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Python Flask Developer Remote Jobs in Cerritos, CA

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

Strong software engineering fundamentals and experience building real products Solid Python skills ... Full-time, Remote Pay: $80,000 - $100,000 Benefits: * PTO * Health / Dental / Vision * 401(k) ...

PropStream

Senior Full Stack Developer

Lake Forest, CA · Remote

$120K - $130K/yr

Good to have Python, Kotlin, Mobile skills, Docker, Spring, Linux/Unix. * Build web applications ... Headquartered in Lake Forest, CA, PropStream currently maintains a remote and hybrid-friendly ...

KBR, Inc.

Senior Gen AI Developer

El Segundo, CA · On-site

$182K - $228K/yr

KBR is seeing a Senior Gen AI Developer to join our team in El Segundo, CA (remote). The MILSATCOM ... Strong proficiency in Python for AI/ML development, data processing, and automation * Hands-on ...

KBR

Senior Gen AI Developer

El Segundo, CA · On-site +1

$182K - $228K/yr

KBR is seeing a Senior Gen AI Developer to join our team in El Segundo, CA (remote). The MILSATCOM ... Strong proficiency in Python for AI/ML development, data processing, and automation * Hands-on ...

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Python Flask Developer Remote information

See Cerritos, CA salary details

$13

$61

$89

How much do python flask developer remote jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python flask developer remote in Cerritos, CA is $61.04, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.33 per hour, depending on experience, location, and employer.

What is the difference between Python Flask Developer Remote vs Python Django Developer Remote?

AspectPython Flask Developer RemotePython Django Developer Remote
Required CredentialsProficiency in Flask, Python, REST APIs, basic database knowledgeProficiency in Django, Python, REST APIs, database management
Work EnvironmentRemote, collaborative teams, startup or tech companiesRemote, often larger organizations or SaaS providers
Industry UsageWeb development, microservices, lightweight APIsFull-stack web apps, enterprise solutions, content management
Search & Comparison IntentCommonly compared due to similar Python frameworks and remote work options

Both Python Flask Developer Remote and Python Django Developer Remote roles involve remote work with Python expertise. Flask developers typically focus on lightweight, flexible microservices, while Django developers work on more comprehensive, full-featured web applications. The choice depends on project complexity and specific framework familiarity.

What are the key skills and qualifications needed to thrive as a Python Flask Developer in a remote role, and why are they important?

To excel as a remote Python Flask Developer, you need strong proficiency in Python programming, experience with the Flask web framework, and a solid understanding of RESTful API design, usually supported by a relevant degree or portfolio. Familiarity with tools such as Git, Docker, cloud platforms (e.g., AWS), and CI/CD pipelines is highly valued, alongside knowledge of databases like PostgreSQL or MongoDB. Excellent problem-solving, self-motivation, and clear written communication are crucial soft skills for effective remote collaboration and project delivery. These skills ensure the developer can build robust web applications, work independently, and contribute efficiently to distributed teams.

What are the main collaboration and communication tools used by remote Python Flask developers, and how do they impact daily workflow?

Remote Python Flask developers typically rely on tools like Slack or Microsoft Teams for instant messaging, Zoom or Google Meet for virtual meetings, and project management platforms such as Jira or Trello for tracking tasks. Version control is managed using Git services like GitHub or GitLab. These tools facilitate seamless collaboration with cross-functional teams, help maintain transparency, and ensure that everyone stays aligned on project goals, making remote work efficient and organized.

What does a Python Flask Developer do when working remotely?

A Python Flask Developer working remotely designs, develops, and maintains web applications using the Flask framework and the Python programming language. Their responsibilities often include building and integrating APIs, writing backend logic, managing databases, and collaborating with team members through digital communication tools. Remote developers also ensure code quality through testing and debugging, while keeping up with project requirements and deadlines. Effective communication and self-motivation are essential for success in a remote role.
What cities near Cerritos, CA are hiring for Python Flask Developer Remote jobs? Cities near Cerritos, CA with the most Python Flask Developer Remote job openings:
Python Flask Developer Remote jobs near you
Senior Agentic AI Engineer - Remote

