Senior Full Stack GenAI Engineer

Our client is seeking a Senior Full Stack GenAI Engineer to help design, build, and deploy next-generation AI-driven applications. This hands-on role combines software engineering, architecture, and applied AI expertise to create scalable, secure, and modern solutions leveraging GenAI tools, LLMs, and AWS services.

The ideal candidate will have a strong full-stack foundation in Python and Java, extensive experience with microservices and CI/CD pipelines, and a passion for developing innovative AI-powered systems. This position offers the opportunity to shape the client's AI strategy and influence platform direction through experimentation, prototyping, and deployment of real-world GenAI applications.

Key Responsibilities

• Design and implement scalable GenAI architectures using large language models (LLMs), multimodal models, and retrieval-augmented generation (RAG).
• Develop and deploy AI-powered applications leveraging Python/Java, microservices, and cloud-native design patterns.
• Integrate AI and GenAI capabilities into enterprise applications using APIs, SDKs, and orchestration frameworks such as LangChain and Bedrock.
• Build and maintain CI/CD pipelines for AI and full-stack applications, ensuring automation, versioning, and efficient deployment.
• Fine-tune and optimize models using techniques such as instruction tuning, RLHF, quantization, and distillation.
• Experiment with emerging GenAI tools and frameworks (e.g., Hugging Face, LlamaIndex, DeepEval, RAGAS).
• Implement responsible AI practices, including bias detection, hallucination mitigation, and explainability.
• Collaborate with cross-functional product and architecture teams to align technical decisions with business goals.
• Stay ahead of industry trends and drive innovation within the GenAI and full-stack development ecosystem.
  
  

Required Qualifications

• 10 years of total software engineering experience, including 5 years full-stack development (Python/Java).
• 3 years working directly with GenAI frameworks and tools (e.g., LangChain, Hugging Face, Bedrock, vector databases).
• Hands-on experience building and deploying GenAI applications in production environments.
• Strong background in modern architecture styles - microservices, APIs, and event-driven systems.
• Expertise with AWS services (SageMaker, Bedrock, Comprehend, Lex) or equivalent cloud platforms.
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and ML workflow tools (MLflow, DVC).
• Strong understanding of LLMs, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Excellent communication and problem-solving skills with the ability to work collaboratively in cross-functional teams.
  
  

Preferred Qualifications

• AWS AI/ML certification.
• Familiarity with AI testing frameworks such as DeepEval or RAGAS.
• Financial services or large enterprise environment experience.
• Knowledge of prompt engineering, few-shot learning, and agent-based systems.
  
  

Role Details

• Location: Hybrid (3 days onsite in Plano, TX - Tuesday through Thursday)
• Contract: 6-12 months (possibility of extension or conversion)
• Interview Process:
• MS Teams - Technical Screening (30 min)
• Onsite - 1 hour (includes coding)