Gen AI Developer/Engineer :: 10+ Yrs exp :: Reston, VA.
karthik hsk
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Job Title:
Gen AI Developer/Engineer
Job
Location: Reston, VA
We are
seeking a Senior Machine Learning Engineer with hands-on experience in GenAI,
LLMs, and AWS to join internal AI initiative. This role focuses on building and
deploying AI/ML applications based on pre-established architecture and existing
PoCs. The ideal candidate will have the technical depth to work independently,
quickly grasp the architectural framework, and drive the solution into
production. This is a critical first hire, with the potential to shape the
future team. Project Highlights:
Greenfield
AI initiative with completed PoCs this role is more in the build and
implementation phase.
Working on
LLM integration and building an internal tool for Fannie Mae.
Role offers
direct engagement with stakeholders & product owners Key Responsibilities:
Execute
end-to-end implementation of AI/ML solutions using GenAI and LLMs.
Translate
existing architectural designs into production-ready systems.
Act as a
Sr. Developer for end-to-end implementation of GenAI/LLM solutions using
existing PoCs and AI foundation models.
Collaborate
with Product Owners, AWS, and LLM vendors to build internal AI applications.
Develop,
integrate, and operationalize models in the Intelligent Document Processing
(IDP) domain.
Implement
and manage MLOps pipelines using tools like MLflow, AWS SageMaker, AWS Bedrock
etc.
Ensure
reliability, scalability, and performance of AI models in real-world
environments.
Strong
experience in building and deploying machine learning models in production
environments.
Proven
ability to work independently and as a key player in early-stage, strategic
projects. Required Qualifications:
Strong
hands-on experience in AI/ML engineering, including MLOps and production
deployments.
Expertise
in Python, TensorFlow, scikit-learn, NumPy, PyTorch and general data
engineering practices
Proficient
in AWS ML services, including SageMaker, Lambda, and S3.
Practical
experience with GenAI, LLMs, and prompt engineering.
Solid
understanding of AI/ML architectural concepts and ability to quickly adapt to a
pre-defined design.
Excellent
communication and problem-solving skills; ability to work with cross-functional
teams. Nice-to-Have:
Experience
With LLM Fine-tuning (not Required But Beneficial).
Prior
exposure to internal enterprise AI tool development.
Background
in IDP or similar domains.
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