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AI Engineer

Job in Tysons, Fairfax County, Virginia, USA
Listing for: HCLTech
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

HCLTech is seeking a highly skilled Python AI Engineer to design, develop, and deploy AI/ML solutions that solve real-world business problems. The ideal candidate will work closely with cross-functional teams to build scalable, high-performance applications using Python, machine learning frameworks, and Generative AI technologies.

Key Responsibilities
  • Design, develop, and deploy AI/ML solutions using Python and modern AI frameworks.
  • Build scalable and efficient machine learning models to address business challenges.
  • Develop and optimize data pipelines for AI and machine learning applications.
  • Implement NLP and Generative AI solutions utilizing state-of-the-art models and frameworks.
  • Build LLM-powered applications using Lang Chain and Lang Graph.
  • Develop and integrate REST APIs and microservices for AI-driven applications.
  • Work with structured and unstructured data from SQL and No

    SQL databases.
  • Collaborate with data scientists, architects, product teams, and business stakeholders to deliver AI solutions.
  • Deploy and manage AI applications on AWS cloud platforms.
  • Monitor, troubleshoot, and optimize model performance in production environments.
  • Follow best practices for software engineering, model deployment, security, and scalability.
Required Qualifications
  • 6+ years of experience in Python development and AI/ML application development.
  • Strong proficiency in Python programming.
  • Hands‑on experience with machine learning and artificial intelligence concepts.
  • Strong understanding of Natural Language Processing (NLP) and Generative AI technologies.
  • Hands‑on experience with Lang Chain and Lang Graph.
  • Experience developing and integrating APIs.
  • Strong knowledge of SQL and No

    SQL databases.
  • Experience deploying and managing solutions on AWS cloud platforms.
  • Strong problem‑solving and analytical skills.
  • Excellent communication and collaboration abilities.
Preferred Qualifications
  • Experience working with Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) architectures.
  • Knowledge of MLOps and model deployment best practices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Familiarity with vector databases and AI orchestration frameworks.
  • Experience integrating enterprise applications with AI‑driven solutions.
  • Experience working with:
    Num Py, Pandas, Scikit‑learn, Py Torch
Education
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Equivalent practical experience in AI, Machine Learning, or Software Engineering will also be considered.

HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program;

401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

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