AI & Financial Engineering Developer

Aktra Inc.

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 FinTech
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)

Key Responsibilities

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

Required Technical Skills

Languages: Python, Java, C++, Scala, SQL
Experience with REST APIs, microservices, Git, and modern development workflows

Preferred Qualifications

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 (QuantLib, pandas, NumPy)
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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Vacancy posted 2 days ago

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