AI Engineer - II
Teradata (company site, opens in a new tab)3+ yrsBengaluruHybridDirect career pageEst. 14–28 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement AI/ML capabilities including vector search, Retrieval-Augmented Generation (RAG), and AI agents for enterprise data and database workloads.
- Develop scalable, production-ready AI software that operates across cloud (AWS, Azure, GCP), on-premises, and hybrid environments with a focus on performance and maintainability.
- Collaborate with AI architects, engineers, and platform teams to translate requirements into technical designs and contribute to evolving AI capabilities and prototypes.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, Computer Engineering, or related technical field.
- Minimum 3 years of professional experience in software engineering, AI/ML, or data engineering with hands-on development.
- Proficient programming skills in at least one of C++, Python, Rust, Java, or similar languages.
- Experience with AI/ML, NLP, Generative AI, or LLM-based applications and knowledge of vector search, embeddings, and SQL/relational databases.
Ideal Candidate Profile
- Experienced in building or integrating AI capabilities involving vector databases, ANN algorithms (e.g., HNSW, IVF, Product Quantization), and generative AI frameworks (e.g., LangChain, MCP).
- Comfortable working on cross-cloud and hybrid AI solutions with an emphasis on software engineering best practices including testing, security, and observability.
- Operates well in collaborative environments cooperating with multiple technical teams and translating complex AI requirements into operational enterprise software.