Software Engineer (Applied AI)

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Socket.dev is seeking a Staff level Software Engineer to accelerate our manufacturing systems and operations with the latest LLMs and custom fine-tuned models. You will move fast from whiteboard concepts to production-grade solutions, collaborating across teams to build impact-ready systems.

You will prototype, scale, and ship end-to-end backend services and APIs, leveraging Go, Python, or Java, and integrating with OpenAI, Anthropic, Gemini, and related platforms.

Qualifications

• 10+ years in a senior role across the full tech stack.
• Expert in backend services and HTTP APIs.
• Experience integrating with APIs from modern LLMs (OpenAI, Anthropic, Gemini, etc.).
• Prototyping to production and scaling across orgs.
• Strong cross-functional collaboration and delivery mindset.

Skills

HTTP APIs

Backend services

Go

Python

Java

Model integration

Tools

PostgreSQL

Snowflake

ETL pipelines

Job description

We are looking for a Staff level Software Engineer with experience working with the latest LLM’s from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. This role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production, but have a significant impact. Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here.

MINIMUM QUALIFICATIONS

10+ years in a senior role working across the entire tech stack with a skilled team. 10+ years building robust HTTP APIs and backend services Expert level grasp of at least 1 modern programming language: Go (preferred), Python, Java, etc. Experience building solutions that leverage API’s from the latest LLMs.

PREFERRED QUALIFICATIONS

Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy Experience building robust evaluations for prompt optimization and tuning ML workflows Experience with RAG and modern model in context learning techniques Experience with SQL and database systems such as PostgreSQL Experience with building ETL pipeline in data warehouse such as Snowflake Manufacturing experience or exposure is a plus, but not required.