AI Full Stack Engineer

Immediate need for a talented AI Full Stack Engineer. This is a 12+months contract opportunity with long-term potential and is located in Merrimack, NH/Boston, MA/Westlake, TX(Hybrid). Please review the job description below and contact me ASAP if you are interested.
 
Job ID:25-65561
 
Pay Range: $70 - $75/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Requirements and Technology Experience:

• Key Skills: Experience working with large language model frameworks like Langchain/LlamaIndex.
• Understanding of RAG(retrieval-augmented generation) architecture and proven ability to build advanced applications leveraging the architecture.
• Experience with prompt engineering and applying techniques to build efficient applications.
• Understanding of the large language model development, design, testing, deployment, and familiarity with LLMOps.
• Experience working with large language model frameworks like Langchain/LlamaIndex.
• Understanding of RAG(retrieval-augmented generation) architecture and proven ability to build advanced applications leveraging the architecture.
• Experience with prompt engineering and applying techniques to build efficient applications.
• Understanding of the large language model development, design, testing, deployment, and familiarity with LLMOps.
• Bachelor’s degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.)
• 5+ years of software engineering experience
• Certifications preferred: AWS Solutions Architect, AWS Developer, or Kubernetes Application Developer.
• Passion for excellence, automation, innovation, and collaboration.
• Highly motivated to learn new technologies, ways of working, and to adapt every day.
• Bring curiosity and a questioning mind-set to work, injecting new points of view to the team.
• Ability to triage, execute root cause analysis, and be decisive under pressure.
• Ability to creatively solve new, interesting problems in a dynamic environment.
• Ability to work with a variety of individuals and groups, both in person and virtually, in a constructive and collaborative manner and build and maintain effective relationships.
• Ability to act confidently and cautiously in break-the-glass production scenarios to resolve customer outages.
• Solid understanding/experience of networking, virtualization, storage, containers, serverless architecture/framework, cloud IAM controls and policies.
• Strong understanding of Kubernetes concepts/ecosystem and deploying applications into EKS.
• Hands-on experience building and deploying applications using a variety of Amazon Web Services (primarily Cloud Formation, compute, EBS volumes and container).
• Proven experience of building Engineering solutions/automations to enforce engineering standards and best practices.
• Full-stack development experience across distributed applications and services.
• Demonstrated experience with building Flask/FastAPI based REST APIs and applying design patterns to solutions.
• Advanced proficiency in object-oriented python programming and experience working with libraries like numpy, pandas and NLP (natural language processing) frameworks.
• Experience working with large language model frameworks like Langchain/LlamaIndex.
• Understanding of RAG(retrieval-augmented generation) architecture and proven ability to build advanced applications leveraging the architecture.
• Experience working with Vector Databases and being able to query them with programming languages. Bedrock/SageMaker, AWS CloudWhisperer, and integrating large language models like Azure OpenAI, Google Vertex and open-source models.
• Experience with prompt engineering and applying techniques to build efficient applications.
• Understanding of data structures, algorithms and application of core data science techniques and exploratory data analysis (EDA) skills.
• Understanding of the large language model development, design, testing, deployment, and familiarity with LLMOps.
• Experience with fine-tuning large language models is a plus.
• Hands-on experience with containers and container orchestration preferred.
• Experience managing systems using infrastructure as code tools (CloudFormation, OpenTofu, ARM, Ansible …).
• Understanding of versioning and release practices (SCM), code collaboration practices (Git.
• Proficiency with CI/CD tools, especially JenkinsCore.
• Experience executing the Software Development Lifecycle in an agile environment.

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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