Info
Singapore
Singapore, Singapore
Regular Full Time
Regular Full Time
Software, Technologist/Engineer
Software, Technologist/Engineer

Software Engineer II

Inactive
Thermo Fisher Scientific - Career

As the world leader in serving science, our work is more than something that fills our days – what we do has great purpose. Our industry-leading scale means unparalleled commercial reach, unique customer access and a global footprint. Our broad customer base, from research to clinical to commercial production means you can have a broad and meaningful impact here at Thermo Fisher Scientific. All while working in an environment where you will be supported, valued and rewarded for your performance.

Software Engineer II

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner and safer. The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies. Our innovations drive scientific breakthroughs, from pioneering research to routine testing and real-world applications.

How will you make an impact?

You will be a cornerstone in developing and ensuring reliable and innovative applications that ultimately drive excellence in our product offerings. You will collaborate with and learn from a dedicated team of software developers, revolutionizing healthcare through low-cost and high throughput diagnostic systems.

What will you do?

  • Design, prototype, and deploy innovative applications — including chatbots, copilots, and autonomous agents — optimized for safety, performance, and cost-efficiency.
  • Integrate tools via Model Context Protocol (MCP) and other agent frameworks.
  • Design and implement robust, multi-turn conversational agents with escalation paths, safety guardrails, and seamless integration into web/mobile/internal platforms.
  • Using AI to quickly conduct feasibility study and POCs on new architecture designs.
  • Involved in all phases of software development including design, implementation, testing, integration, and maintenance of the software.
  • Development and support of GUI, analysis, communications, and instrument control software
  • Integration of algorithms & mathematical functions for identification and quantification of data collected by instruments
  • Understand the business needs, analyze the workflows, and carry out integrations across different sub-components.

How will you get here?

Education
  • Bachelors Degree in Computer Science or Bioengineering (with software focus) or equivalent
Experience and skills Required
  • 2+ year experience in software development experience in the software industry preferably in AI application development and evaluation experience, fresh postgraduates with relevant research background are welcome
  • Hands-on experience with major LLMs/APIs or frameworks (Open AI, LangChain or Anthropic, Hugging Face etc)
  • Strong knowledge in using AI tools when performing development tasks.
  • Knowledge of latest software development methodologies
  • Experience in source control (i.e., GitHub) and CI/CD pipeline.
  • Proven background in core Java or Python.
  • Good understanding of data structures, design patterns, object-oriented design, and algorithms used in programming.
  • Excellent teamwork and collaboration skills. Ability to manage high priority tasks and adapt to changes in priorities. Effectively communicates and illustrates ideas; contributes critically and positively to a team.
Preferred experience and skills
  • Previous experience of developing web applications using front-end technologies like Angular, React, VueJS and Electron is a plus.
  • Familiar with RAG frameworks with vector search (eg. FAISS/pgvector/Pinecone), hybrid search, rerankers, citation/grounding.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, CI/CD) and cloud services
  • Hands-on experience of building agent or chatbot
  • Evaluation: RAGAS/G-Eval or similar; offline/online metrics and A/B frameworks.
  • Data systems: SQL/NoSQL, message queues, object storage; schema design for documents & metadata.
  • Understanding AI safety principles, hallucination mitigation, and factuality evaluation techniques.
  • Experience in using AWS Sagemaker, AWS Bedrock and AWS Step Functions to streamline the AI agents into production
  • Experience in biotechnology industry is a plus
 

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