Financial Engineering/AI Developer
Job in
Reston, Fairfax County, Virginia, 22090, USA
Listed on 2026-07-19
Listing for:
AKTRA INC
Full Time
position Listed on 2026-07-19
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
Job Description & How to Apply Below
Only considering candidates already local to the Washington, D.C. area who can start immediately.
We are seeking an experienced AI & Financial Engineering Developer with expertise in AI/ML, financial systems, and enterprise software development. This role is ideal for a hands-on engineer who can build AI-powered financial applications, develop scalable APIs, and collaborate with cross-functional teams to deliver innovative solutions.
Must-Have Qualifications- 7+ years of software development experience
- Strong experience building APIs and AI-powered applications
- Expert programming skills in Python with experience in Java, C++, or Scala
- 1–3 years of experience in financial services or Fin Tech
- Experience developing applications using LLMs
; experience with AI agents/agentic AI is highly preferred - Experience with cloud platforms (AWS, Azure, or GCP) and modern software engineering practices
- Bachelor's degree preferred (Master's or PhD in a quantitative field is a plus)
- Design, develop, and deploy AI/ML solutions for financial applications
- Build and optimize LLM, NLP, and generative AI applications
- Develop scalable APIs, microservices, and distributed systems
- Create data pipelines and implement MLOps best practices for model deployment and monitoring
- Develop quantitative models, financial analytics, and simulation tools
- Build real-time market data processing and financial analytics solutions
- Write production-quality, scalable, and maintainable code
- Collaborate with business stakeholders, quants, data engineers, and product teams
- Languages: Python, Java, C++, Scala, SQL
- Experience with REST APIs, microservices, Git, and modern development workflows
- Experience with RAG architectures, LLM fine-tuning, and AI agents
- Knowledge of quantitative finance, derivatives, risk management, or portfolio analytics
- Experience with financial engineering libraries (Quant Lib, pandas, Num Py)
- Familiarity with MLOps tools such as MLflow or Weights & Biases
- CFA, FRM, or other financial certifications are a plus
- Experience with reinforcement learning, real-time streaming, or low-latency systems is a plus
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