Senior GenAI Scientist

aptonet United State
Remote
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AI Summary

Develop and optimize AI solutions for document intelligence and conversational AI, integrating with enterprise systems. Enhance and maintain enterprise AI platforms, collaborating with business teams to translate needs into AI solutions.

Key Highlights
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
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
Technical Skills Required
Python JavaScript LLMs (Claude, GPT) LangChain vector search NLP libraries FastAPI Node.js Express AWS (ECS, EKS, S3, Lambda, Bedrock) Docker Kubernetes CI/CD MongoDB vector databases
Benefits & Perks
Health insurance
Health savings account
Dental insurance
Vision insurance
Flexible spending accounts
Life insurance
Retirement plan
Nice to Have
Experience with MLOps, microservices, and enterprise authentication systems
Knowledge of advanced NLP techniques and observability tooling

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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