Senior Software Engineer
Cryoport, Inc.1 day ago
Remote, United StatesSenior
Responsibilities
- Implement scalable, resilient, and maintainable software systems, including LLM integrations, RAG pipelines, and agentic workflows.
- Design and build production-grade AI systems using foundation-model APIs, AI frameworks, vector databases, and semantic search architectures.
- Evaluate and benchmark foundation models and open-source alternatives for performance, suitability, and cost efficiency.
- Design and maintain ML-serving infrastructure and model deployment pipelines in collaboration with data science teams.
- Establish practices for prompt management, AI evaluation, observability, code quality, testing, security, and data modeling.
- Participate in architecture reviews, technical discussions, roadmap planning, and technical documentation.
- Translate business goals into technical requirements and align stream initiatives with organizational objectives.
- Mentor mid-level engineers and foster technical ownership, learning, and responsible AI development.
Requirements
- Bachelor's degree in Computer Science or an equivalent degree is required; a master's degree in Computer Science is preferred.
- At least 8 years of experience architecting, implementing, and maintaining large multi-tier distributed web applications using Ruby, Ruby on Rails, J2EE, JavaScript, React, Node, Python, and related web technologies.
- At least 5 years of experience architecting, implementing, and maintaining JSON APIs.
- At least 2 years of hands-on AI/ML engineering experience in production environments.
- Extensive knowledge of microservices, APIs, event-driven architectures, containerization, Docker, Kubernetes, and data modeling.
- Hands-on experience with LLM APIs such as OpenAI and Anthropic and frameworks such as LangChain and LlamaIndex.
- Experience with vector databases such as Pinecone, Weaviate, or pgvector and semantic search architectures.
- Familiarity with ML-serving infrastructure and cloud-based AI deployment patterns.
- Experience with model evaluation, prompt engineering, and AI observability tooling.
- Knowledge of LoRA, RLHF, MLflow, or Weights & Biases is a plus.
- Strong analytical problem-solving skills, a hands-on troubleshooting approach, strategic vision, innovation mindset, and ability to collaborate across teams.
Tech Stack
Categories
About Cryoport, Inc.
Cryoport, Inc. provides temperature-controlled supply chain solutions for life sciences, offering specialty logistics, biostorage, cryogenic equipment, advanced packaging, informatics, and consulting through Cryoport Systems, MVE Biological Solutions, and CRYOGENE. It serves biopharmaceutical, cell and gene therapy, animal health, and reproductive medicine customers worldwide. Founded in 1999 and headquartered in Brentwood, Tennessee, Cryoport is a public company listed on NASDAQ under the ticker CYRX.