Job Details

GenAI Scientist
Alternate Job Title: Gen AI Specialist

What You'll Work On

Document Intelligence: Extracting and analyzing large volumes of corporate documents using NLP and AI
Conversational AI: Building enterprise chat systems for knowledge discovery and decision support
GenAI & LLMs: Developing, optimizing, and monitoring LLM and RAG pipelines
Enterprise Integration: Integrating AI solutions with corporate systems (OAuth, LDAP, cloud services)
Scalable Platforms: Designing microservices-based, production-ready AI solutions
Key Responsibilities

• Enhance and maintain an enterprise AI chat and document intelligence platform
• Develop and optimize RAG pipelines and LLM integrations
• Build backend APIs and AI tools for scalable, multi-team use
• Collaborate with business teams to translate document and data needs into AI solutions
• Support production deployments with monitoring, logging, and performance optimization

Core Technologies
Languages: Python, JavaScript/TypeScript
AI/ML: LLMs (Claude, GPT), LangChain, vector search, NLP libraries
Backend: FastAPI, Node.js, Express
Cloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CD
Databases: MongoDB, vector databases

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, ML, Linguistics, or related field
• 2+ years of experience in NLP, AI, or LLM-based development
• Strong experience building APIs and production AI systems
• Familiarity with RAG architectures, embeddings, and semantic search
• Experience deploying AI solutions in cloud environments

Preferred Qualifications

• M aster's or PhD in a related field
• Experience with MLOps, microservices, and enterprise authentication systems
• Knowledge of advanced NLP techniques and observability tooling