We are seeking a talented Forward Deployed Engineer with strong expertise in Python software engineering, Artificial Intelligence, and production deployment. This role involves developing, integrating, and deploying AI-powered applications that solve real-world business challenges. The ideal candidate will work closely with business stakeholders to understand their needs and translate them into scalable, reliable, and production-ready technical solutions.
Key Responsibilities
- Design, develop, and maintain scalable software applications using Python.
- Build and integrate AI-powered applications, including Large Language Model (LLM)-based solutions and intelligent automation workflows.
- Develop AI agents and agentic workflows to automate business processes and enhance operational efficiency.
- Implement Retrieval-Augmented Generation (RAG) solutions and integrate LLMs into existing applications.
- Deploy, manage, and maintain applications in production environments.
- Work extensively with cloud platforms, particularly AWS services such as S3, OpenSearch, and DynamoDB.
- Utilize Docker, Kubernetes, and CI/CD pipelines for efficient application deployment and management.
- Collaborate with cross-functional teams and business stakeholders to gather requirements and deliver effective solutions.
- Monitor application performance, troubleshoot issues, and continuously improve deployed solutions.
- Ensure code quality, scalability, security, and maintainability across all applications.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Minimum of 5 years of professional software engineering experience.
- Strong proficiency in Python and backend application development.
- Hands-on experience with AI-powered applications and integration of Large Language Models (LLMs).
- Familiarity with AI agents, agentic workflows, and Retrieval-Augmented Generation (RAG) techniques.
- Proven experience deploying and maintaining applications in production environments.
- Working knowledge of AWS services, especially S3, OpenSearch, and DynamoDB.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Proficient in CI/CD pipelines and automation tools like GitHub Actions or equivalents.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently while collaborating effectively with both technical and non-technical stakeholders.
Preferred Qualifications
- Experience in financial services, fintech, investment management, or capital markets.
- Exposure to Model Context Protocol (MCP), Claude Code, and agentic coding tools.
- Familiarity with financial documents, market data, SEC filings, and enterprise data sources.
- Demonstrated ability to deliver end-to-end AI solutions, from requirements gathering through to production deployment.
What We Offer
- The opportunity to work on cutting-edge AI-driven engineering solutions.
- Exposure to modern AI technologies and enterprise-scale applications.
- A collaborative and technically driven work environment.
- Opportunities for professional growth and development.
A Culture of Belonging: We value diversity and inclusion deeply. As an equal opportunity employer, we are committed to fostering a workplace where every voice is heard, every individual is respected, and everyone has the chance to succeed.