HOW YOU’LL MAKE AN IMPACT

The role will help establish the technical foundation for scalable, secure, and responsible AI adoption across the organization while enabling teams to integrate AI capabilities into web platforms and digital products.

This position is based in India and is remote.

Key Responsibilities
- Develop conversational AI systems using LLM architectures and retrieval-augmented generation (RAG).
- Build and maintain APIs and microservices that enable AI capabilities across digital platforms.
- Develop AI-powered chatbots and assistants to support initiatives such as certification-review tools, customer guidance systems, and conversational analytics.
- Integrate AI solutions with enterprise platforms, including Snowflake, Salesforce, Power BI, Drupal, and other internal systems.
- Design knowledge ingestion and retrieval pipelines using embeddings, vector search, and semantic retrieval techniques.
- Operationalize AI systems with monitoring, logging, evaluation frameworks, and cost optimization.
- Coordinate closely with other developers, architects, product owners,



and business stakeholders to deliver AI initiatives.
- Collaborate with cross‑functional teams to identify high‑impact AI use cases and deliver scalable production solutions.
- Ensure responsible AI practices, including citation grounding, security, governance, and data protection.

REQUIRED QUALIFICATIONS

Experience
- 3+ years working with AI/ML or LLM-based systems.
- Experience integrating foundation models such as Anthropic Claude or similar models into production workflows.
- Experience implementing retrieval-augmented generation (RAG) or semantic search systems.
- Experience working collaboratively within engineering teams to deliver complex technical initiatives.
- Experience integrating AI solutions with enterprise systems and data platforms.

Education
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (or equivalent e

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