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Title: Lead AI Engineer
Location: Rockville, MD/McLean, VA (Hybrid 3 days onsite with 2 days remote)
Duration: 6 Months with possible extension
Interview process: Coding Assessment, Phone, In-person Interview (MUST)
Qualifications
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience
PhD preferred but not required
8 years of experience in software engineering, machine learning, or applied AI
Proven track record of building and deploying production-grade AI/ML systems
Experience in regulated industries such as finance, legal, or healthcare strongly preferred
Technical Skills
Strong expertise in natural language processing and large language models
Hands-on experience with retrieval-augmented generation (RAG)
Experience with model evaluation, benchmarking, and performance testing
Familiarity with multimodal AI, including text, image, and layout understanding
Tools and Frameworks
Strong Python development experience
Experience with LLM orchestration or agent frameworks such as LangChain or AWS Strands
Experience with vector databases such as PGVector or Pinecone
Familiarity with document processing pipelines, including OCR and PDF parsing tools
Systems and Infrastructure
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Knowledge of MLOps, CI/CD pipelines, model monitoring, and best practices
Strong background in scalable system design and distributed architectures
Title: Lead AI Engineer
Location: Rockville, MD/McLean, VA (Hybrid 3 days onsite with 2 days remote)
Duration: 6 Months with possible extension
Interview process: Coding Assessment, Phone, In-person Interview (MUST)
Qualifications
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience
PhD preferred but not required
8 years of experience in software engineering, machine learning, or applied AI
Proven track record of building and deploying production-grade AI/ML systems
Experience in regulated industries such as finance, legal, or healthcare strongly preferred
Technical Skills
Strong expertise in natural language processing and large language models
Hands-on experience with retrieval-augmented generation (RAG)
Experience with model evaluation, benchmarking, and performance testing
Familiarity with multimodal AI, including text, image, and layout understanding
Tools and Frameworks
Strong Python development experience
Experience with LLM orchestration or agent frameworks such as LangChain or AWS Strands
Experience with vector databases such as PGVector or Pinecone
Familiarity with document processing pipelines, including OCR and PDF parsing tools
Systems and Infrastructure
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Knowledge of MLOps, CI/CD pipelines, model monitoring, and best practices
Strong background in scalable system design and distributed architectures