Angular Jobs in Dallas, TX

Salary: $124,658 - 179,431 per year

Requirements:

• Bachelors degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree preferred).
• Over 4 years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
• Proficiency in Python programming and strong SQL skills.
• Experience with Natural Language Processing (NLP) in Generative AI applications.
• Knowledge of agentic AI design and implementation, including tools like LangChain, LangGraph, and LlamaIndex.
• Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures.
• Strong capabilities in prompt engineering involving design, iteration, and assessment.
• Familiarity with vector databases such as Pinecone, Chroma, or FAISS for embedding-based retrieval.
• Background in training, fine-tuning, and validating Generative AI models; practical experience with LLM evaluation metrics.
• Proven experience in model deployment, monitoring, and production stabilization.
• Knowledge of container technologies (e.g., Docker) and scalable runtime environments.
• Competence in building ETL pipelines along with data engineering solutions focusing on data quality and curation.
• API development and integration experience, particularly with RESTful services; backend development using FastAPI or similar.
• Expertise in full-stack web development utilizing JavaScript/TypeScript.
• Proficiency in HTML/CSS including preprocessors (SASS/LESS).
• Familiarity with front-end frameworks such as React, Angular, or Vue.
• Understanding of UI/UX design principles including accessibility and responsive design.
• Experience with cloud AI/ML services on platforms like Azure, AWS, or GCP, including Vertex AI.
• Reside within a commutable distance from the assigned office, with the ability to commute daily if required.
• Expectation of co-location approximately 3 times a week, varying based on project requirements.
• Willingness to travel up to 50% based on work and client needs.
• Limited immigration sponsorship may be available.

Responsibilities:

• Drive the elicitation of business and technical requirements with client stakeholders, performing end-to-end gap analysis and translating needs into solution architecture, detailed technical specifications, and ready-to-deliver backlog artifacts.
• Lead the design, construction, testing, and deployment of comprehensive full-stack Generative AI applications, ensuring compliance with non-functional requirements such as security and performance.
• Direct the complete implementation of Retrieval-Augmented Generation (RAG), including ingestion, chunking, embedding, indexing, retrieval, and orchestration. Define prompt engineering standards and establish evaluation measures to enhance quality and minimize inaccuracies.
• Architect workflows for agentic AI, integrating tool-using agents with multi-step orchestration and multi-agent patterns into enterprise platforms while ensuring sufficient controls and auditability.
• Manage model training, fine-tuning, and validation processes; set up evaluation frameworks and key performance indicators (KPIs) focusing on quality, robustness, and cost/latency metrics, and conduct benchmarking for acceptance criteria fulfillment.
• Oversee the design of APIs and integration services, delivering scalable RESTful interfaces and coordinating system integrations, identity management, and operational workflows.
• Lead the delivery of extract, transform, load (ETL) and data engineering pipelines, collaborating with data governance teams on data lineage, access, and quality standards.
• Operationalize Generative AI deployments utilizing containerized solutions and cloud services; implement performance monitoring and drive continuous improvements through incident resolution and release management processes.
• Provide guidance on new Generative AI models and frameworks; prototype different options highlighting their pros and cons regarding value, delivery effort, compliance, and total cost of ownership (TCO).
• Collaborate effectively with cross-functional teams including product, engineering, data, and stakeholders to produce solutions that are ready for adoption and ensure proper documentation is provided.

Technologies:

• AI
• API
• AWS
• Angular
• Architect
• Azure
• Backend
• Cloud
• CSS
• Docker
• ETL
• FastAPI
• GCP
• JavaScript
• LESS
• LLM
• Python
• React
• SASS
• SQL
• Security
• TypeScript
• Vue
• Web
• UX UI Design
• IAM
• Keras
• Network
• PyTorch
• TensorFlow

More:

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last updated 18 week of 2026