hackajob · 1 day ago
AI/ML Engineer â Agentic Private Bank Engineer , Vice President
hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As an Applied AI ML Lead, you will deliver software solutions, develop machine learning models, and optimize data processing pipelines to make a significant business impact.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders
Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency
Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
Analyze and interpret data to evaluate model performance to identify areas of improvement
Qualification
Required
Formal training or certification on software engineering concepts and 5+ years applied experience
Experience with prompt design and implementation or chatbot application
Strong programming skills in Python with experience in PyTorch or TensorFlow
Experience building data pipelines for both structured and unstructured data processing
Experience in developing APIs and integrating NLP or LLM models into software applications
Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing
Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Basic knowledge of deployment processes, including experience with GIT and version control systems
Familiarity with LLM orchestration and agentic AI libraries
Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment
Preferred
Familiarity with model fine-tuning techniques such as DPO and RLHF
Knowledge of Java, Spark
Knowledge of financial products and services including trading, investment and risk management
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Recent News
2025-10-23
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2025-09-12
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