Offer summary

Qualifications:

5+ years of Python development experience, Bachelor's degree in Computer Science or related field, Proficiency in FastAPI and Flask, Experience with LLM integration, Knowledge of asynchronous programming.

Key responsibilities:

Develop and maintain APIs using Python

Integrate LLMs and manage API responses

Implement asynchronous programming for background tasks

Set up caching mechanisms for performance improvements

Manage databases and handle diverse data types

Quantum Strides is an IBM Sustainability Software Business Partner specializing in solutions for Real Estate & Asset management, Capital Projects, Space & Move management, Operations & Maintenance and Sustainability. We are innovators and problem-solvers at heart. Using technology to tackle complex challenges and to deliver efficiencies for our customers is the bedrock of our culture and what we do best.Headquartered in the Washington DC metro area and consisting of a highly skilled workforce in the United States, we are a reliable partner for several Fortune 500 customers and Government entities. Additionally, our state-of-the-art development and test teams in India and talent pool in Canada, places us in a unique position to serve our clients across diverse geographical regions.Quantum Strides is considered an IBM TRIRIGA expert and has nearly a decade of experience in implementing, upgrading, and supporting the IBM TRIRIGA Application & Platform. Furthermore, we provide a highly skilled Maximo workforce to support IBM Maximo implementations and upgrades. Additionally, as an IBM Envizi partner, we help organizations with scope 1, 2 and 3 ESG reporting. Quantum Strides is also a ServiceNow (SNOW) partner specializing in IT Service Management (ITSM), IT Asset Management (ITAM) and has expertise in integrating SNOW to IBM technologies to provide customers with the best of both worlds.

Job description

We are looking for a skilled AI Developer with strong expertise in Python, LLM integration (Open AI - GPT), and API development. You will be responsible for building and maintaining scalable APIs, integrating large language models (LLMs), handling asynchronous tasks, and implementing caching solutions for optimized performance. The role involves working with backend technologies, cloud services, and modern databases.

Key Responsibilities:

Develop and maintain APIs using Python (FastAPI, Flask).
Integrate LLMs (OpenAI API, GPT-4) and manage responses.
Implement asynchronous programming with Asyncio and Celery for background tasks.
Set up caching mechanisms using Redis or Memcached for improved performance.
Manage databases (PostgreSQL, MongoDB) and handle structured/unstructured data.

Required Skills:

Proficiency in Python and backend frameworks (FastAPI, Flask).
Experience in LLM integration (OpenAI API, LangChain).
Knowledge of asynchronous programming and task management (Asyncio, Celery).
Hands-on experience with data caching (Redis, Memcached) and database management (PostgreSQL, MongoDB).

Desired Skills:

Familiarity with cloud platforms (AWS Lambda, Docker).
Experience with CI/CD tools (GitHub Actions, Jenkins) and monitoring systems (Prometheus, Grafana).

Qualifications: