GenAI Engineer (Early-career) Internship with opportunity for full-time

McLean, VA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • PyTorch
  • Python
  • SQL
  • Machine Learning (ML)
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Generative Artificial Intelligence (AI)
  • Git
  • Machine Learning Operations (ML Ops)
  • Docker
  • TensorFlow
  • NoSQL
  • Natural Language Processing
  • Real-time
  • Microsoft Azure
  • Data Engineering

Summary

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

Job Title: GenAI Engineer (Early-career) Internship with opportunity for full-time

Location: McLean, VA

Onsite/Hybrid: 5 Days Onsite

Experience: s or up to 2 years of relevant experience in AI/ML

Internship & conversion details:

- Internship duration: 3 6 months

- Conversion criteria: successful completion of the internship project(s), demonstration of learning aptitude, teamwork, and core technical skills. Candidates who meet performance expectations will be considered for a full-time role.

Overview: We are offering an internship program (with the goal of a full-time offer for successful candidates) for early-career GenAI Engineers. This role is ideal for s or professionals with up to 3 years of experience who are eager to learn and contribute to GenAI and Agentic AI projects. You will work with experienced engineers on building ML models, APIs, and cloud-based data pipelines, while receiving mentorship and hands-on experience.

What you ll do:

- Work with the team to build and test AI/ML models, especially for NLP and conversational AI.

- Help implement and maintain data pipelines and simple real-time APIs.

- Write clean, well-documented Python code and assist in backend development (FastAPI or similar).

- Support model fine-tuning, evaluation, and basic experiments under guidance.

- Help package and deploy models using containers or simple cloud services.

- Learn and follow MLOps practices (versioning, CI/CD basics, Docker).

- Collaborate with cross-functional teams and participate in design and code reviews.

Who we re looking for (must-haves):

- Bachelor's degree in Computer Science or Equivalent.

- s or up to 2 years of relevant experience in AI/ML, software development, or data engineering.

- Good programming skills in Python.

- Basic understanding of machine learning concepts and common NLP tasks.

- Familiarity with REST APIs and basic backend programming.

- Positive learning attitude, good communication, and teamwork skills.

Technical skills (preferred / nice-to-have):

- Practical exposure to PyTorch or TensorFlow (coursework, projects, or internships).

- Familiarity with Hugging Face Transformers or other NLP libraries.

- Basic working knowledge of cloud platforms (AWS, Google Cloud Platform, or Azure) or willingness to learn.

- Experience with Git, Docker, and simple CI/CD concepts.

- Exposure to SQL and NoSQL databases.

- Any coursework or projects involving LLMs, RAG, LangChain, or conversational systems is a plus.

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

Find out more at Hexaware.com.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: hexaware
  • Position Id: 8924054
  • Posted 11 hours ago
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