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Senior Fastapi Developer Jobs in East Orange, NJ

Biograph

Senior Fullstack Software Engineer

Manhattan, NY · On-site

$150 - $200/hr

Biograph is looking for senior software engineers to help us scale a data driven approach to ... NextJS and Django/FastAPI. * Core services - connect and utilize the world's health data to improve ...

Doctronic Inc

Senior Backend Engineer

New York, NY · On-site

$85K - $240K/yr

Senior Backend Engineer Doctronic | New York City ONSITE (Hybrid) | Reports to CEO The Mission Let ... Scalable APIs using Python, FastAPI, AWS handling millions of monthly requests * RESTful API ...

DDN

Sr. Software Engineer - Internal Apps

Manhattan, NY · On-site

$150 - $210/hr

We're looking for a Senior Software Engineer to build internal applications on top of DDN ... Internal applications -- design, build, and operate full-stack web apps (FastAPI/Flask + React ...

New

Virtusa Corporation

Senior Consultant

Jersey City, NJ · On-site

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high ... programming • Experience with at least one major Python web framework (Django, Flask, or FastAPI ...

Veris AI

Senior Backend Engineer

Manhattan, NY · On-site

Responsibilities : • Design and code backend services in Python /FastAPI and data-store ... cloud and DevOps tasks: IaC, container builds, monitoring, and cost tuning. • Collaborate with ...

Virtusa Corporation

Senior Consultant

Jersey City, NJ · On-site

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high ... programming • Experience with at least one major Python web framework (Django, Flask, or FastAPI ...

Hume AI

Senior Platform Engineer

New York, NY · On-site

$114K - $157K/yr

Hume AI is seeking a talented senior software engineer with strong experience in backend services ... GCP, AWS). * Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust. * Deep ...

Hume AI

Senior Platform Engineer

New York, NY · On-site

$180K - $230K/yr

Hume AI is seeking a talented senior software engineer with strong experience in backend services ... GCP, AWS). * Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust. * Deep ...

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How much do senior fastapi developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for senior fastapi developer in East Orange, NJ is $64.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.66 and $72.21 per hour, depending on experience, location, and employer.

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are the key skills and qualifications needed to thrive as a Senior FastAPI Developer?

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

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Senior Generative AI Developer

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

38th of 171 rated banks

Job description

About the Role
We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale.
This is a hands-on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.
Key Responsibilities
  • Design & Build GenAI Solutions: Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
  • Python Development: Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
  • Model Integration & Fine-tuning: Evaluate, integrate, and fine-tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain-specific financial use cases.
  • MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
  • Agentic Workflows: Design and implement multi-agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi-step operational workflows.
  • Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
  • Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
  • Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
  • Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade-offs and timelines.

Required Qualifications
  • Experience: 6+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.
  • Python: Expert-level Python proficiency - including async programming, API development (FastAPI, Flask), and software design patterns.
  • GenAI & LLM Stack:
    • Deep hands-on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
    • Hands on experience with Google Cloud AI Platform
    • Proven experience with RAG architectures, embedding pipelines, and vector search
    • Strong understanding of prompt engineering, few-shot learning, and chain-of-thought techniques
    • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
  • Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine-tuning (LoRA, PEFT), and inference optimization.
  • Cloud Platforms: Hands-on experience with at least one major cloud provider - AWS, Azure, or GCP - particularly managed AI/ML services.
  • Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).
  • Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.
  • Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications
  • Experience with multi-agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)
  • Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools
  • Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation
  • Exposure to Kafka, Spark, or Airflow for data pipeline engineering
  • Experience working in an Agile/SAFe delivery environment
  • Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline - or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)
Languages: Python (expert), SQL, Bash
GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel
LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI
Vector Databases: Pinecone, Weaviate, pgvector, Chroma
Cloud: AWS / Azure / GCP
MLOps: MLflow, Docker, Kubernetes, GitHub Actions
Data Engineering: Spark, Airflow, Kafka
Databases: PostgreSQL, MongoDB, Redis
Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Systems & Engineering
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
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:
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
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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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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