GenAI Developer / Engineer (Senior / Lead)
SS&C Technologies (company site, opens in a new tab)6–14 yrsKarnatakaRemoteDirect career pageEst. 25–45 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain Generative AI and Large Language Model (LLM)-based systems, including prompt engineering and agentic AI workflows.
- Design and implement Retrieval-Augmented Generation (RAG) architectures with vector databases such as Pinecone, FAISS, Weaviate, or OpenSearch.
- Integrate and optimize AI solutions using APIs from OpenAI, Azure OpenAI, Anthropic, or Google GenAI, ensuring performance, cost management, and validation of AI outputs.
Minimum Requirements
- 6 to 14 years of overall software development experience with strong proficiency in Python.
- 2 to 3 years of hands-on experience with Generative AI/LLM-based systems and prompt engineering.
- Experience with RAG architectures and vector databases (e.g., Pinecone, FAISS, Weaviate, OpenSearch).
- Hands-on experience with AI APIs (OpenAI, Azure OpenAI, Anthropic, or Google GenAI), plus working knowledge of APIs, microservices, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP).
Ideal Candidate Profile
- Experienced in building autonomous or multi-agent AI solutions leveraging agentic AI workflows.
- Strong familiarity with LLM fundamentals including tokenization, context windows, cost/performance trade-offs, hallucinations, and output validation.
- Comfortable navigating cloud environments and integrating diverse AI-related technologies including vector databases and microservices architecture.