What are the responsibilities and job description for the Artificial Intelligence Engineer position at Compunnel Inc.?
Role - Artificial Intelligence Engineer
Location - Dallas Texas
Hybrid - 2 weeks onsite a month
Must Have - Langchain, llamalndex, RAG and AWS
The Expertise and Skills You Bring
- Bachelor’s degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.)
- 8 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.
- Experience in defining and implementing a comprehensive cloud reliability and observability strategy, ensuring that Fidelity’s cloud systems are always available when our customers need them.
