AI Engineer (India)

Collaborates: Works effectively with cross-functional teams and contributes constructively toward shared goals.

Manages Ambiguity: Adapts to evolving datasets, model approaches, and product requirements while maintaining steady development progress.

Engaged: Shares our values and possesses the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers.

3+ years of experience as an ML Engineer developing and productionizing traditional ML models and/or Generative AI applications.

Hands-on experience in Python.

Strong experience in building and deploying LLM and Generative AI applications at scale.

Extensive hands-on experience with third-party LLM provider APIs (OpenAI, Google, Anthropic, Amazon Bedrock) and open-source LLMs (Llama, Mistral).

Experience in building conversational systems using LLMs and agentic frameworks (LangChain, LlamaIndex, LangGraph, CrewAI).

Hands-on experience with microservices architecture and orchestration, including building backend APIs using FastAPI.

Experience with vector databases (e.g., Pinecone), graph databases (e.g., Neo4j), and hybrid search.

Hands-on experience working with SQL (e.g., Postgres, Snowflake) and NoSQL (e.g., DynamoDB) databases/warehouses.

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.