Engineer
Mclean, VA · On-site
$100K - $120K/yr
We are looking for motivated and enthusiastic trainees with a strong foundation in programming and ... Python/Node.js). • Optimize model performance through prompt engineering, model compression ...
Engineer
Mclean, VA · On-site
$100K - $120K/yr
We are looking for motivated and enthusiastic trainees with a strong foundation in programming and ... Python/Node.js). • Optimize model performance through prompt engineering, model compression ...
Trainee Python Developer information
See Ashburn, VA salary details
$13.52 - $20.31
1% of jobs
$20.31 - $27.11
0% of jobs
$27.11 - $33.90
2% of jobs
$33.90 - $40.69
5% of jobs
$40.69 - $47.49
11% of jobs
$49.49 is the 25th percentile. Wages below this are outliers.
$47.49 - $54.28
18% of jobs
The median wage is $57.83 / hr.
$54.28 - $61.07
24% of jobs
$66.27 is the 75th percentile. Wages above this are outliers.
$61.07 - $67.87
18% of jobs
$67.87 - $74.66
13% of jobs
$74.66 - $81.46
5% of jobs
$81.46 - $88.25
3% of jobs
$13
$59
$88
How much do trainee python developer jobs pay per hour?
As of Jun 18, 2026, the average hourly pay for trainee python developer in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.
What is a Trainee Python Developer job?
A Trainee Python Developer is an entry-level role designed for individuals looking to start their career in Python development. They typically work under the guidance of senior developers, assisting with coding, debugging, and testing software applications. The role involves learning best practices, understanding project requirements, and gaining hands-on experience with frameworks and tools commonly used in Python development. This position helps build foundational skills required for progressing into a full-time developer role.
What types of projects or tasks can a Trainee Python Developer expect to work on in their first role?
As a Trainee Python Developer, you will typically assist in developing, testing, and maintaining features under the guidance of senior developers. You may work on writing and debugging code, creating scripts to automate simple tasks, and supporting database or API integrations. Many organizations assign trainees to real-world projects early on, providing hands-on experience and regular feedback. This role usually offers a supportive environment with opportunities for mentorship and learning, allowing you to build your skills on practical assignments and gradually take on more complex responsibilities.
What are the key skills and qualifications needed to thrive in the Trainee Python Developer position, and why are they important?
To thrive as a Trainee Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant educational background such as a degree in computer science or completion of a coding bootcamp. Familiarity with version control systems like Git, basic knowledge of databases, and hands-on experience with development environments are commonly expected; certifications in Python or related technologies can be a plus. Eagerness to learn, attention to detail, and strong communication skills help set candidates apart in this collaborative and growth-focused role. These competencies are vital for effectively contributing to development projects, adapting to evolving technologies, and progressing in a software development career.
What are the most commonly searched types of Python Developer jobs in Ashburn, VA? The most popular types of Python Developer jobs in Ashburn, VA are:
What are popular job titles related to Trainee Python Developer jobs in Ashburn, VA? For Trainee Python Developer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Trainee Python Developer jobs in Ashburn, VA look for? The top searched job categories for Trainee Python Developer jobs in Ashburn, VA are:
$100K - $120K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 15 days ago
Job description
Job Summary:
We are looking for motivated and enthusiastic trainees with a strong foundation in programming and emerging technologies. The ideal candidates should have hands-on knowledge of modern programming languages, familiarity with AI-enabled tools, and strong communication skills to effectively collaborate with teams and stakeholders
Key Responsibilities:
• Develop and Enhance GenAI Solutions : Build, fine-tune, and optimize LLM-based applications, ensuring high accuracy, reliability, and performance.
• Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model orchestration.
• Integrate AI into Products : Work with APIs, microservices, and backend systems to embed GenAI features into applications at scale.
• Monitor and Improve Model Performance : Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques.
• Collaborate and Ensure Responsible AI : Partner with cross-functional teams to implement secure, compliant, and ethically aligned AI systems
Qualification and Specialization:
Required Skills & Qualifications:
• Design, build, and optimize GenAI solutions using LLMs, transformer-based models, and multimodal architectures for real-world business applications.
• Fine-tune and evaluate pre-trained models (e.g., GPT, Llama, Claude, Gemini) using domain-specific datasets to improve accuracy and performance.
• Develop scalable AI pipelines including data ingestion, model training, inference services, and deployment on cloud platforms (Azure/AWS/GCP).
• Implement Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems.
• Integrate GenAI models into applications via APIs, SDKs, microservices, or custom backend frameworks (Python/Node.js).
• Optimize model performance through prompt engineering, model compression, quantization, and latency reduction techniques.
• Collaborate with cross-functional teams (data engineers, product owners, designers) to translate business needs into AI capabilities.
• Ensure security, compliance, and responsible AI practices including data privacy, model monitoring, bias mitigation, and ethical guidelines.
• Conduct experimentation and benchmarking to evaluate model performance, run A/B tests, and document results for continuous improvement.
• Stay up to date with the latest advancements in generative AI, LLM frameworks, and open-source tools while contributing to internal innovation initiatives.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000-$120,000 a year
We are looking for motivated and enthusiastic trainees with a strong foundation in programming and emerging technologies. The ideal candidates should have hands-on knowledge of modern programming languages, familiarity with AI-enabled tools, and strong communication skills to effectively collaborate with teams and stakeholders
Key Responsibilities:
• Develop and Enhance GenAI Solutions : Build, fine-tune, and optimize LLM-based applications, ensuring high accuracy, reliability, and performance.
• Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model orchestration.
• Integrate AI into Products : Work with APIs, microservices, and backend systems to embed GenAI features into applications at scale.
• Monitor and Improve Model Performance : Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques.
• Collaborate and Ensure Responsible AI : Partner with cross-functional teams to implement secure, compliant, and ethically aligned AI systems
Qualification and Specialization:
Required Skills & Qualifications:
• Design, build, and optimize GenAI solutions using LLMs, transformer-based models, and multimodal architectures for real-world business applications.
• Fine-tune and evaluate pre-trained models (e.g., GPT, Llama, Claude, Gemini) using domain-specific datasets to improve accuracy and performance.
• Develop scalable AI pipelines including data ingestion, model training, inference services, and deployment on cloud platforms (Azure/AWS/GCP).
• Implement Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems.
• Integrate GenAI models into applications via APIs, SDKs, microservices, or custom backend frameworks (Python/Node.js).
• Optimize model performance through prompt engineering, model compression, quantization, and latency reduction techniques.
• Collaborate with cross-functional teams (data engineers, product owners, designers) to translate business needs into AI capabilities.
• Ensure security, compliance, and responsible AI practices including data privacy, model monitoring, bias mitigation, and ethical guidelines.
• Conduct experimentation and benchmarking to evaluate model performance, run A/B tests, and document results for continuous improvement.
• Stay up to date with the latest advancements in generative AI, LLM frameworks, and open-source tools while contributing to internal innovation initiatives.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000-$120,000 a year