Senior Agentic AI Engineer - Remote

Molina Healthcare

Long Beach, CA • On-site, Remote

$87K - $189K/yr

Full-time

Posted 20 days ago

Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 192 frontline employees who took The Breakroom Quiz

145th of 261 rated insurance

Job description


Job Description
We are seeking a highly skilled GenAI / Agentic AI Engineer to design, build, and deploy autonomous, LLM-powered systems that solve complex business problems at scale. This role focuses on agentic workflows, retrieval-augmented generation (RAG), tool orchestration, evaluation, and production deployment of GenAI systems.
You will work at the intersection of LLMs, systems engineering, and applied ML, building intelligent agents that reason, plan, interact with tools, and operate reliably in real-world environments-particularly across regulated domains such as healthcare.
Job Duties
Agentic AI & GenAI System Development
  • Design, build, and deploy agentic AI systems using LLMs, tools, memory, and planning frameworks.
  • Implement multi-agent and single-agent workflows for autonomous task execution, decision support, and orchestration.
  • Develop tool-using agents (function calling, structured outputs, APIs, databases, workflows).

Retrieval-Augmented Generation (RAG)
  • Design and optimize RAG pipelines, including document ingestion, chunking strategies, embeddings, vector stores, and retrieval ranking.
  • Implement advanced retrieval techniques (hybrid search, metadata filtering, re-ranking, query rewriting).
  • Evaluate and tune RAG systems for accuracy, latency, grounding, and hallucination reduction.

Model Adaptation & Optimization
  • Fine-tune and adapt foundation models (instruction tuning, LoRA, adapters) for domain-specific use cases.
  • Optimize prompts, schemas, and system instructions for reliability and determinism.
  • Apply reinforcement or feedback-driven optimization where applicable (human or automated eval loops).

Evaluation, Monitoring & Governance
  • Define evaluation frameworks for GenAI systems, including task success, factuality, grounding, latency, and cost.
  • Build monitoring and observability for agent behavior, tool calls, and failure modes.
  • Partner with governance and risk teams to ensure responsible AI practices, traceability, and compliance.

Production Deployment & MLOps for GenAI
  • Deploy GenAI and agentic systems into production using cloud-native architectures.
  • Implement CI/CD, versioning, rollback, and runtime safeguards for LLM applications.
  • Optimize systems for performance, cost efficiency, and scalability.

Collaboration & Leadership
  • Collaborate closely with software engineers, product managers, data scientists, and business stakeholders.
  • Translate ambiguous business problems into well-structured agentic solutions.
  • Mentor junior engineers and contribute to GenAI best practices and internal standards.

Job Qualifications:
Technical Skills
  • Strong Python proficiency and experience building production-grade services.
  • Deep understanding of LLMs and foundation models (GPT, Claude, Llama, etc.).
  • Hands-on experience with agent frameworks (e.g., LangGraph, Semantic Kernel, DSPy, AutoGen, CrewAI, custom frameworks).
  • Strong knowledge of RAG architectures, vector databases, and embedding models.
  • Experience with structured outputs, function calling, JSON schemas, and tool orchestration.
  • Familiarity with LLM evaluation techniques and failure mode analysis.
  • Experience with APIs, microservices, and distributed systems.

Problem Solving & Communication
  • Strong analytical thinking and ability to structure ambiguous problems.
  • Ability to explain complex GenAI concepts to both technical and non-technical audiences.
  • Proven ability to work cross-functionally in fast-moving environments.

REQUIRED EDUCATION:
Master's Degree in Computer Science, Data Science, Statistics, or a related field
REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:
• 6 plus years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiar with relational database concepts, and SDLC concepts
• Demonstrate critical thinking and the ability to bring order to unstructured problems
• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EXPERIENCE:
  • Hands-on experience building and deploying GenAI / LLM-based systems.
  • Experience working in regulated industries (healthcare, finance, insurance).
  • Hands-on experience with cloud GenAI platforms (Azure AI Studio / Foundry, Databricks, Snowflake Cortex).
  • Experience with observability and governance tools for GenAI systems.
  • Familiarity with NLP, document intelligence, or multimodal AI.
  • PhD or equivalent advanced research experience is a plus.
  • Proven experience designing agentic workflows, not just prompt-based applications.

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

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About Molina Healthcare

Sourced by ZipRecruiter

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

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