GenAI Scientist
Design and develop enterprise AI chat and document intelligence platforms using NLP and AI. Collaborate with business teams to translate document and data needs into AI solutions. Enhance and maintain an enterprise AI chat and document intelligence platform.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
GenAI Scientist
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 TechnologiesLanguages: 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
- Master’s or PhD in a related field
- Experience with MLOps, microservices, and enterprise authentication systems
- Knowledge of advanced NLP techniques and observability tooling
if not in ATL area - job can be fully remote
Benefits (employee contribution):
- Health insurance
- Health savings account
- Dental insurance
- Vision insurance
- Flexible spending accounts
- Life insurance
- Retirement plan
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant.
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