AI/ML Engineer (Need Only local to VA or TX)

Title: AI/ML Engineer

Locations: Reston VA / Plano TX (Hybrid)

Duration: 12 months +

Interview:

• 1st round video interview, 30min
• 2nd round in person onsite, 1 hour

Overview:

The Client is seeking a hands-on AI/ML Engineer to join their technology team focused on creating and integrating AI-driven workflows within existing business applications. This role is ideal for an engineer who thrives in building practical, scalable AI/ML solutions in the AWS Cloud environment and can start contributing from Day 1.

You will work closely with internal stakeholders across multiple business lines to design, fine-tune, and integrate AI agents, retrieval-augmented generation (RAG) solutions, and automation frameworks into enterprise systems.

Key Responsibilities:

• Design, develop, and deploy AI/ML models and AI agent workflows for enterprise applications.
• Fine-tune pre-trained models and adapt them for internal business use cases.
• Build and integrate AI workflows within existing applications using AWS cloud services.
• Architect and implement RAG (Retrieval-Augmented Generation) pipelines leveraging internal and external datasets.
• Collaborate with teams to identify opportunities for AI-driven optimization and solution design.
• Work with internal databases and APIs to extract, transform, and feed data into AI/ML models.
• Ensure performance, scalability, and maintainability of deployed models in production.
• Contribute to solution design discussions and participate in agile development cycles.

Required Skills & Experience:

• Hands-on experience in AI/ML engineering or applied machine learning roles.
• Proven experience in building and deploying models using AWS tools such as: SageMaker, Bedrock, Lambda, RDS, DynamoDB, ECS, S3, F3, etc.
• Strong programming skills in Python, Java, or Scala.
• Experience with fine-tuning LLMs and developing AI agents.
• Proficiency in building and integrating RAG architectures.
• Solid understanding of cloud architecture, data pipelines, and application integration.
• Familiarity with data storage and retrieval mechanisms (SQL, MySQL, NoSQL).
• Ability to translate business needs into practical, scalable AI solutions.

Nice to Have:

• Experience with Spark, Hive, or Airflow for data processing (helpful but not mandatory).
• Background in solution architecture or AI/ML system design.
• Exposure to enterprise-level applications and multi-cloud environments.