Senior AI Engineer
New
J
JobgetherB2B SaaS
Based in United States, US Eastern TimeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 4 years
- Required Skills
- AWSDockerPythonKubernetesPyTorchFastAPIGenerative AILangChain
Requirements
- At least 4 years of experience building and deploying machine learning or AI systems in production.
- Strong Python programming and software engineering skills.
- Experience building production services with Python frameworks such as FastAPI.
- Hands-on experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.
- Experience with frameworks such as PyTorch, LangChain, LangGraph, or comparable technologies.
- Strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, and evaluation.
- Experience with AWS, Docker, Kubernetes, Terraform, and CI/CD practices.
- Experience with AWS services such as SageMaker or Bedrock.
- Experience with Kafka and vector databases for high-dimensional data processing.
- Experience managing machine learning workflows with MLflow.
- Experience monitoring production systems using tools such as Datadog or OpenSearch.
Responsibilities
- Design, build, and deploy generative AI capabilities with a focus on research and conversational AI.
- Develop AI applications using LLMs, RAG, vector search, and agentic systems.
- Build reliable services and APIs for integration into customer-facing products.
- Transform prototypes into production-ready systems with established performance and quality standards.
- Operate machine learning workflows using Python, Docker, Kubernetes, and AWS.
- Build real-time processing pipelines using Kafka and Airflow.
- Monitor production AI systems and implement improvements for reliability and cost-efficiency.
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