LLM Engineer A6282

4 Days ago • 7-8 Years
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About the job

SummaryBy Outscal

This LLM Engineer role at Nisum requires 7-8 years of experience with Google's frontier models (Gemini/PaLM2), Python/TypeScript for building use cases and models, Google Contact Center AI Platform and Dialogflow. Strong communication skills are a must.
Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto “Building Success Together®,” Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.

What You’ll Do

    • Proficient in various frontier models by Google (Gemini and / or PalM2)
    • Comfortable with Python/TypeScript to build various use cases and models
    • Desired knowledge of Google Contact Center AI Platform and Dialogflow
    • Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Who you are

    • A minimum of 7 to 8 years of proven professional experience is required.
    • Hands on Experience with various design patterns with LLMs, e.g., Zero-shot prompting, Fine-tuning, RAG using Embeddings/other data systems
    • Experience with Lang Chain framework.
    • Hands on experience of Google VertexAI Workbench, GKE, Google Dataflow, Google Cloud Composer, Big Query and Vector Store.
Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.

About The Company

Telangana, India (Hybrid)

United States (Remote)

United States (Remote)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

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