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** We will NOT accept 3rd Party (C2C) Contractors **
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JOB DETAILS:
Position:Sr. GenAI Engineer
JOB REF#:
Duration:6-12 Months (On-going contract)
Location:HYBRID - Plano, TX 75024
Pay Rate:OPEN/MARKET RATE (W2 ONLY)
HYBRID - Must be able to work ONSITE 3 day per week (TUE-THUR) - LOCAL CANDIDATES ONLY!
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.
Senior Full Stack Gen AI Engineer with hands-on experience in building and deploying applications using Python and Java, developing CI/CD pipelines, working with modern architectures (microservices, APIs), supporting business applications, and contributing to AI platform development and testing frameworks (RAGAS, DeepEval).
RESPONSIBILITIES INCLUDE:
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 explain ability.
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, 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.
IDEAL CANDIDATES WILL HAVE THE FOLLOWING SKILLS:
10 years relevant experience
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)
Full Stack Experience 5+ years - Java/Python, CI/CD pipelines must
Gen AI Framework and Tool 3+ years.
Experience with AWS
REQUIRED SKILLS/EXPERIENCE:
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, LangChain, Hugging Face, etc.).
Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) 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
DESIRED SKILLS:
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
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Calance Consultant Benefits Offerings:
- EPO/PPO Medical Plans
- HMO/PPO Dental programs
- Vision - VSP (Vision Plan Summary)
- 401K Retirement vesting program (VOYA)
- Paid Bi-Weekly/Direct Deposit
- Flex Spending Plan
- Voluntary Life, AD&D, STD or LTD plans
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxbcsi
- Position Id: Job43965
- Posted 1 day ago
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