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.
- Robust 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.

📌 Advanced Prompt Engineer (India)
🏢 SS&C Technologies Holdings
📍 India