As a Software Engineer II, you will develop Python-based web applications, fine-tune LLMs, and orchestrate workflows, ensuring scalability and performance.
Job Description
As a Software Engineer II at JPMorgan Chase within the Infrastructure Platforms International, you are part of an agile team that enhances, designs, and delivers the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. You execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system. If you are passionate about developing innovative applications using Python and LLMs, we encourage you to apply and join our dynamic team!
Job Responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
As a Software Engineer II at JPMorgan Chase within the Infrastructure Platforms International, you are part of an agile team that enhances, designs, and delivers the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. You execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system. If you are passionate about developing innovative applications using Python and LLMs, we encourage you to apply and join our dynamic team!
Job Responsibilities:
- Develop and maintain Python-based web applications utilizing Large Language Models (LLMs).
- Perform data vectorization and fine-tuning of LLMs to enhance performance and accuracy.
- Orchestrate LLM workflows using frameworks such as Langchain, Langraph, or LlamaIndex.
- Build and deploy Python microservices for scalable application architecture.
- Integrate and connect to diverse data sources, including unstructured databases like PostgreSQL.
- Implement LLM-based data vectorization techniques and ensure efficient storage in PostgreSQL.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Proficiency in Python development with a strong understanding of web application frameworks.
- Experience with Large Language Models (LLMs) and their fine-tuning.
- Familiarity with data vectorization techniques and their applications.
- Experience with orchestrating LLM workflows using frameworks like Langchain, LLamaIndex, or Langraph.
- Strong knowledge of building and deploying Python microservices.
- Proficient in connecting and querying PostgreSQL.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Preferred Qualifications, Capabilities, and Skills:
- Machine Learning with Python (Clustering, Classification).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying applications.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.
Top Skills
AWS
Azure
Docker
GCP
Kubernetes
Langchain
Langraph
Large Language Models (Llms)
Llamaindex
Postgres
Python
Similar Jobs at JPMorganChase
Financial Services
As a Model Risk Analyst, assess model risks, conduct reviews, develop benchmarking tools, and monitor performance for compliance models at JPMorgan Chase.
Top Skills:
NumpyPandasPythonScipyTensorFlow
Financial Services
As a Senior AI Product Manager, you will lead AI capabilities for Wholesale Lending Services, driving adoption and integrating AI into products to enhance client experiences.
Top Skills:
AIMachine LearningPrompt Engineering
Financial Services
The role involves leading credit risk strategy for card acquisitions, collaborating on growth strategies, defining lending decisions, and managing credit policies while ensuring adherence to regulations.
Top Skills:
PythonSASSQLTableau
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
