Senior Full Stack - Developer- AI Platform Support

Job Description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

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If you are a Senior Full Stack - Developer - AI Platform Support looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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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.

BenefitsVisit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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Full-time