Senior Full Stack GenAI Engineer

Senior Full Stack GenAI Engineer
12 months
Location: Plano, TX

The hiring manager is looking forward to onboard Senior Full Stack Gen AI Engineer, someone who has all the experience of working with building software, deploying applications, hands on with Python/JAVA, creating CI/CD pipelines, experience with modern architecture styles: microservices, APIs.
o The team will be working on current projects, business applications, responsible to influence the platform, AI testing framework (RAGAS, DeepEval).
o Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
o Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
o Full Stack Experience 5-6 years, Gen AI Framework and Tool 3+ years. Total experience 10 years. AWS - Highly preferred.
o 6-12 months months contract with possibility of extension/conversion.
o This will be a hybrid position (3 days in office Tue -Thu), please submit local candidates.

Interview Process:
o 1st Round- MS Teams 1st round Technical Screening 30 Minutes
o 2nd Round Onsite 1 hour, might include coding as well.

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

Requirements:
Qualifications/ What you bring (Must Haves) Highlight Top 3-5 skills
o 10+ years of software engineering and development experience
Proven experience in building and deploying GenAI applications in production.
o Strong programming skills in Python/JAVA and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
o Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
o Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
o Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
o Knowledge of prompt engineering, few-shot learning, and agent-based systems.
o Hands-on experience designing and building cloud-native solutions (preferably on AWS)
o Experience with modern architecture styles: microservices, APIs, event-driven systems
o Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders

Added bonus if you have (Preferred):
o Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
o Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
o AWS AI certification
o Financial Services experience