Full Stack Software Engineer with AI

Job description

Bravens Inc., a wholly owned subsidiary of Ampcus Inc., is an information technology consulting and services company.

Bravens is a leader in providing tailored staffing solutions across both IT and non-IT industries.

We are in search of a highly motivated candidate to join our talented team and contribute to our ongoing success.

 

Job Title: Full Stack Software Engineer with AI

Location(s): Austin, TX (Remote)

• We are seeking an innovative Full Stack Engineer to AI inclusive applications.


• These descriptions build upon your existing requirements, integrating AI-specific responsibilities, skills, and qualifications.


• Join our team, dedicated to developing cutting-edge applications leveraging Retrieval-Augmented Generation (RAG) and other AI technologies.


• You will build end-to-end Title: Full Stack Engineer (AI/RAG Applications).

Key Responsibilities:



 

• Design, build, and maintain scalable full-stack solutions.


• Integrating sophisticated AI models and advanced data retrieval mechanisms into intuitive, scalable, and responsive applications.


• Applications integrating Retrieval-Augmented Generation (RAG)-based AI solutions.


• Develop responsive, intuitive user interfaces leveraging modern JavaScript frameworks (React, Angular).


• Design, build, and maintain AI-driven full-stack applications leveraging Retrieval-Augmented Generation (RAG, Vue) to deliver seamless AI-driven user experiences.


• Build robust backend APIs and microservices that interface with AI models,) and related AI technologies vector databases, and retrieval engines.


• Integrate Large Language Models (LLMs), embeddings, vector databases, and search algorithms.


• Collaborate closely with AI/ML specialists, product owners, and UX designers to translate complex AI capabilities into user-friendly interfaces.

Implement robust into applications:

• Collaborate closely with data scientists, machine learning engineers, and product teams to define APIs and backend services to requirements, optimize AI integration, and deliver innovative features support RAG model integrations and real-time data retrieval.


• Develop responsive front-end interfaces utilizing modern frameworks.


• Create and manage RESTful and GraphQL APIs to facilitate efficient, secure data exchange between frontend (React, Angular, Vue) that seamlessly interact with AI backend services.


• Ensure robust security measures, scalability, and performance components, backend services, and AI engines.


• Participate actively in code reviews, architecture decisions, and Agile ceremonies, ensuring best practices in software engineering and optimization of AI-integrated applications.


• Participate actively in code reviews, technical design discussions, and agile ceremonies.

Continuously AI integration.

• Troubleshoot, debug, and enhance performance of both frontend and backend systems, focusing on AI latency.


• Accuracy explore emerging AI trends and technologies, proactively recommending improvements, and scalability.

Qualifications:



 

• Bachelor’s degree in computer science, Engineering, or a related technical discipline.


• 3+ years of experience in full-stack software engineering, with demonstrated, Engineering, or related discipline.


• Minimum of 3+ years of experience in full-stack software development.


• Proficiency experience integrating AI/ML services.


• Strong proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks such as React, Angular, or Vue.js.


• In frontend technologies (HTML, CSS, JavaScript Backend development expertise with Node, React, Angular, Vue).


• Strong backend.js, Python, Java, or .NET, particularly experience building RESTful APIs and microservices.

Skills Required:



 

• Node.js.


• Python.


• Java, or .NET.

·

Experience:



 

• Hands-on experience integrating AI/ML models, particularly NLP.


• Experience integrating AI and NLP models, including familiarity with Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, or similar frameworks.


• Proficiency with relational-based Large Language Models (e.g., GPT, BERT, LLaMA).


• Familiarity with RAG architectures, vector databases (e.g., Pinecone, We and NoSQL databases (PostgreSQL, MongoDB, etc.) and familiarity with vector databases (aviate, Milvus), and embedding techniques.


• Experience with RESTful APIs, GraphQL, microservices, and cloud-native architecture (AWS, Azure, GCP) e.g., Pinecone, Chroma, Weaviate) is a plus.


• Solid understanding- Solid understanding of databases (SQL/NoSQL) and data modeling best practices.· Experience with version control systems (Git), CI/CD pipelines, and containerization (Docker of version control (Git) and CI/CD pipelines.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

Required Skill Profession

Other General