Senior Software Engineer (Contingent)
Cryoport, Inc.22 hours ago
Remote, United StatesSenior
Responsibilities
- Build scalable, resilient, and maintainable software systems and core value-stream application components.
- Design and integrate production-grade AI systems using foundation models, LLM APIs, LangChain, LlamaIndex, RAG pipelines, and vector search.
- Develop and maintain ML serving infrastructure and model deployment pipelines.
- Evaluate foundation models and open-source alternatives for performance, suitability, and cost efficiency.
- Establish practices for prompt management, AI evaluation, observability, and responsible AI development.
- Participate in architecture reviews, technical discussions, roadmap planning, and technology assessments.
- Translate business goals into technical requirements in collaboration with product managers and stakeholders.
- Contribute to technical documentation and knowledge sharing.
- Mentor mid-level engineers and foster technical ownership and learning.
- Apply software engineering practices including modularization, testing, security, data modeling, and loosely coupled architecture.
Requirements
- Bachelor's degree in Computer Science or an equivalent degree is required; a master's degree in Computer Science is preferred.
- 8+ years of experience architecting, implementing, and maintaining large-scale distributed web applications with 100,000+ lines of code.
- 5+ years of experience architecting, implementing, and maintaining JSON APIs.
- 2+ years of hands-on AI/ML engineering experience in production environments.
- Experience with Ruby on Rails, J2EE, JavaScript, React, Node, Python, and other web technologies.
- Extensive knowledge of microservices, APIs, event-driven architectures, Docker, Kubernetes, and data modeling.
- Hands-on experience with LLM APIs such as OpenAI and Anthropic and frameworks such as LangChain or 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, troubleshooting, collaboration, innovation, and strategic-vision skills.
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.