TalentBurst
Position
Senior Full Stack GenAI Engineer – Plano, TX (Hybrid)
Duration: 6 months to start with; 6‑12 months contract with possibility of extension.
Location: 3 days in office Tue – Thu; local candidates preferred.
Description This position will require export control form. The hiring manager is looking forward to onboarding a Senior Full Stack Gen AI Engineer, someone with experience in building software, deploying applications, hands‑on with Python/JAVA, creating CI/CD pipelines, and working with modern architecture styles such as microservices and APIs. The team will work on current projects and business applications, responsible for influencing the platform and AI testing frameworks (RAGAS, DeepEval). Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) and familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) are required. Full Stack experience – 5‑6 years, Gen AI framework and tool experience – 3+ years, total experience 10 years; AWS highly preferred.
Interview Process
1st Round – MS Teams – Technical Screening, 30 minutes
2nd Round – Onsite – 1 hour, which may include coding
Who we are Collaborative, respectful, a place to dream and do. These words describe life at client. We are one of the world’s most admired brands, growing and leading the future of mobility through innovative, high‑quality solutions that enhance lives and delight those we serve. We seek diverse, talented team members who want to Dream. Do. Grow. with us.
What we’re looking for Seeking a Senior GenAI Engineer to drive the design of secure, scalable, and modern applications with a strong emphasis on AI and GenAI technologies. This senior‑level individual contributor role is within the Architecture organization and focuses on delivering hands‑on solution designs and proofs‑of‑concept that bring innovative ideas to life. You will work closely with Domain Architects, product teams, and engineers to solve real business problems by developing scalable GenAI solutions.
What you’ll be doing
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 (e.g., LangChain, LlamaIndex, 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 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 of Java/Python experience; CI/CD pipelines required.
At least 2 years of experience with Gen AI tools and frameworks.
AWS experience – Must.
Requirements
10+ years of software engineering and development experience.
Proven experience building and deploying GenAI applications in production.
Strong programming skills in Python/JAVA and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Deep understanding of LLMs, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate).
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Familiarity with CI/CD for ML workflows and versioning tools such as 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
Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock).
Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex).
AWS AI certification.
Financial Services experience.
#J-18808-Ljbffr
Duration: 6 months to start with; 6‑12 months contract with possibility of extension.
Location: 3 days in office Tue – Thu; local candidates preferred.
Description This position will require export control form. The hiring manager is looking forward to onboarding a Senior Full Stack Gen AI Engineer, someone with experience in building software, deploying applications, hands‑on with Python/JAVA, creating CI/CD pipelines, and working with modern architecture styles such as microservices and APIs. The team will work on current projects and business applications, responsible for influencing the platform and AI testing frameworks (RAGAS, DeepEval). Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) and familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) are required. Full Stack experience – 5‑6 years, Gen AI framework and tool experience – 3+ years, total experience 10 years; AWS highly preferred.
Interview Process
1st Round – MS Teams – Technical Screening, 30 minutes
2nd Round – Onsite – 1 hour, which may include coding
Who we are Collaborative, respectful, a place to dream and do. These words describe life at client. We are one of the world’s most admired brands, growing and leading the future of mobility through innovative, high‑quality solutions that enhance lives and delight those we serve. We seek diverse, talented team members who want to Dream. Do. Grow. with us.
What we’re looking for Seeking a Senior GenAI Engineer to drive the design of secure, scalable, and modern applications with a strong emphasis on AI and GenAI technologies. This senior‑level individual contributor role is within the Architecture organization and focuses on delivering hands‑on solution designs and proofs‑of‑concept that bring innovative ideas to life. You will work closely with Domain Architects, product teams, and engineers to solve real business problems by developing scalable GenAI solutions.
What you’ll be doing
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 (e.g., LangChain, LlamaIndex, 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 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 of Java/Python experience; CI/CD pipelines required.
At least 2 years of experience with Gen AI tools and frameworks.
AWS experience – Must.
Requirements
10+ years of software engineering and development experience.
Proven experience building and deploying GenAI applications in production.
Strong programming skills in Python/JAVA and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Deep understanding of LLMs, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate).
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Familiarity with CI/CD for ML workflows and versioning tools such as 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
Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock).
Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex).
AWS AI certification.
Financial Services experience.
#J-18808-Ljbffr