Artificial Intelligence Engineer

Hanover Technologies Inc.; New York (NY); On-site; USD 180,000 - 220,000; Full time

Job summary

Hanover Technologies Inc. seeks a senior full-stack engineer to develop modern web applications using Next.js, React, TypeScript and PostgreSQL. You will build scalable APIs, real-time interfaces, and secure data flows for fund administration clients in New York.

You will design and deploy AI agents and LLM pipelines, architect backend systems tied to diverse financial data streams, and implement cloud infrastructure on AWS for reliable, high-availability services.

Qualifications

• Master’s Degree in Computer Science or related field and 1 year of software developer experience.
• Strong experience with Next.js, React and TypeScript in full-stack development.
• Experience integrating PostgreSQL and backend services with secure, scalable architectures.

Responsibilities

• Develop full-stack web applications using Next.js, React, TypeScript, and PostgreSQL with type-safe APIs and real-time data interfaces.
• Architect and deploy AI agents and LLM pipelines to automate fund administration processes.
• Build backend systems integrating financial data streams and secure, efficient data retrieval.
• Develop scalable AWS-based cloud infrastructure (Lambda, SQS, S3, API Gateway) for real-time analytics and high availability.
• Design ETL pipelines for ingesting and reconciling financial data from banking APIs, email systems, and documents.
• Collaborate with product managers, operations teams, and clients to translate complex requirements into technical solutions.
• Evaluate emerging AI tech and LLM providers to strengthen automation and data integrity.

Skills

Full-stack development

API design

Distributed systems

Education

Master's degree in Computer Science or related

Tools

Next.js

React

TypeScript

PostgreSQL

AWS

Terraform

CloudFormation

SST

tRPC

Langsmith

Braintrust

Python

Temporal

Trigger.dev

Job description

JOB CODE: PT0926

POSITION DUTIES: Develop full-stack web applications using Next.js, React, TypeScript, and PostgreSQL, implementing type-safe APIs and real-time data interfaces for fund administrators and investors. Design, develop, and deploy AI agents and language model pipelines to automate fund administration processes, including document extraction, transaction classification, capital activity detection, and portfolio reconciliation. Architect and maintain backend systems integrating diverse financial data streams - portfolio holdings, capital accounts, limited partner records, bank transactions, and investment documents - ensuring secure transmission and efficient retrieval. Build and optimize scalable cloud infrastructure on AWS (Lambda, SQS, S3, API Gateway) to support real-time AI-driven analytics and high-availability financial applications. Design and implement ETL pipelines for ingesting and reconciling financial data from banking APIs, email systems, and uploaded documents. Collaborate with product managers, operations teams, and clients to translate complex fund administration requirements into technical solutions. Evaluate and integrate emerging AI technologies, frameworks, and large language models providers to strengthen automation capabilities and data integrity.

JOB LOCATION: 115 E. 23rd Street, New York, NY 10010

SALARY RANGE: $200,000 to $200,000 per year / Full-Time

CONTACT: [e-mail]

115 E. 23rd Street

New York, NY 10010

MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: Master’s Degree in Computer Science, Computer Engineering or related and 1 year of experience as a software developer.

SPECIAL REQUIREMENTS:

Education or experience with the following:

• Fine-tuning and evaluating language models by curating big datasets and deploying them on serverless Graphics Processing Unit (GPU) infrastructure.
• Monitoring and maintaining production services in an on-call capacity by responding to incidents and debugging production traces using Sentry, Datadog, or PagerDuty.
• Developing applications on AWS cloud infrastructure using infrastructure-as-code tools including SST, Terraform, or CloudFormation.
• Full-stack web development using Next.js, React, TypeScript, tRPC, and PostgreSQL.
• Developing complex AI evaluation and observability platforms using tools including Langsmith or Braintrust.
• Processing and analyzing complex financial data using Python.
• Designing background jobs through asynchronous task pipelines using tools including Temporal or Trigger.dev.
• Building and deploying artificial intelligence agents using large language models that involve multi-agent orchestration and handoffs.