Full Stack AI Engineer
Jobs via Dice · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Design and build AI agents and Gen AI applications.
- Develop front-end with Angular and back-end with Python.
- Deploy solutions on AWS EKS using Kubernetes.
- Integrate LLMs and other AI models.
- Collaborate with diverse technical teams.
About the role
Full Stack AI Engineer
Apetan Consulting, a client of Dice, is seeking two highly experienced hands-on Full Stack Engineers to design and develop cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Angular for front-end development and Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, UX designers, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Key Responsibilities:
- Architect and implement scalable Full Stack AI Agents, Agentic Workflows, and Gen AI applications to address diverse and complex business use cases.
- Develop, optimize, and maintain the front-end using Angular, ensuring a seamless user experience.
- Design and deploy Python-based microservices for robust orchestration and integration with AI models.
- Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
- Implement solutions leveraging modern design patterns and best practices for full stack development.
- Build and maintain RESTful APIs to enable seamless communication between the front end and back end.
- Collaborate with cross-functional teams of UI/UX designers, data engineers, and Gen AI scientists to build full-stack Gen AI experiences.
- Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
- Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
- 10+ years of experience in full stack development, with 3+ years in applied Gen AI or LLM-based solutions.
- Deep expertise in Angular, Python, and microservices architecture.
- Proven experience with cloud-native development, particularly AWS services.
- Strong programming skills and familiarity with AI/ML libraries and frameworks.
- Demonstrated ability to work in cross-functional agile teams.
Please provide Github link for candidate's code repository. Also, please vet the candidate thoroughly for technical skills.
Key skills/competency
- Full Stack AI Engineer
- AI Agents
- Agentic Workflows
- Gen AI Applications
- Angular
- Python
- Microservices
- AWS EKS
- Kubernetes
- LLMs
Skills & topics
- Full Stack Engineer
- AI Engineer
- Gen AI
- Angular
- Python
- AWS
- Kubernetes
- Microservices
- LLM
- RAG
How to get hired
- Tailor your resume: Highlight your experience with Angular, Python, AWS, and Gen AI solutions. Quantify achievements.
- Showcase your code: Provide a GitHub link demonstrating your full-stack and AI project contributions.
- Prepare for technical vetting: Be ready to discuss your experience with AI agents, LLMs, microservices, and AWS EKS.
- Understand the role: Emphasize your ability to work in cross-functional agile teams on complex business problems.
Technical preparation
Master Angular components, services, and state management.,Deepen Python knowledge for microservices and APIs.,Review AWS EKS and Kubernetes best practices.,Practice implementing RAG and LLM integrations.
Behavioral questions
Describe a complex business problem you solved.,How do you collaborate with non-technical teams?,Share an experience with agile development methodologies.,How do you ensure code quality and reliability?
Frequently asked questions
- What is the primary focus of the Full Stack AI Engineer role at Apetan Consulting?
- The primary focus is on designing and developing cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications to solve complex business problems, utilizing Angular for the front-end and Python microservices on AWS EKS for the back-end.
- What are the essential technical skills required for this Full Stack AI Engineer position?
- Essential technical skills include deep expertise in Angular, Python, microservices architecture, AWS services (particularly EKS/Kubernetes), and experience with AI/ML libraries, LLMs, RAG, and multi-modal AI.
- Does Apetan Consulting require a GitHub profile for the Full Stack AI Engineer application?
- Yes, Apetan Consulting specifically requests a GitHub link for the candidate's code repository to assess technical skills and project contributions.
- What level of experience is expected for the Full Stack AI Engineer role?
- The role requires 10+ years of full stack development experience, with at least 3 years specifically in applied Gen AI or LLM-based solutions.
- How will candidates be vetted for technical skills for the Full Stack AI Engineer job?
- Candidates will undergo thorough technical vetting, likely including code reviews, technical interviews, and discussions about their experience with AI agents, LLMs, microservices, and cloud-native development on AWS.
- What is the expected work arrangement for the Full Stack AI Engineer?
- While not explicitly stated, the nature of the role and collaboration with cross-functional teams suggests a hybrid or potentially remote arrangement, but it's best to confirm during the application process.
- What kind of AI models will the Full Stack AI Engineer work with?
- The engineer will collaborate with Gen AI scientists to integrate machine learning models such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-modal AI.