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Python React Full Stack Jobs in Dallas, TX (NOW HIRING)

Full-Stack AI Engineer Location: Dallas, TX or Tampa, FL or Basking Ridge, NJ MUST-HAVES ----- - 4 ... React , TypeScript, Python, Node.js, FastAPI, PostgreSQL / Cloud SQL, Docker, Cloud Run Graph ...

Full stack (React+NiFi+SQL) Job Location: Plano, TX Job Type: Contract * 7+ years of experience in implementing designing solutions using React technology. * Mandatory (Primary) Skills * NiFi, React ...

Full-Stack Developers Type: Contract-to-Hire Location: Hybrid - Dallas Tech Hub (Dallas, TX) or ... Candidates must be able to work across the stack, from front-end development in React to backend ...

Java Full stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Secondary: UI - React JS, ECMA 6 etc. * Good to Have: Machine Learning ( Llama, Python etc). * Experience: Minimum 7 years. * This is a Full stack Software Development Engineer role. The Team builds ...

Looking for Full Stack Java - Java/Spring/Microservices - Oracle DB - SQL - Looking for at least SOME React experience on the front end - Should have exposure to AWS/Cloud preferred

React * AWS Requirements: * Strong hands-on full stack development experience * Experience building scalable enterprise applications * Good communication and problem-solving skills

React experience is a plus. * Experience designing and operating event-driven systems with Apache ... Exposure to Python and frameworks such as Django, Flask, or FastAPI. * Experience with design ...

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Python React Full Stack information

See Dallas, TX salary details

$58.9K

$128.4K

$181.5K

How much do python react full stack jobs pay per year?

As of Jun 18, 2026, the average yearly pay for python react full stack in Dallas, TX is $128,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $149,400.00 per year, depending on experience, location, and employer.

What is the difference between Python React Full Stack vs Python Backend Developer?

AspectPython React Full StackPython Backend Developer
Primary FocusFront-end and back-end development using React and PythonBack-end development primarily with Python
Skills RequiredPython, React, HTML, CSS, JavaScript, REST APIsPython, Django/Flask, SQL, APIs
Work EnvironmentFull-stack projects, collaborative teams, client-facingBack-end systems, server-side logic, database management
Common UsageStartups, tech companies, full-stack rolesBackend services, API development, data processing

While both roles involve Python, Python React Full Stack professionals handle both front-end and back-end tasks, especially with React, whereas Python Backend Developers focus solely on server-side logic and database management. The full-stack role requires knowledge of front-end technologies, making it broader in scope.

What cities near Dallas, TX are hiring for Python React Full Stack jobs? Cities near Dallas, TX with the most Python React Full Stack job openings:
Full-Stack AI Engineer

Full-Stack AI Engineer

Incedo Inc.

Dallas, TX • Hybrid

Other

Posted 9 days ago


Job description

About Incedo:

Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast growing clients worldwide, we work across banking & payments, wealth management, telecom, hitech and life sciences.


Please visit the link to know about Incedo: https://www.incedoinc.com/


Full-Stack AI Engineer

Location: Dallas, TX or Tampa, FL or Basking Ridge, NJ


MUST-HAVES

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- 4 years of professional software development experience across frontend and backend.

- Proficiency in React, Python, and Node.js.

- 2 years hands-on experience with a graph database (Spanner Graph, Neo4j, or similar) including schema design and query writing.

- Strong experience with Google Cloud Platform (GCP) - Vertex AI, Cloud Run, BigQuery, Pub/Sub, Load Balancer and GCS.

- Comfortable with Elasticsearch for full-text and hybrid search, including index design, mappings, and query DSL.

- Comfortable with SQL (BigQuery / Cloud SQL) and working knowledge of vector databases (Vertex AI Vector Search, pgvector, Pinecone, etc.).

- Solid grasp of RAG architectures: chunking, embedding, vector search, reranking, deduplication and retrieval evaluation.

- Experience consuming LLM APIs (function calling, streaming, structured outputs) - Vertex AI / Gemini or Anthropic / OpenAI.

- Understanding of Graph RAG concepts - using graph structure to augment LLM context, with at least one implementation productionized.

- Hands-on experience building agentic workflows with LangGraph - state machines, multi-agent graphs, tool nodes, and human-in-the-loop patterns.

- Experience using Galileo for LLM evaluation, hallucination detection, and RAG quality monitoring.



NICE-TO-HAVES

-------------


- Experience with Spanner Graph, LlamaIndex Property Graph, or similar graph-native RAG frameworks.

- Familiarity with entity extraction and NLP pipelines for automated graph population (spaCy, Gliner, etc.).

- Exposure to graph algorithms: PageRank, community detection, shortest path, centrality measures.

- Background in ontology or knowledge management work.

- Familiarity with GCP pipelines

- Experience with LangChain / LangGraph.



TECH STACK

----------


Fullstack:

React , TypeScript, Python, Node.js, FastAPI, PostgreSQL / Cloud SQL, Docker, Cloud Run


Graph & Data:

Spanner Graph, Neo4j, Cypher, Memgraph, pgvector, Pinecone, Vertex AI Vector Search, Elasticsearch


AI & Retrieval:

Vertex AI / Gemini, Anthropic / OpenAI APIs, LangGraph, LangChain.


Evaluation & Observability:

Galileo, Google Cloud Logging, Cloud Monitoring


Cloud:

Google Cloud Platform (GCP) - Vertex AI, BigQuery, GCS, Cloud Run