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Fastapi Developer Jobs in Randolph, NJ (NOW HIRING)

Peraton

Senior AI/ML Software Engineer

Basking Ridge, NJ · On-site

$146K - $234K/yr

Develop full-stack product features (FastAPI + React) that surface AI capabilities to users - from ... Familiarity with prompt engineering, evaluation frameworks, or agent observability * Experience ...

Peraton

Senior AI/ML Software Engineer

Basking Ridge, NJ · On-site

$146K - $234K/yr

Develop full-stack product features (FastAPI + React) that surface AI capabilities to users - from ... Familiarity with prompt engineering, evaluation frameworks, or agent observability * Experience ...

Peraton

Senior AI/ML Software Engineer

Woodbridge, NJ

$146K - $234K/yr

Develop full-stack product features (FastAPI + React) that surface AI capabilities to users - from ... Familiarity with prompt engineering, evaluation frameworks, or agent observability * Experience ...

AM Best Company

Data Engineer - Python

Oldwick, NJ · Hybrid

Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol ... Experience with GIT, MS Azure DevOps, Artifactory, etc. Must be comfortable building CI/CD ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Architect

Warren, NJ · On-site

$66 - $84.75/hr

Spanner, Cloud SQL, Memory store, BigQuery , Looker studio & Operations suite (Cloud monitoring and Logging) Google certified Data Engineer Secondary Skill Python, Flask FastAPI Development Role ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Architect

Warren, NJ · On-site

$66 - $84.75/hr

Spanner, Cloud SQL, Memory store, BigQuery , Looker studio & Operations suite (Cloud monitoring and Logging) Google certified Data Engineer Secondary Skill Python, Flask FastAPI Development Role ...

Virtusa

AI Solutions Architect

Piscataway, NJ · Hybrid

$64.25 - $84.50/hr

Apply prompt and context engineering techniques to optimize AI model performance. Work with cutting ... Develop and deploy AI solutions using Python, Java, and frameworks like FastAPI, integrating with ...

LotSolutions, Inc.

AI Engineer - Full Stack

Iselin, NJ · On-site

Experience with developer tooling such as Claude Code, GitHub Copilot, and Cursor is required ... Familiarity with FastAPI is preferred. * Experience working with frontier models from providers ...

Apply Early

Chubb

AI Engineer

Whitehouse Station, NJ · On-site

As an AI Engineer for North America Data Analytics focusing on Generative AI capabilities, you will ... such as FastAPI, Uvicorn. * Familiarity with Continuous Integration tools such as Jenkins.

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Fastapi Developer information

See Randolph, NJ salary details

$17

$54

$84

How much do fastapi developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for fastapi developer in Randolph, NJ is $54.31, according to ZipRecruiter salary data. Most workers in this role earn between $41.49 and $66.44 per hour, depending on experience, location, and employer.

What are some common challenges FastAPI Developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI Developer, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What is a FastAPI Developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.
What cities near Randolph, NJ are hiring for Fastapi Developer jobs? Cities near Randolph, NJ with the most Fastapi Developer job openings:
Fastapi Developer jobs near you
Senior Lead Python Engineer - Applications Development Group Manager - C14 - RUTHERFORD

Senior Lead Python Engineer - Applications Development Group Manager - C14 - RUTHERFORD

Citigroup, Inc.

Rutherford, NJ • On-site

$142K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Summary
We are seeking a highly motivated and experienced Senior Vice President - Senior Lead, Python Engineering and Generative AI Platforms to lead our Retail and Wealth Risk Engineering organization within Enterprise Risk Technology. This is a senior leadership role responsible for defining strategy, architecture, and execution of enterprise-scale AI agent platforms, Python-based data ecosystems, and full-stack solutions.
The ideal candidate is a forward-thinking technology leader who can effectively manage Product based(PDLC) teams comprising ~15+ engineers, including AI-assisted/virtual developers (e.g., Devin.AI, GitHub Copilot). You will be instrumental in driving the adoption of AI Product Development Lifecycle (AI PDLC), regulatory-compliant data platforms, and scalable GenAI solutions, while aligning technology initiatives with Retail Risk, Wealth Risk, and regulatory programs such as CCAR (14Q/14A) and FDIC.
Responsibilities
  • Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities.
  • Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives.
  • Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security.
  • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM).
  • Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics.
  • Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance.
  • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails.
  • Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance.
  • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams.
  • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations.
  • Act as a key partner to Risk, Finance, and Retail Banking stakeholders, translating regulatory and business requirements into scalable engineering solutions.
  • Build and manage strong relationships with senior business leaders, leading strategic discussions, requirement gathering, and cross-functional alignment.
  • Establish engineering standards, governance frameworks, and best practices across teams, ensuring consistency, quality, and reuse.
  • Mentor senior engineers and engineering managers, fostering a culture of innovation, accountability, and continuous improvement.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, and escalating control issues with transparency.

Qualifications
Required:
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments.
  • 8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams.
  • Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines.
  • Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering.
  • Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows.
  • Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift).
  • Strong experience with event-driven architectures and streaming platforms (Kafka).
  • Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements.
  • Exceptional leadership, communication, stakeholder management, and decision-making capabilities.
  • Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems.
  • Familiarity with frontend technologies (React/Angular) for full-stack solution delivery.
  • Proven client relationship management experience, with the ability to engage and influence senior business stakeholders, lead strategic discussions, and drive consensus across business and technology teams.

Preferred:
  • Strong exposure to Retail lending/Credit Risk and Regulatory platforms, including CCAR (14Q/14A /14M), FDIC reporting, and enterprise risk aggregation.
  • Deep Core Systems Expertise in Retail Banking domains such as: Cards, Mortgages, Loans, Wealth Lending, Finance and Risk data platforms
  • Strong Business Domain Knowledge with experience working directly with Retail Banking and Risk organizations, including understanding of business processes, architecture, and infrastructure.
  • Experience with containerization technologies (Docker, Kubernetes) and DevSecOps practices.
  • Knowledge of AI Product Development Lifecycle (AI PDLC) and model governance frameworks.
  • Relevant industry certifications (e.g., AWS/Azure Data/AI, Kubernetes).

Education
  • Bachelor's degree/University degree or equivalent experience.
  • Master's degree is preferred.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Rutherford New Jersey United States
Primary Location Full Time Salary Range:
$176,720.00 - $265,080.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 17, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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