Hiring: Algorithm and AI Senior/Staff Engineer Company: Thermo Fisher Scientific Location: Singapore, Singapore Job Posted Time: 2026-09-17 04:40:43 Employment Type: Hybrid Target Skills & Keywords : A/B Testing, AWS, CI/CD, Grafana, Hugging Face, Java, JavaScript, LLM, LangChain, MATLAB, OpenTelemetry, Pinecone, Prometheus, Python, R, RAG, SQL, SageMaker, Step Functions, TypeScript, pgvector About the job Experience: •5+ years of hands-on experience in production-level chatbots development, including at least 1 year experience in building LLM-based agents. •At least 1 year experience in building LLM-based agents. Required Skills: •5+ years of hands-on experience in production-level chatbots development, including at least 1 year experience in building LLM-based agents. •Hands-on with major LLMs/APIs(Open AI, LangChain or Anthropic, Hugging Face etc); Expertise in prompt and context engineering for LLMs. •Deep experience with RAG pipelines and vector/hybrid search (e.g., FAISS, pgvector, Pinecone), rerankers, and grounding/citation techniques. •Demonstrated skills in developing resilient chatbots incorporating state management, tool/function integration, fallback strategies, and multilingual support. •Proficient programming abilities in Python (mandatory); familiarity with TypeScript, Java/JavaScript, or Matlab is advantageous. •Applied hands-on capability in AI Agent system performance profiling, batching/streaming, async/concurrency, timely caching, cost/latency budgeting. •Strong communication skills with the ability to present work to both technical specialists and non-experts. •Demonstrated capacity to work independently and collaboratively in cross-functional teams. Qualifications: •Master’s degree in Computer Sciences, Mathematics, Statistics, Bioinformatics or a related field; a Ph.D or equivalent experience is highly preferred. •Operational familiarity with data systems: SQL/NoSQL, message queues, object storage, and schema design for documents and metadata. •Understanding of AI system security, data privacy, and compliance considerations in production environments. •Proven proficiency in advising junior AI engineers and supporting team-level technical direction. •Applied hands-on capability in AWS SageMaker, Bedrock, and Step Functions, along with other relevant AWS services, to build, deploy, and orchestrate AI agents in scalable, production-grade workflows. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!