Senior AI / ML Engineers

Job Description

Seeking Senior AI / ML Engineers to design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Additionally, consultants will be expected to :

• Be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities.
• Address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.
• Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial 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.

Requirements

Skills

Required / Preferred

Years

Candidate Experience

Must have 10+ years of experience working in IT in the US   for companies in the US.

Required

10+

Must have 4 + years of ‘Recent’ experience working for a bank or brokerage house (Since 2019).

Required

4+

Must have 7+ years’ experience with prompt design and implementation of chatbot applications.

Required

7+

Must have 7+ years’ experience programming utilizing Python, C / C++, Go, Java, and Spark .

Required

7+

Must have strong past hands-on experience building and maintaining large-scale Python applications.

Required

Must have 7 plus years’ experience with PyTorch and / or TensorFlow.

Required

7+

Must have 5+ years of recent hands-on experience with cloud platforms AWS AI / ML deployment and data processing for building and operating on cloud infrastructure including containerized services (ECS / EKS), Lambda), data services (S3, DynamoDB, and Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform / CloudFormation)."

Required

5+

Must have 7 years plus experience building data pipelines for both structured and unstructured data processing.

Required

7+

Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications.

Required

7+

Excellent and Recent hands-on experience with agentic AI concepts and Large Language Models (LLMs).

Required

Excellent and Recent hands on experience with agent frameworks such as LangChain, CrewAI, or AutoGen.

Required

Excellent and Recent hands-on experience with GIT and version control systems.

Required

Excellent and recent hands-on experience with large Language Models (LLMs) : orchestration and agentic AI libraries. API integration, prompt engineering, fine-tuning / adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).

Required

Experience with different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).

Required

Recent hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.

Required

Recent hands on experience with model fine-tuning techniques such as DPO and RLHF.

Required

Excellent ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner

Required

Knowledge of financial products and services including trading, investment and risk management

Required

Benefits

Benefit Package includes :

Paid Sick Time

Insurance for Medical, Dental, Vision and Life Available

401(k) including Employer Match

HSA or FSA, Short-term & Long-term Disability Available

We are an EEO / Veterans / Disabled employer

Requirements

Must have 10+ years of experience working in IT in the US for companies in the US. Required Must have 4 + years of ‘Recent’ experience working for a bank or brokerage house (Since 2019). Required Must have 7+ years’ experience with prompt design and implementation of chatbot applications. Required Must have 7+ years’ experience programming utilizing Python, C / C++, Go, Java, and Spark . Required Must have strong past hands-on experience building and maintaining large-scale Python applications. Required Must have 7 plus years’ experience with PyTorch and / or TensorFlow. Required Must have 5+ years of recent hands-on experience with cloud platforms AWS AI / ML deployment and data processing for building and operating on cloud infrastructure including containerized services (ECS / EKS), Lambda), data services (S3, DynamoDB, and Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform / CloudFormation)." Required Must have 7 years plus experience building data pipelines for both structured and unstructured data processing. Required Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications. Required Excellent and Recent hands-on experience with agentic AI concepts and Large Language Models (LLMs). Required Excellent and Recent hands on experience with agent frameworks such as LangChain, CrewAI, or AutoGen. Required Excellent and Recent hands-on experience with GIT and version control systems. Required Excellent and recent hands-on experience with large Language Models (LLMs) : orchestration and agentic AI libraries. API integration, prompt engineering, fine-tuning / adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). Required Experience with different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Required Recent hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments. Required Recent hands on experience with model fine-tuning techniques such as DPO and RLHF. Required Excellent ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner Required Knowledge of financial products and services including trading, investment and risk management Required