AI/ML/LLM Proof of Concept Engineer

Job Overview

Join Cisco as an AI/ML/LLM Proof of Concept Engineer, where you will play a pivotal role in demonstrating the potential and practicality of our technologies in supporting LLM/GenAI workloads through successful execution of POC projects. This customer-facing role involves close collaboration with our field sellers, business units, and partners to translate customer requirements into effective solution demonstrations.

Responsibilities

Collaborate with multi-functional teams to understand customer requirements and challenges.
Design, develop, and demonstrate ML/LLM/Generative AI use cases that address specific customer needs for POC testing.
Prototype and test (train/finetune/inference) ML/LLM solutions in real-world scenarios to validate their effectiveness.
Prepare detailed POC documentation, including system design, testing protocols, and performance metrics.
Present POC results to customers and partners, highlighting the value and capabilities of the Cisco compute products.
Gather feedback from POC testing to iterate and improve the customer experience.
Stay up-to-date with the latest AI research, tools, and standard methodologies to ensure innovative POC development.
Provide technical expertise and support throughout the sales process.

Minimum Qualifications

Bachelor's in a STEM field with 4+ years of experience or Master’s with 2+ years of experience.
2+ years experience developing Machine Learning (ML), Large Language Models (LLM) and/or Gen AI solutions.
Experience with Python and AI/ML related frameworks such as TensorFlow, PyTorch or JAX.
Experience working with software development standard processes such as SDLC, version control (e.g., Git), testing methodologies, and/or code optimization techniques.
Experience with Linux operating system and associated development tools/utilities.

Preferred Qualifications

Experience building and presenting Proof-of-Concept (POC) demos.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Demonstrated coding expertise through published GitHub repositories and code examples.
Knowledge of data pre-processing, feature engineering, and model evaluation techniques.
Experience with NCCL (NVIDIA Collective Communication Library) for optimized distributed computing, HPC experience with MPI or Slurm.
Understanding of distributed training and inferencing techniques.
Basic understanding of networking concepts.

About Cisco

We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments.

Join us in delivering state-of-the-art AI applications that make a real difference for our customers.

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