SS&C; is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C; is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C; for expertise, scale, and technology.

Job Description
6 - 14 years of overall software development experience with solid 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)
Solid 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)
Nice to have: experience with document processing/summarization, LLM evaluation frameworks, or MLOps/LLMOps practices

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 Prospect 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.

📌 Genai Developer / Engineer Senior / Lead Karnataka
🏢 SS&C Technologies
📍 Karnataka