Remote: Yes (open to remote, hybrid, or on-site)
Willing to relocate: Yes (Anywhere in the US)
Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain
Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K... | https://github.com/ansharma07
Email: anshul03@vt.edu
Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, integrating LLMs into real-world applications, and developing end-to-end features from backend services to modern web frontends.
Looking for Full Stack Software Engineer, Backend Software Engineer, or AI Software Engineer roles at startups or product-focused companies where I can build impactful products, own features end-to-end, and solve challenging engineering problems at scale.
We are an AI engineering company that builds end-to-end AI solutions. By applying the latest AI research, we keep our clients at the forefront of innovation. If you are interested check out:
https://www.ml6.eu/en/customers/cases/
Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6. You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers and help bring application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).
Open roles include:
• Senior AI Engineer
• Senior Software Engineer
• Medior AI Engineer
• Squad Lead GenAI
and many more!
Apply now at the https://jobs.ml6.eu/
Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade, a method for deep learning anomaly detection invented and deployed at Google (published at https://arxiv.org/abs/2412.06700).
Looking for a senior/staff level engineer with >5 YoE shipping production machine learning systems, and some experience with deep learning recommendation models. Prior experience in the cybersecurity domain is preferred, but not required. Fluency in an ML framework (e.g. Pytorch, Jax, or Tensorflow) and ETL data orchestration (e.g. Spark, Beam, Dagster) is required. You will work closely with the founder, an author of the above paper, on building and deploying a system for enterprise customers.
Contact at hiring[at]palacecyber.com