Senior Full Stack GenAI Engineer

An International company, located in Plano, TX is seeking a Senior GenAI Engineer

for a 6+ month contract role.

• Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
• Fine-tune foundation models using domain‑specific data.
• Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
• Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
• Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
• Monitor and optimize model performance, latency, and cost.
• Use techniques like quantization, distillation, and caching to improve efficiency.
• Stay ahead of GenAI trends and emerging technologies.
• Drive experimentation with new models, agents, and frameworks (Lang Chain, Llama Index, OpenAI, Anthropic, etc.).
• Ensure compliance with data privacy, security, and regulatory standards.
• Evaluate and select appropriate model types (open‑source vs proprietary) based on business needs.
• Lead hands‑on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies.
• Make informed architectural trade‑offs based on business needs, performance, cost, and long‑term maintainability.
• Contribute reusable patterns and documentation that support solution delivery across teams.
• Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling.
• Full Stack 5 years - Java / Python, CI / C pipelines must
• At least 2 years should be with Gen AI tools and framework.
• AWS - Must*

• Highlight Top 3-5 skills
• 10+ years of software engineering and development experience*
• Proven experience in building and deploying GenAI applications in production.
• Strong programming skills in Python / JAVA and familiarity with GenAI libraries (Transformers, Lang Chain, Hugging Face, etc.).
• Deep understanding of LLMs, embeddings, vector databases (FAISS, Pinecone, Weaviate).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with CI / CD for ML workflows and versioning tools like MLflow or DVC.
• Knowledge of prompt engineering, few‑shot learning, and agent‑based systems.
• Hands‑on experience designing and building cloud‑native solutions (preferably on AWS).
• Experience with modern architecture styles: microservices, APIs, event‑driven systems.
• Strong ability to articulate technical solutions, trade‑offs, and system behavior to both technical and non‑technical stakeholders.
• Added bonus if you have (Preferred):
  Exposure to GenAI tools and frameworks (LLMs, vector databases, prompt orchestration, Lang Chain, Bedrock)
• Familiarity with AWS AI / ML services (Sage Maker, Bedrock, Comprehend, Lex).
• AWS AI certification
• Financial Services experience