ZipRecruiter

Log In

1

Senior Fastapi Jobs (NOW HIRING)

PB consulting

Senior AI Solutions Architect

Niles, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

EITACIES Inc.

Sr GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Summary : EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in ... using FastAPI Python to support data services • Implement robust data quality and validation ...

PB consulting

Senior AI Solutions Architect

Itasca, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

PB consulting

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

PB consulting

Senior AI Solutions Architect

Lyons, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

previous page

Showing results 41-60

All JobsFastapi JobsSenior Fastapi Jobs

Senior Fastapi information

See salary details

$25K

$80.3K

$163.5K

How much do senior fastapi jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior fastapi in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

More about Senior Fastapi jobs

What cities are hiring for Senior Fastapi jobs?

Cities with the most Senior Fastapi job openings:

What are the most commonly searched types of Fastapi jobs?

The most popular types of Fastapi jobs are:

What states have the most Senior Fastapi jobs?

States with the most job openings for Senior Fastapi jobs include:

What job categories do people searching Senior Fastapi jobs look for?

The top searched job categories for Senior Fastapi jobs are:

What other helpful pages are available for Senior Fastapi?

Other pages related to Senior Fastapi:

Senior Fastapi jobs near you
Infographic showing various Senior Fastapi job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior AI Solutions Architect

Niles, IL • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on architecture, Python development, AWS, and production AI applications.

Responsibilities

*Own the end-to-end architecture and technical design of LLM and Generative AI solutions.
*Translate business requirements into scalable solution architectures, technical plans, and development tasks.
*Define architecture standards, integration patterns, technical decisions, and engineering best practices.
*Provide technical direction, mentor engineers, and lead design and code reviews.
*Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks.
*Architect and implement LLM applications, LangChain workflows, and RAG pipelines.
*Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation.
*Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or similar technologies.
*Establish monitoring and evaluation for quality, relevance, latency, reliability, safety, and cost.
*Design secure, scalable, and resilient AI services on AWS, including Lambda, EC2, S3, EKS, and RDS.
*Partner with DevOps/MLOps teams on CI/CD, infrastructure automation, observability, incident response, and production support.
*Ensure solutions meet enterprise requirements for security, governance, availability, scalability, fault tolerance, and operational readiness.

Required Qualifications

*Extensive software engineering experience with technical leadership responsibilities.
*Strong hands-on Python and backend development experience.
*Experience with FastAPI, Flask, or comparable frameworks.
*Proven experience delivering production LLM/Generative AI and RAG applications.
*Strong knowledge of LLM architecture, prompt engineering, embeddings, vector databases, retrieval, re-ranking, and evaluation.
*Experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar platforms/frameworks.
*Strong AWS cloud architecture and deployment experience.
*Experience with microservices, APIs, cloud security, scalability, and distributed systems.
*Strong experience leading architecture/design reviews, code reviews, technical planning, and complex engineering initiatives.
*Ability to mentor engineers and influence technical decisions without formal management authority.

Preferred Skills

*Experience with MLOps, CI/CD, infrastructure as code, and observability.
*Experience with enterprise AI governance, security, and responsible AI practices.
*Experience optimizing AI applications for performance, reliability, and cost.
*Experience working with cross-functional application, data, cloud, security, DevOps, and platform teams.

Apply