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Python Fastapi Developer Jobs in Bellflower, CA (NOW HIRING)

East West Bank

Senior AI Engineering

Pasadena, CA · On-site

$150K/yr

... Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns. * Integrate AI capabilities into enterprise applications, developer workflows, knowledge ...

Prophecy Technologies

AI Backend Engineer

Rosemead, CA · On-site

... Stack Developer, with strong Python and AI/ML fundamentals. The position focuses on hands-on ... Implement Python microservices and APIs (FastAPI/Flask/Django) with clean contracts, versioning ...

US Bank

Credit Risk Python Architect

Irvine, CA · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model production platform. If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes ...

New

US Bank

Credit Risk Python Architect

Los Angeles, CA · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model production platform. If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes ...

Staffingine LLC

AI/ML Engineer

Los Angeles, CA · On-site

Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ... Experience deploying models using API frameworks such as FastAPI or Flask * Knowledge of MLOps ...

Commure

Staff Backend Engineer

Los Angeles, CA · On-site

... Python, Go, FastAPI, Flask, and other frameworks • Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact • Design and refine ...

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How much do python fastapi developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python fastapi developer in Bellflower, CA is $61.26, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $69.57 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Bellflower, CA? For Python Fastapi Developer jobs in Bellflower, CA, the most frequently searched job titles are:
What cities near Bellflower, CA are hiring for Python Fastapi Developer jobs? Cities near Bellflower, CA with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you
Senior AI Engineering

Senior AI Engineering

East West Bank

Pasadena, CA • On-site

$150K/yr

Full-time

Posted 19 days ago

Job description

Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview
East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will translate emerging AI capabilities into secure, scalable, production-ready banking applications that improve operational efficiency, risk management, customer experience, and employee productivity.
The role is expected to be hands-on at the outset while helping establish foundational AI engineering capabilities, operating standards, and a small, high-performing AI engineering team.
Responsibilities
  • Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases (e.g., customer service, fraud detection, document processing, knowledge management, and operational efficiency)
  • Architect LLM-enabled solutions spanning retrieval-augmented generation, vector search, agentic workflows, MCP, model orchestration, tool/function calling, and human-in-the-loop controls.
  • Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns.
  • Integrate AI capabilities into enterprise applications, developer workflows, knowledge management platforms, automation, analytics, and decision-support processes.
  • Establish engineering practices for CI/CD, testing, model evaluation, observability, performance optimization, security, and responsible AI controls.
  • Establish reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls to accelerate enterprise adoption.
  • Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to ensure solutions meet regulatory, privacy, auditability, and operational risk expectations.
  • Prototype rapidly with stakeholders, convert pilots into scalable implementations, and define measurable adoption and impact metrics.
  • Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and fit for regulated enterprise use cases.
  • Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
  • Stay current with emerging AI technologies and advise leadership on practical opportunities, risks, and implementation tradeoffs.
  • Perform other duties as assigned.

AI Fluency & Hands-On LLM Skills
  • Hands-on experience with major LLM platforms, including OpenAI ChatGPT/Codex, Anthropic Claude, Google Gemini, Microsoft Copilot/Azure OpenAI, AWS Bedrock, and open-source models such as Llama or Mistral.
  • Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation.
  • Ability to design AI applications that include data protection, source validation, access control, logging, monitoring, traceability, and human review where appropriate.
  • Strong understanding of Responsible AI, model governance, prompt-injection risks, data privacy, and production controls for LLM-enabled solutions.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; advanced degree preferred.
  • 10+ years of progressive experience in software engineering, AI engineering, platform engineering or related technology leadership roles, including experience delivering production AI solutions
  • Proven experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery.
  • Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery.
  • Deep experience with the Azure ecosystem, including Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related enterprise integration patterns.
  • Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring/observability tools.
  • Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
  • Experience in financial services, banking, fintech, insurance, or another regulated industry with strong understanding of compliance, auditability, risk management, and governance.
  • Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
  • Strong executive communication skills, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.

Preferred Qualifications
  • Master's degree in AI, Computer Science, Data Science, Engineering, or a related field.
  • Experience establishing AI engineering teams, platforms, reusable delivery patterns, and enterprise AI standards.
  • Experience with copilots, enterprise search, intelligent document processing, workflow automation, and AI-enabled knowledge management.
  • Experience driving AI vendor evaluation and selection processes within regulated environments
  • Familiarity with model risk management, third-party/vendor risk, privacy impact assessments, and regulated technology delivery.
  • Experience with MLOps/LLMOps, AI monitoring, evaluation pipelines, model/prompt registries, and production incident management.
  • Track record of mentoring senior engineers and building high-performing technical teams.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation
The base pay range for this position is USD $150,000.00/Yr. - USD $275,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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