Job description
Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area.
Top 5 Technical Skills:
- Python
- Gen AI
- SQL
- AWS Data Services
- LLM
- ML
- Sagemaker
- Bedrock
Top 3 Soft Skills:
- Confidence in Communication skills for Teamwork and sharing
- Stand alone to get work done, Independent
- Flexibility
Job Description:
Experience:
10+ years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
2 3 years of experience in data analysis or machine learning roles.
Proficiency in Python and SQL for data manipulation and analysis.
Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
Strong understanding of financial data, KPIs, and reporting standards.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience in the finance or fintech industry.
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field
Jake Lutman
Technical Recruiter
Systems Engineering Services
Frequently asked questions
Q: What skills or qualities help someone succeed as a Python Developer?
A: To succeed as a Python Developer, key technical skills include proficiency in Python programming language, experience with popular libraries and frameworks such as NumPy, pandas, and Flask or Django, as well as knowledge of data structures, algorithms, and object-oriented programming. Additionally, strong problem-solving skills, attention to detail, and the ability to learn and adapt quickly are essential soft skills, along with effective communication and collaboration skills to work with cross-functional teams. By combining these technical and soft skills, a Python Developer can efficiently design, develop, and deploy scalable and maintainable software solutions, driving career growth and effectiveness in the role.
Q: What is the career path for a Python Developer?
A: A Python Developer's typical career progression involves starting as a Junior Python Developer, where they focus on writing clean, efficient code and learning industry-standard frameworks and libraries. As they gain experience, they can move into mid-level roles such as Python Engineer or Senior Python Developer, where they take on leadership responsibilities, mentor junior team members, and contribute to the design and architecture of complex systems. Ultimately, senior Python Developers can transition into technical lead or architect positions, or explore adjacent roles like Data Scientist, DevOps Engineer, or Technical Product Manager, leveraging their expertise in Python and software development to drive business growth and innovation.
