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Generative AI Developer, Engineer, Analyst

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

Where this job comes from

Posted on SS&C Technologies's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of SS&C Technologies

SS&C Technologies

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

• Design, develop, and optimize applications leveraging internal LLM platforms • Create, test, and maintain high-quality prompts • Apply few-shot prompting, prompt chaining, and RAG • Establish prompt evaluation and versioning practices • Build full-stack, end-to-end GenAI applications • Design and implement backend services integrating LLMs with enterprise systems • Develop or collaborate on web-based user interfaces • Integrate GenAI capabilities into existing applications and workflows • Work with REST APIs, web frameworks, and backend services • Build scalable, maintainable application architectures • Analyze structured and unstructured data for GenAI use cases • Translate business requirements into LLM-driven workflows • Perform data validation, transformation, and analysis for AI pipelines • Collaborate with automation teams • Build solutions aligned with enterprise security, compliance, and governance standards • Work with private/internal LLMs to ensure data privacy and controlled usage • Document design decisions, prompts, and system behavior

🎯 Requirements

• 2–3 years of hands-on experience in Generative AI / LLM-based solutions • 2–3 years of experience in data analysis, business analysis, or analytics-driven roles • 1–3 years of experience in prompt engineering • Strong written English skills • Ability to code in at least one modern programming language • Experience building end-to-end applications • Experience with internal/private LLM platforms • Experience with RAG architectures and vector search • Experience with APIs and service-oriented architecture • Understanding of LLM limitations, including hallucinations, bias, and drift • Understanding of evaluation and validation of model outputs • Understanding of cost, latency, and performance trade-offs • Preferred/nice-to-have: Blue Prism RPA experience • Preferred/nice-to-have: Experience with enterprise web applications • Preferred/nice-to-have: Familiarity with LLMOps/MLOps concepts • Preferred/nice-to-have: Knowledge of document-heavy domains • Preferred/nice-to-have: Experience in regulated or enterprise environments

🏖️ Benefits

• Production-grade Generative AI applications • Secure, internal LLM platforms • Opportunity to influence responsible GenAI adoption at scale • End-to-end engineering team environment

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