Come meet me in San Fransisco and Tampa + Job Openings in my Network (NY and SF based AI Engineer)

Mar 07, 2025

Two quick updates-

Come meet me

I’m going to be traveling a bit, and would love to meet anyone in the following locations-

Tampa, Florida: I’m going to be here from the 12th to the 15th. I’ll have a very flexible calendar here, so shoot me a message and let’s do something fun together.
San Fransico, California: 15th to 21st. I’m coming in for the a16z/Speedrun demo day (18th March), but pretty flexible aside from that.

Would love to meet y’all there. Meeting my readers is my favorite part of writing, and travelling is a great opportunity to take advantage of this.

Onto the next update.

My network is hiring

A very exciting job opened up in my network. It’s with one of the most exciting advanced (over 300 Million Revenue) startups I know. They are looking for Machine Learning + Cloud Engineers in New York and San Fransico. They’re an amazing startup servicing some of the top AI and Tech companies in the world and working on some very exciting products- so I would wholeheartedly endorse them.

Their pay range is the following- 186,000 - $207,000 and the JD given below. If it sounds like a match for you, send me your resume (devansh@svam.com). This is location sensitive, so please only reach out if you’re eligible (I’ll have other remote positions in the future).

JD

Sitting in our Engineering team reporting to the AI Tech Lead, during a period of high growth as we focus on scalability and performance of our models and platform working on building out backend infrastructure, optimizing cloud infrastructure to enabling ML team to deploy models more effectively.

Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows

What We Need

Professional Experience:
- 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production.
- Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads.
Technical Expertise:
- Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development.
- Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications.
- Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads.
- Familiarity with Kubernetes and other container management tools.
- Ability to write well-structured, organized code and automated unit/E2E tests.
- Comfortable with polyglot persistence models (SQL vs. NoSQL).
ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management.
Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers.