Senior GenAI Developer – Engineer

🕒 April 10

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SS&C Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.

📋 Description

• Develop and engineer Generative AI/LLM-based systems • Design and implement RAG architectures using vector databases • Build Agentic AI workflows and autonomous/multi-agent solutions • Apply prompt engineering and LLM fundamentals, including tokenization, context windows, cost/performance trade-offs, hallucination mitigation, and bias/output validation • Integrate Generative AI APIs including OpenAI, Azure OpenAI, Anthropic, or Google GenAI • Work with APIs, microservices, SQL/NoSQL databases, and cloud platforms

🎯 Requirements

• 6 - 14 years of overall software development experience with strong proficiency in Python • 2 - 3 years of hands-on experience with Generative AI/LLM-based systems, including prompt engineering • Experience with RAG architectures and Vector Databases (Pinecone, FAISS, Weaviate, or OpenSearch) • Strong hands-on experience with Agentic AI workflows and building autonomous/multi-agent solutions • Working knowledge of LLM fundamentals: tokenization, context windows, cost/performance trade-offs, hallucinations, and bias/output validation • Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Google GenAI APIs • Familiarity with APIs, microservices, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP)