
Chief Software Engineer (AI-Powered Financial Assistant)
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Chief Software Engineer to build a next-generation AI-powered financial assistant platform that rapidly iterates with business users to deliver chat, reporting, and bespoke interfaces for investment workflows. You will lead hands-on engineering across design and delivery in a small, high-autonomy team.
Responsibilities
- Lead end-to-end delivery of an AI-powered assistant platform from concept to production
- Design scalable service architectures and define reliability, security, and performance requirements
- Build backend APIs and services in Python using FastAPI to support chat and reporting workflows
- Integrate LLM capabilities and apply AI-assisted development methods to accelerate delivery
- Translate high-level goals into detailed requirements, edge cases, and implementation plans
- Collaborate directly with business users to test, refine, and ship iterative product improvements
- Implement automated testing, observability, and incident-ready practices to maintain quality
- Deploy and operate services using cloud infrastructure and container orchestration
- Review code and enforce engineering standards for maintainability and correctness
- Mentor engineers and drive a culture of accountability, transparency, and excellence
Requirements
- 7+ years of experience in software engineering with advanced Python development
- 7+ years of experience building and shipping backend services using modern frameworks (FastAPI preferred)
- Senior leadership skills to drive technical decisions, set quality bars, and mentor engineers
- Strong project ownership to take loosely defined problems from discovery through delivery
- Expert system design skills to define architecture, edge cases, and reliability strategies
- Strong cloud infrastructure skills with Amazon Web Services in production environments
- Strong platform engineering skills with Kubernetes-based deployments
- Strong infrastructure as code skills with Terraform
- Strong AI engineering skills with Large Language Models (LLM) and Gen AI Assisted Development workflows
- High autonomy and self-governance to gather low-level requirements and deliver independently
- Strong communication skills to collaborate with highly technical stakeholders
- Willingness to learn and adopt new languages and tools in a fast-paced environment
- Advanced English skills (C1)
Nice to Have
- Experience with Amazon Web Services
- Experience with Kubernetes
- Experience with Terraform
- Experience with ReactJS
- Experience with Anthropic Claude Code
We Offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling, and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn
About the Company
[Company description if present]
© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.
More at EPAM
All 3139 roles
Solution Architect - HCL Commerce
EPAM · India

Lead Java Automation Test Engineer with AI
EPAM · India

Lead Software Developer - Java with AWS Cloud
EPAM · India

Solution Architect – Java Full Stack
EPAM · India