Advanced Prompt Engineer
SS&C Technologies
Job Description
- 5 – 9 years of experience in software engineering, computational linguistics, or technical prompt development.
- Deep knowledge of foundation model behaviors (GPT-4, Llama, Claude, 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 (Pydantic, Instructor) and guardrail systems.
- Strong technical discipline around edge-case mapping, deterministic output formatting, and cost optimization.
- Hands-on experience with foundation models such as GPT-4, Claude, Llama, including model behavior, context window dynamics, tokenization, and prompt optimization.
- Strong expertise in advanced prompting techniques such as Few-Shot Prompting, Chain-of-Thought (CoT), ReAct, and Context Engineering for solving 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.
- Prompt evaluation and optimization using Python, including automated prompt testing, DSPy-based tuning, evaluation frameworks, and cost optimization of LLM applications.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.