Senior Software Engineer, Emerging Products

3 weeks ago


New York, United States Epik Solutions Full time
Job DescriptionJob Description

Basically requirements are 5+ year experienced engineers with skills in: Python, Typescript, React, AWS cloud native, Open AI, LLMs, RAG. Needs to have good communication etc

Senior Software Engineer, Emerging Products (AI/LLM)

Responsibilities

  • Lead the design, development, and deployment of software solutions that leverage AI and LLM technologies in the strategic drug development process.
  • Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products.
  • Ensure the scalability, security, and performance of our software systems.
  • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives in drug development.
  • Stay abreast of emerging trends and advancements in AI, LLMs, and software development to continually enhance our product offerings.
  • Act as an internal evangelist for use of AI and LLMs, providing expert guidance and insights to other teams within the organization.

About You

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Minimum of 5 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting.
  • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.
  • Experience with AI technologies, particularly in LLMs and machine learning.
  • Familiarity with cloud infrastructure (e.g., AWS, Azure, GCP) and the full end-to-end process of modern software deployment (e.g., containerization, CI/CD).
  • Experience in the pharmaceutical or biotech industry is a plus, but not required


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