Lead Software Engineer - Agentic AI development
Lead Software Engineer - Agentic AI development
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
The test engineering team is at the forefront of innovation developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows accelerate debugging and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.
Job responsibilities
- Serves as a subject matter expert on a wide range of ML techniques and optimizations.
- Provides in-depth knowledge of ML algorithms frameworks and techniques.
- Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conducts experiments using latest ML technologies analyzing results tuning models
- Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
- Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored science and technology-driven solutions.
- Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications capabilities and skills
- MS and/or PhD in Computer Science Machine Learning or a related field with applied machine learning experience.
- Experience in one of the programming languages like Python Java C/C etc. Intermediate Python is a must.
- Experience in applying data science ML techniques to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization fine tuning embedding models inferencing prompt engineering evaluation RAG (Similarity Search).
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player
Preferred qualifications capabilities and skills
- Masters degree in computer science ML or related areas
- Experience with Ray MLFlow and/or other distributed training frameworks.
- In-depth understanding of Search/Ranking Recommender systems Graph techniques and other advanced methodologies.
- Deep understanding of Large Language Model (LLM) techniques including Agents Planning Reasoning and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker EKS etc.
- Experience working with large-scale MLOps pipelines working with and deploying models to production services.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
