- Be currently located in the United States for the current three consecutive years.
- Be US Citizen or US Person (Green Card Holder) with the ability to obtain a Public Trust Clearance..
- Key contributor in developing and implementing business solutions to address requirements, optimize efficiency, and deliver real content seamlessly.
- Apply in-depth skills and broad knowledge to develop and implement machine learning systems to improve and streamline firm operations.
- Write eloquent, reusable code that effectively solves problems.
- Integrate with existing cloud services to solve complex extraction problems, such as analyzing and searching documents at scale.
- Also working with:
* Backend server routing โ including localized nginx
* Storage of Chat History in Database
* Storage of Documents in Database and Blob Storage
* Security Documentation
* LLM Orchestration (calling tools or agents)
* Prompt Engineering
- Active Public Trust Clearance or Ability to obtain a Public Trust Clearance
- Bachelorโs Degree and a minimum of 12 years of technical experience. 4 additional years of experience considered in lieu of degree.
- At least 8 years of application development experience
- Proven development experience with client-server / distributed systems / cloud computing.
- Hands on Experience in using AI/ML models, chatbots and robotics to help internal teams promote diverse business outcomes and drive innovation.
- Strong collaboration skills and desire to work within a team.
- Ability to work in a fast paced, constantly changing environment.
- Works well with limited oversight.
- Required Technical Skills: Python, JavaScript, Other object-oriented programming languages, React.js, and Cloud Architecture
Additional Technical Skills:
- Backend server routing โ including localized nginx
- Storage of Chat History in Database
- Storage of Documents in Database and Blob Storage
- Security Documentation
- LLM Orchestration (calling tools or agents)
- Prompt Engineering
- Database Management (SQL, NoSQL)
- API Development and Integration
- Natural Language Processing (NLP) techniques
- Containerization (Docker, Kubernetes)
- CI/CD Pipelines
- Monitoring and Logging tools (e.g., ELK stack, Prometheus, Grafana)
- Knowledge of privacy and security measures for handling sensitive data
TBD