| Position Responsibilities |
Job Title:- Full Stack Platform Engineer with GenAI (Python and React)
Location:- Spring Texas (On-Site)
Job Type:- Long Term Contract
Only local – No relocation
Oil & gas preferred
Responsibilities:
- We are seeking a Full Stack Developer who will contribute to building scalable backend services including platform and utility modules supporting ‘Global Trading Application’. You will also play an active role in implementing GenAI use cases using modern agentic frameworks.
- You will collaborate with product owner, trading fusion developers, data engineers, and other full stack developers across regions.
Responsibilities?:?
Platform Engineering & Support
- Develop, enhance, and support components of the Global Trading App platform
- Implement monitoring, alerting, and telemetry capabilities using modern observability tools
- Improve platform reliability, scalability, and performance through proactive engineering
- Author infrastructure-as-code using Terraform for cloud resources
Application & Service Development
- Build secure and scalable backend APIs (primarily in Python / FastAPI)
- Create responsive and efficient React-based UI components
- Develop reusable utility modules for fusion teams to accelerate delivery
GenAI & Agentic Solutions
- Implement GenAI-powered features using LLMs, vector databases, and multi-agent frameworks
- Develop “agentic” workflows for automation, troubleshooting, and developer productivity
- Build model integration and evaluation
Collaboration & Standards
- Contribute to engineering best practices and documentation
- Work closely with global trading fusion teams to ensure alignment and technical excellence
Qualifications?:
- Python (advanced): APIs, data processing, async programming
- React: modern component-based UI development
- FastAPI: building high performance backend services
- DBT: data engineering and transformation
- GitHub/CI/CD: strong version control and build pipeline experience
Preferred Skills:
- Terraform, Azure, AWS: infrastructure provisioning and automation
- Databricks, Snowflake
- GenAI / Multi-Agent
- Experience implementing solutions using LLMs, embeddings, prompt engineering
- Familiarity with agentic coding frameworks (e.g., LangChain, AutoGen, OpenAI agents, etc.)
- Understanding of RAG, model orchestration, and AI application patterns
Soft Skills:
- Strong problem-solving skills and ownership mindset
- Ability to work in global, cross-functional teams
- Clear communication and documentation abilities
- Comfort operating in fast-paced, high-availability environments
- Adaptability and willingness to learn new technologies and methodologies
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