AI/ML Engineer - LLM & AWS Integration

Role: AI/ML Engineer LLM & AWS Integration

Client Location: Reston, VA (Candidates come for in-person interview at Herndon, VA)

Work Mode: 5 days onsite (No remote/hybrid exceptions)

Interview Mode: L1 F2F & L2 Virtual

Must Have Skills

We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the development and optimization of AI solutions, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies.

Key Responsibilities

Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.

Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.

Optimize and adapt prompt engineering strategies to improve model performance and relevance.

Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda, and other AI/ML-related services.

Build and maintain scalable data pipelines and APIs to support ML workflows.

Monitor model performance and iterate based on feedback and metrics.

Stay current with advancements in AI/ML and cloud technologies to ensure solutions remain cutting-edge.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

3+ years of experience in Machine Learning, Data Science, or AI Engineering.

Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.

Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda.

Familiarity with MLOps practices and tools for model deployment and monitoring.