Artificial Intelligence Engineer : Company is looking for an experienced Generative AI and Large Language Model (LLM) professional with proven hands-on expertise in building and deploying AI-powered solutions. The ideal candidate will possess a strong blend of technical proficiency, analytical thinking, and effective communication skills to design, develop, and optimize scalable AI-driven systems for enterprise-level applications.
This role requires deep knowledge of LLMs, prompt engineering, model fine-tuning, AI workflows, and real-world deployment, along with the ability to translate business requirements into intelligent, data-driven solutions. The candidate should be comfortable collaborating with cross-functional teams to deliver high-impact AI solutions that drive innovation and operational efficiency.
| Company | SS&C Technologies |
| Business Type | Enterprise |
| Company Type | Product |
| Business Model | B2B |
| Funding Stage | IPO/Public |
| Industry | Fintech |
Role Overview (Artificial Intelligence Engineer)
Company is seeking a highly skilled professional with hands-on experience in Generative AI and Large Language Models (LLMs). The ideal candidate will combine technical expertise, analytical ability, and strong communication skills to design, build, and optimize AI-driven solutions for enterprise applications.
Key Responsibilities
- Design and implement solutions leveraging Generative AI and LLM-based systems
- Develop and refine prompts for optimal model performance
- Analyze and validate AI outputs to ensure accuracy, fairness, and reliability
- Collaborate with cross-functional teams to integrate AI into business workflows
- Optimize performance and cost trade-offs in LLM deployments
- Contribute to enterprise-scale GenAI initiatives, including RAG architectures and document processing use cases
Required Skills & Experience
- 2–3 years working with Generative AI / LLM-based systems
- 1–3 years prompt engineering experience
- Strong written English for crafting precise, unambiguous instructions
- Proficiency in at least one programming language (language-agnostic mindset)
- Solid understanding of:
- LLM behavior, strengths, and limitations
- Tokenization, context windows, cost/performance trade-offs
- Hallucinations, bias, and output validation techniques
Technical Expertise
- Experience with:
- OpenAI / Azure OpenAI / Anthropic / Google GenAI APIs
- Vector databases (Pinecone, FAISS, Weaviate, OpenSearch)
- RAG (Retrieval-Augmented Generation) architectures
- Familiarity with:
- APIs and microservices
- SQL and/or NoSQL databases
- Cloud platforms (AWS, Azure, GCP)
Preferred / Nice-to-Have Skills
- Experience building enterprise GenAI solutions
- Knowledge of evaluation frameworks for LLM outputs
- Experience with document processing, summarization, contract analysis
- Understanding of data privacy, security, and compliance in AI systems
- Exposure to MLOps / LLMOps concepts
About The Company
Welcome to SourcingXPress, where we’re building a future-ready hiring ecosystem designed for transparency, efficiency, and human connection.
Our mission is simple: to create a seamless platform where employers, job seekers, and recruiters thrive together. From cutting-edge matchmaking algorithms that evaluate candidates to real-time updates for job seekers, we ensure clarity and empowerment at every step of the hiring process.
What We Offer:
For Employers: Save time with our advanced candidate-matching algorithms and make informed hiring decisions faster.
For Job Seekers: Track every action recruiters take on your profile, from resume views to shortlisting or rejections—no more waiting in the dark.
For Recruiters: Access a curated marketplace and tools to source the best talent efficiently.
At SourcingXPress, we’re not just a hiring platform—we’re a community-driven ecosystem focused on empowering people through meaningful connections and cutting-edge technology.
Join us as we reshape the hiring journey—one connection at a time.
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