Senior Generative AI Engineer

Coder Trove is looking for a Senior AI Engineer who enjoys building real AI systems — not just experimenting with models, but turning them into reliable products.

In this role, you'll work closely with our development and product teams to design and build practical AI solutions using modern LLM technologies. You'll help us develop and refine the AI capabilities of our platform, creating intelligent automation for invoice financing and business workflows.

We're looking for someone who is comfortable building production systems, thinking through technical approaches, and collaborating with the team to find the best way to solve problems with AI.
What You'll Work On

- Building LLM-powered services that automate financial and operational workflows

- Developing agent-style systems that can reason, use tools, and complete tasks

- Designing RAG pipelines to connect AI with business data

- Integrating AI features into backend APIs and existing systems

- Improving system reliability, performance, and cost efficiency across model providers

- Collaborating with product and customers to figure out the best AI-driven solutions

This is a hands-on engineering role where you'll have a lot of influence over how the system evolves.
Requirements

- 5+ years of software or AI engineering experience

- Strong Python development skills

- Experience building applications using LLMs or generative AI

- Familiarity with concepts like RAG, embeddings, or vector search

- Experience building APIs or backend services (FastAPI, Django, etc.)

- Comfort working in a collaborative environment and discussing technical approaches with teammates or customers

Nice to Have

- Experience with AI agent frameworks or orchestration tools

- Familiarity with vector databases or AI observability tools

- Experience deploying services using Docker or cloud platforms

- Frontend experience (React / Next.js / TypeScript)

- FinTech or financial systems experience

Why Join Coder Trove

- 13-month salary bonus

- 13 days annual leave + 10 days sick leave

- Flexible WFH when needed

- High-quality health insurance and annual health checkups

- Company trips and regular team events

- Office food delivered twice a week, plus drinks and snacks

- Support for training and certifications

- Friendly management team and a flexible working environment

- Opportunities to grow as the AI platform evolves

Originally posted on Himalayas