Sr. Software Engineer

1 week ago

San Francisco, United States Aircover Inc. Full time

At Aircover we’re building immersive, conversational intelligence which integrates seamlessly with Zoom, Microsoft Teams, and other meeting platforms. We believe go-to-market teams need to be empowered with real-time data to have more effective conversations. Through AI, sellers have access to the latest product and market information during their virtual customer meetings.

We’re building out our technical team. This is a great opportunity to create our early product, ship software, and delight customers. We’re well capitalized and growing quickly.

The Role

Join our technical team. You’ll help build out new services, refine and improve scalable solutions, and contribute to our technical processes and standards. You’ll work with our technical founding team every day building great tech to help our customers succeed every time.

Help build out our real-time LLM solutions.

Have a great idea for a different technology? Perfect. We’re about products, not theology.

Backend Tech Stack: Golang, Serverless

Location: SF Bay Area (Remote in US is OK).

You
  • —Confidence in building new products. You pick up on things quickly and get stuff done.
  • —Experience mentoring others. Teaching is the best way to really learn anything.
  • —Excellent verbal and written communication skills.
  • —Passion for learning new things.
Your Expertise
  • Proven Experience with Language Models and NLP Techniques: Applicants must demonstrate experience working with large language models (such as Llama 2, Mistral, or similar architectures), including fine-tuning, and deploying models for various applications. Expertise in NLP techniques for text analysis, generation, and understanding is required.
  • Experience with Vector Databases: Candidates must have experience with vector databases such as Pinecone, or PGVector, and possess familiarity with techniques for efficient vector search and similarity scoring. Knowledge of integrating these databases into applications in semantic search, recommendation systems, or content discovery using embeddings from language models is required.
  • Strong Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with software development best practices, including version control (Git), code review, and CI/CD pipelines, is also necessary.
  • Data Handling and Model Optimization: Experience in handling large datasets, preprocessing data, feature engineering, and optimizing models for performance and efficiency. Knowledge of parallel computing, GPUs, and cloud services (AWS, Google Cloud, Azure) for scalable model training and deployment is a plus.
  • Collaboration and Problem-Solving Skills: Ability to work effectively in a team, collaborating with data scientists, software engineers, and product managers to integrate LLMs into products and services. Strong analytical and problem-solving skills, with the capability to tackle complex challenges and drive innovation in LLM technology.
Make every sales call count with a real-time AI copilot #J-18808-Ljbffr

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