  • Strong background in retrieval systems, prompt engineering, and performance optimization.
  • Advanced degree (MS/PhD) in Computer Science or related fields is highly preferred.
  • Proven success in delivering complex backend systems or features as an individual contributor.
  • Familiarity with fine-tuning language models and experience with scalable cloud AI service deployment.

If you're excited about pushing boundaries in AI and building transformative solutions for the sales world, we'd love to hear from you!

Apply Now!

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