Aptonet Inc

GenAI Scientist/Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Scientist/Engineer, offering a fully remote contract position with a pay rate based on qualifications. Requires a Bachelor's in a related field, 2+ years in NLP/AI/LLM development, and proficiency in Python, JavaScript, and cloud environments.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 28, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Kubernetes #NLP (Natural Language Processing) #Python #ML (Machine Learning) #Deployment #Databases #Lambda (AWS Lambda) #Cloud #JavaScript #Libraries #Computer Science #Microservices #"ETL (Extract #Transform #Load)" #Logging #Monitoring #DevOps #MongoDB #Docker #TypeScript #AI (Artificial Intelligence) #Data Science #Langchain #Scala #FastAPI #AWS (Amazon Web Services) #Observability #S3 (Amazon Simple Storage Service) #LDAP (Lightweight Directory Access Protocol)
Role 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 β€’ Enhance and maintain an enterprise AI chat and document intelligence platform β€’ Develop and optimize RAG pipelines and LLM integrations β€’ Build backend APIs and AI tools for scalable, multi-team use β€’ Collaborate with business teams to translate document and data needs into AI solutions β€’ Support production deployments with monitoring, logging, and performance optimization β€’ Core TechnologiesLanguages: Python, JavaScript/TypeScript β€’ AI/ML: LLMs (Claude, GPT), LangChain, vector search, NLP libraries β€’ Backend: FastAPI, Node.js, Express β€’ Cloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CD β€’ Databases: MongoDB, vector databases Required Qualifications Bachelor’s degree in Computer Science, Data Science, ML, Linguistics, or related field β€’ 2+ years of experience in NLP, AI, or LLM-based development β€’ Strong experience building APIs and production AI systems β€’ Familiarity with RAG architectures, embeddings, and semantic search β€’ Experience deploying AI solutions in cloud environments Preferred Qualifications β€’ Master’s or PhD in a related field β€’ Experience with MLOps, microservices, and enterprise authentication systems β€’ Knowledge of advanced NLP techniques and observability tooling if not in ATL area - job can be fully remote Benefits (employee contribution): β€’ Health insurance β€’ Health savings account β€’ Dental insurance β€’ Vision insurance β€’ Flexible spending accounts β€’ Life insurance β€’ 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.