Job description

Key Responsibilities • Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. • Develop REST APIs and scalable enterprise solutions. • Build AI-powered data analytics and self-service platforms. • Optimize data pipelines for performance and scalability. • Collaborate with Risk stakeholders to deliver AI-driven solutions. • Provide technical leadership, architecture guidance, and mentor engineering teams. Required Skills • Strong Python development with FastAPI or Flask. • Experience building production-grade AI/LLM applications. • Solid SQL, data modeling, and data engineering fundamentals. • Expertise in concurrency, asynchronous programming, and performance optimization. • Experience with testing, production support, and system reliability. • Strong architectural design and technical leadership skills. Preferred Skills • Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions. • Docker, Kubernetes, Kafka, Redis. • OpenTelemetry, Grafana, Prometheus. • CI/CD (Jenkins, GitHub Actions), DevOps/GitOps. Qualifications • Bachelor's/Master's in Computer Science or equivalent. • 8+ years of software engineering experience.

Requirements

Must-haves

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Develop REST APIs and scalable enterprise solutions.
Build AI-powered data analytics and self-service platforms.
Optimize data pipelines for performance and scalability.
Collaborate with Risk stakeholders to deliver AI-driven solutions.
Provide technical leadership, architecture guidance, and mentor engineering teams.
Strong Python development with FastAPI or Flask.
Experience building production-grade AI/LLM applications.
Solid SQL, data modeling, and data engineering fundamentals.
Expertise in concurrency, asynchronous programming, and performance optimization.
Experience with testing, production support, and system reliability.
Strong architectural design and technical leadership skills.
Bachelor's/Master's in Computer Science or equivalent.
8+ years of software engineering experience.

Nice-to-haves

Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions.
Docker, Kubernetes, Kafka, Redis.
OpenTelemetry, Grafana, Prometheus.
CI/CD (Jenkins, GitHub Actions), DevOps/GitOps.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaillmrestsqldockerkubernetesci/cd

Platform: jobdiva
Effort: medium