Apply advanced prompting techniques including
Few-shot prompting
Prompt chaining
RAG (Retrieval-Augmented Generation)
Establish prompt evaluation and versioning practices
End-to-End Application Development
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
Web & Technology Stack
Work with modern web technologies, such as
REST APIs
Web frameworks (React, Angular, Vue, or equivalent)
Backend services (Node.js, Java, Python, .NET, etc.)
Understand client-server architecture and web security fundamentals
Build scalable, maintainable application architectures
Data, Analysis & Automation
Analyze structured and unstructured data for GenAI use cases
Translate business requirements into LLM-driven workflows
Perform data validation, transformation, and analysis to support AI pipelines
Collaborate with automation teams; experience with Blue Prism is a plus
Enterprise & Governance
Build solutions aligned with enterprise security, compliance, and governance standards
Work with private/internal LLMs, ensuring data privacy and controlled usage
Document design decisions, prompts, and system behavior clearly
Required Skills & Qualifications
Core Requirements
2–3 years experience building GenAI / LLM-based applications
1–3 years hands-on experience with prompt engineering
Strong written English skills (critical for prompt design and documentation)
Data analysis or business analysis experience (2–3 years)
Ability to code in at least one modern programming language (language-agnostic mindset)
Experience building end-to-end applications, not just models or scripts
Technical Skills
Experience with
Internal / private LLM platforms
RAG architectures and vector search
APIs and service-oriented architecture
Solid understanding of
LLM limitations (hallucinations, bias, drift)
Evaluation and validation of model outputs
Cost, latency, and performance trade-offs
Preferred / Nice-to-Have Skills
Blue Prism RPA experience
Experience with enterprise web applications
Familiarity with LLMOps / MLOps concepts
Knowledge of document-heavy domains (contracts, agreements, reports)
Experience working in regulated or enterprise environments
Mindset & Attributes
Strong analytical and problem-solving skills
Comfortable working across language, data, and code
Business-focused with an outcome-driven mindset
Able to explain GenAI behavior to technical and non-technical audiences
Why Join Us
Build real, production-grade GenAI applications
Work with secure, internal LLM platforms
Influence how GenAI is adopted responsibly at scale
Be part of an end-to-end engineering team, not a siloed AI lab
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
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.
