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SS&C

Cloud-based SaaS for financial operations

Advanced Prompt Engineer

AI Application EngineeringPosted on Nov 9
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 5–9 years of experience in software engineering, computational linguistics, or technical prompt development.
  • Deep knowledge of foundation model behaviors, including GPT-4, Llama, Claude, and Mistral; context-window dynamics; and tokenization mechanics.
  • Strong Python coding skills to programmatically generate, test, and evaluate prompt performance at scale.
  • Hands-on experience with output-validation libraries such as Pydantic and Instructor, and with guardrail systems.
  • Strong technical discipline in edge-case mapping, deterministic output formatting, and cost optimization.
  • Hands-on experience with foundation models such as GPT-4, Claude, and Llama, including model behavior, context-window dynamics, tokenization, and prompt optimization.
  • Expertise in advanced prompting techniques such as few-shot prompting, chain-of-thought (CoT), ReAct, and context engineering for business use cases.
  • Experience with structured outputs and guardrails, including JSON/XML/Pydantic outputs, output validation, hallucination reduction, and safety frameworks such as NeMo Guardrails.
  • Experience using Python for prompt evaluation and optimization, including automated prompt testing, DSPy-based tuning, evaluation frameworks, and cost optimization of LLM applications.

About the Company

SS&C

Cloud-based SaaS for financial operations

SS&C Technologies provides cloud-based software and services for financial services firms, focusing on investment and asset management. Its subscription-based SaaS tools automate back-office tasks, portfolio and investment management, and related workflows, all hosted in the cloud. The platform integrates with other financial systems to manage assets, processing, reporting, and compliance from a single place, helping reduce manual work and costs. By offering breadth across wealth, asset, and property management with a services-enabled SaaS model, its goal is to automate, standardize, and optimize back-office operations so firms can focus on managing investments and client relationships.

Company size
10,001+
Company stage
IPO
Headquarters
Windsor, CT
Founded
1986

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