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Requirements Role:Senior Full Stack - Developer -AI Platform Support

Location: Mclean, VA (Local to VA , DC and MD)

Exp: 5+ Years

Requirements

We are seeking a

Senior Full Stack Developer

to support AI-powered platform development within a leading financial services environment. This role involves integrating AI/ML capabilities into web applications for financial research, leveraging advanced front-end and back-end technologies, and collaborating with cross-functional teams to deliver production-grade solutions.

Key Responsibilities:

Application Development & Architecture:

Design, develop, and maintain full-stack web applications integrating AI/ML models, knowledge graphs, and search tools. Develop responsive and performance-optimized UIs using

React.js ,

TypeScript , and

Tailwind/CSS-in-JS . Build scalable and secure back-end services using

Python (FastAPI/Flask/Django)

or

Node.js , leveraging

REST

and

GraphQL

APIs. Integrate front-end interfaces with LLM services (e.g., GPT, Claude), document processing APIs, and financial datasets.

AI & Platform Integration:

Work closely with data scientists and ML engineers to embed AI/NLP/LLM functionalities into applications. Leverage

vector databases ,

document search tools

(e.g., Elasticsearch), and

RAG workflows .

Cloud & DevOps Collaboration:

Partner with DevOps and Cloud teams to deploy applications using

CI/CD pipelines ,

Docker , and

Kubernetes . Ensure observability and monitoring using tools aligned with enterprise standards.

User-Centric Development:

Collaborate with UX teams to implement intuitive features based on user feedback from investment professionals.

Governance & Best Practices:

Adhere to secure coding practices, data governance standards, and financial compliance requirements. Participate in code reviews, agile ceremonies, and architecture design sessions.

Required Qualifications: Experience:

Minimum

5+ years

of experience in full stack or enterprise software development. Must have worked

in

financial services, private equity, or asset management

domains.

Frontend Technologies:

React.js ,

TypeScript ,

Redux ,

Tailwind CSS

or other CSS-in-JS frameworks.

Backend & APIs:

Proficiency in

Python

(FastAPI, Flask, Django), or

Node.js . Deep understanding of

REST ,

GraphQL , and microservices architecture.

Databases:

Experience with

PostgreSQL ,

MongoDB , or

graph/semantic DBs

(e.g.,

Neo4j ,

Amazon Neptune ).

AI/ML Integration:

Hands-on with

AI/ML APIs ,

LLMs ,

NLP ,

vector databases , and

retrieval-augmented generation .

Cloud & DevOps Tools:

Preferably

AWS

(Lambda, ECS, API Gateway, S3, SageMaker). CI/CD using

Git ,

Jenkins ,

GitHub Actions .

Working Style:

Comfortable with

Agile/Scrum

methodologies. Strong collaborative and communication skills.

Nice to Have: Experience with

Elasticsearch ,

document-based search

tools. Prior involvement in

AI platform support

or

enterprise-level data integration

projects. Contributions to

open-source AI tools

or

LLM workflows

is a plus.

Benefits Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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