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Generative AI Developer

SS&C TechnologiesPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano28 czerwca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

SS&C Technologies is a global leader in financial services and healthcare software, dedicated to delivering transformational business value through intelligent automation. We are seeking a Generative AI Developer to join our team and build production-grade, end-to-end applications that leverage internal LLM platforms to solve complex enterprise challenges.

Key responsibilities

  • Design, develop, and optimize applications using internal LLM platforms while ensuring security and reliability.
  • Create and maintain high-quality prompts using advanced techniques like RAG, few-shot prompting, and prompt chaining.
  • Build full-stack applications by integrating LLMs with backend services and web-based user interfaces.
  • Analyze structured and unstructured data to translate business requirements into effective LLM-driven workflows.
  • Ensure all solutions align with enterprise governance, compliance, and data privacy standards.

Requirements

  • 2–3 years of experience in building GenAI or LLM-based applications and 1–3 years of hands-on prompt engineering.
  • Proficiency in at least one modern programming language and experience with end-to-end application development.
  • Strong understanding of RAG architectures, vector search, and service-oriented architecture.
  • Ability to manage trade-offs regarding model performance, latency, and cost while mitigating hallucinations and bias.
  • Excellent written English skills for effective prompt design and technical documentation.

What we offer

  • Opportunity to build real, production-grade GenAI applications within a secure, enterprise-focused environment.
  • Influence on how Generative AI is adopted and scaled responsibly across the organization.
  • Collaboration within an end-to-end engineering team rather than a siloed research lab.

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