AI Engineer (Cloud/Engineering Focus)

Danta Technologies

Atlanta, GA

JOB DETAILS
SALARY
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Applications, Cloud Computing, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Data Science, Docker, Engineering, Forecasting, GCP (Good Clinical Practices), Git, MCP - Microsoft Certified Professional, Microservices, Microsoft Windows Azure, Predictive Modeling, Python Programming/Scripting Language, REST (Representational State Transfer), SQL Databases, Scalable System Development, Software Development, Software Engineering, Source Code/Configuration Management (SCM), Statistical Modeling
LOCATION
Atlanta, GA
POSTED
Today

We are looking for AI Engineers with a strong Software Engineering background, Traditional Data Scientists will not be considered for this position.

Job Title: AI Engineer (Cloud/Engineering Focus)
Location - Dallas, TX / Basking Ridge, NJ / Atlanta, GA (Onsite position)
Long term position

Pay rate - $45/hr on W2/Danta Technologies payroll. We cannot sponsor for this position. Looking for independent candidates.


Looking for a strong individual contributor who can independently own and deliver end-to-end solutions with minimal guidance or support.

Job Summary
We are seeking an AI Engineer with a strong software engineering background to design, build, and deploy production-grade AI applications. The ideal candidate should have hands-on experience developing scalable backend systems, integrating AI/LLM solutions, and deploying cloud-native applications. This role is focused on engineering and application development rather than traditional Data Science or predictive analytics.
Required Skills

  • Strong programming experience in  Python
  • Experience building  REST APIs using  FastAPI or  Flask
  • Hands-on experience with  LLMs, Agentic AI, RAG, LangChain, LangGraph, or MCP
  • Experience developing and deploying production AI applications
  • Strong understanding of  software engineering principles, backend development, and microservices
  • Experience with  Docker, Kubernetes, and CI/CD
  • Cloud experience with  GCP, AWS, or Azure
  • Familiarity with SQL, databases, and version control (Git)
Preferred Qualifications
  • Experience with vector databases such as  PGVector, Pinecone, FAISS, or ChromaDB
  • Knowledge of AI orchestration frameworks and LLMOps
  • Experience working in Agile development environments
Ideal Candidate Profile
  • Strong  Software Engineering + AI experience.
  • Experience building, deploying, and maintaining production AI solutions.
  • Professional AI engineering experience is required.

Note: Candidates whose experience is primarily in  Data Science, statistical modeling, forecasting, analytics, or academic AI projects are not the right fit for this role. Preference will be given to candidates with strong engineering and production AI development experience.

Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

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About the Company

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Danta Technologies