Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 month(s)
No Travel Required
Skills
AI
ML
LangChain
Mongo
Job Details
Job Title: AI Engineer
Location: Dallas, TX
Duration: 12 Months Contract
Work Mode: Hybrid (3 days onsite per week)
Job Description:
Job Summary:
We are seeking an AI Engineer to design and deliver end-to-end, enterprise-grade AI solutions. The ideal candidate has strong Python and API development experience, hands-on exposure to agentic AI systems, and expertise deploying AI workloads on AWS.
Must have skills:
- Python integration with API development
- Agentic AI
- Data Storage & Modeling
- AWS (no azure)
Key Responsibilities:
- Build backend services, AI workloads, orchestration layers, and agentic systems using Python
- Design and integrate secure enterprise APIs using .NET/C#
- Develop scalable front-end applications using Angular and TypeScript
- Implement LLM-based solutions including prompt engineering, embeddings, vector search, and multi-step workflows
- Design and optimize agentic architectures using frameworks like LangChain/LangGraph
- Deploy and operate full-stack AI solutions on AWS
- Collaborate with cross-functional teams to deliver high-quality, production-ready AI applications
Required Skills & Qualifications:
- Strong Python engineering with API development experience
- Hands-on experience with agentic AI and LLM-based systems
- Data storage and modeling experience with Snowflake, SQL, MongoDB, and/or Neo4j
- Experience with event-driven systems (Kafka)
- Cloud experience on AWS (required; no Azure)
- Familiarity with CI/CD, security, and scalable enterprise deployments
- Strong communication skills and ability to own solutions end-to-end
Preferred:
- Experience with Angular/TypeScript front-end development
- Exposure to enterprise AI frameworks and observability tools
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.