Senior Full Stack GenAI Engineer

Job Title: Senior Full Stack GenAI Engineer

Duration: 6 months Contract

Location: Plano TX

Pay Rate: $105 hourly

RM Notes:

o 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 were looking for

Client is seeking a Senior GenAI Engineer Initiatives to drive the design of secure scalable and modern applications with a strong emphasis on AI and GenAI-enabling technologies. This is a senior-level individual contributor role within the Architecture organization focused 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 good scalable GenAI Solutions.

What youll 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 GCP) 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