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Location: Dallas, Texas (TX)
Contract Type: C2C
Posted: 2 weeks ago
Closed Date: 02/05/2026
Skills: Python, Angular, TypeScript, LLMs, Azure AI Foundry, Azure OpenAI, GenAI, Machine Learning,SQL,Langchain,Neo4j
Visa Type: H1B

Position: AI Engineer

Location: Dallas, TX (3 days work from office)

Duration: 12+ months contract


13+yrs


H1B ONLY


Job Description:

Mandatory Skills: Python, Angular, TypeScript, LLMs, Azure AI Foundry, Azure OpenAI, GenAI, Machine Learning,SQL,Langchain,Neo4j


Technical Skills:

·       Python Engineering: Strong experience building backend services, AI workloads, orchestration layers, and agentic systems using Python.

·       .NET/C# Systems Integration: Skilled in developing enterprise-grade APIs and service layers using .NET/C#, including secure integration with internal platforms.

·       Front-End Development: Proficient with Angular and TypeScript for building modern, scalable, and user-friendly front-end applications.

·       AI & LLM Engineering: Hands-on experience with LLMs, prompt engineering, vector search, embeddings, evaluation techniques, and multi-step workflows.

·       Agentic Architectures: Familiar with enterprise agent frameworks and tools such as LangChain, LangGraph, and LangSmith for designing, observing, and optimizing AI workflows.

·       Data Storage & Modeling: Practical experience with Snowflake (analytics workloads), SQL (schema design & querying), MongoDB (document storage), and Neo4j (graph reasoning).

·       Event Streaming: Knowledge of Kafka for event-driven communication and real-time system processing.

·       Cloud Deployment: Capable of designing and deploying full-stack AI solutions across AWS (primary), with additional exposure to Azure and GCP.

·       API Lifecycle Management: Experience using Azure APIM for API management, governance, and secure platform integration.

·       Infrastructure & DevOps Awareness: Comfortable with hosting, scaling, CI/CD best practices, authentication/authorization, and secure deployment patterns in enterprise environments.