AI Software Engineer

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.

Eager 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.

Hands-on experience building and deploying applications using a public cloud environment, preferably AWS.

Demonstrated experience with building Flask/FastAPI based REST APIs and applying design patterns and object-oriented programming principles to solutions.

Advanced proficiency in 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.

Demonstrated experience working with cloud AI managed services like AWS 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 designing and maintaining CI/CD pipelines and proficiency with CI/CD tools (Jenkins preferred).

Strong communication skills and ability to document and provide technical/implementation details.

Proven understanding/experience of cloud networking, virtualization, storage, containers, serverless architecture/framework, cloud IAM controls and policies.

Experience managing systems using infrastructure as code tools (CloudFormation, Ansible, Terraform, ARM, ).

Demonstrated experience with writing automated tests.

Experience executing the Software Development Lifecycle in an agile environment.

Experience with fine-tuning large language models is a plus.