Senior Python Developer with AI

Participate in creating solutions for functional and non-functional requirements

Collaborate with the Scrum team in an agile development environment

Contribute to continuous improvement of SDLC processes and methodologies

Develop solutions with scalability and flexibility in mind

Ensure development delivery meets expectations as defined in a User Story

Attend and actively participate in all Sprint meetings (Refinement, Planning, Stand-up and Retrospective)

Accountable to accept and deliver work within each sprint that closely matches planned capacity; escalate to Scrum Master and/or manager if there is an insufficient number of User Stories in the backlog to achieve this.

Quickly identify roadblocks/impediments and escalate to the Tech Lead or Scrum Master

When engaged by Operations, assist with root cause analysis and resolution of production Incidents.

AI Model Integration & Development

Build and integrate LLM-based solutions using OpenAI, Gemini, and GPT-4.0.

Implement structured prompt engineering and Retrieval-Augmented Generation (RAG) for context-aware responses.

Backend Engineering

Develop robust APIs and microservices using FastAPI and FastMCP.

Ensure high-performance data flow between AI models and application layers.

Data Management

Design and optimize relational schemas in PostgreSQL for AI-driven applications.

Implement secure data pipelines for training and inference.

Cloud Deployment

Architect and deploy AI workloads on GCP, leveraging Vertex AI and related services.

Optimize infrastructure for scalability and cost efficiency.

Quality & Reliability

Apply best practices for testing, validation, and monitoring of AI systems.

Ensure compliance with ethical AI principles, including fairness and transparency.

Collaboration

Partner with product, data engineering, and research teams to deliver enterprise-grade AI solutions.

Mentor junior engineers and contribute to internal AI knowledge bases.