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.
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.
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.
