Software Engineer

We are looking for a software engineer with 3-4 years of experience to help build and evolve a modern, full-stack platform with strong AI/ML capabilities. You will work across backend and frontend features, integrations, data pipelines, and AI-enabled workflows. This is a product-focused role with real ownership, fast iteration, and strong emphasis on code quality and scalable systems.

What You Will Do

•⁠ ⁠Build end-to-end features spanning backend services, APIs, and frontend experiences.

•⁠ ⁠Design and implement data models, REST APIs, and asynchronous workflows.

•⁠ ⁠Work with AI/ML capabilities including LLMs, embeddings, retrieval systems, and intelligent workflows.

•⁠ ⁠Build agentic AI features such as tool-using agents, multi-step reasoning, and orchestration patterns.

•⁠ ⁠Implement data pipelines for ingestion, transformation, and feature preparation.

•⁠ ⁠Integrate external APIs and third-party services.

•⁠ ⁠Write clean, well-tested code with strong attention to type safety and maintainability.

•⁠ ⁠Improve performance, reliability, and security across the stack.

Minimum Qualifications

•⁠ ⁠3-4 years of professional software engineering experience.

•⁠ ⁠Strong backend development skills in Python (FastAPI or comparable framework).

•⁠ ⁠Experience building REST APIs and working with SQL databases (PostgreSQL preferred).

•⁠ ⁠Familiarity with AI/ML concepts (embeddings, prompt engineering, model evaluation).

•⁠ ⁠Experience with async patterns, background jobs, or event-driven architectures.

•⁠ ⁠Frontend experience with TypeScript and a modern framework (Angular, React, or Vue).

•⁠ ⁠Comfortable with Docker and local development workflows.

•⁠ ⁠Solid understanding of testing practices and code quality tooling.

Nice to Have

•⁠ ⁠Hands-on experience building or integrating LLM-based applications in production.

•⁠ ⁠Experience with agentic AI patterns (function calling, tool use, planning, guardrails).

•⁠ ⁠Familiarity with vector databases (pgvector, Pinecone, Weaviate, FAISS).

•⁠ ⁠Experience with Angular 17+ and modern Angular architecture.

•⁠ ⁠SQLAlchemy 2.0 and Alembic migration workflows.

•⁠ ⁠Knowledge of MLOps practices (model versioning, monitoring, A/B testing).

•⁠ ⁠Experience with OAuth integrations and third-party API sync pipelines.

•⁠ ⁠Familiarity with AWS services (S3, Lambda, etc.) and cloud deployment.

Our Stack

•⁠ ⁠*Backend:* Python (FastAPI), async services, REST APIs

•⁠ ⁠*Database:* PostgreSQL, vector search capabilities

•⁠ ⁠*Frontend:* TypeScript, modern framework (Angular/React/Vue)

•⁠ ⁠*AI/ML:* LLMs, embeddings, retrieval augmentation, agentic workflows

•⁠ ⁠*Infrastructure:* Docker, CI/CD pipelines, automated testing

•⁠ ⁠*Cloud:* AWS

What to Expect:

This role offers strong growth opportunities in AI/ML engineering. We value engineers who are curious, pragmatic, and excited to solve real problems with emerging technologies.

Salary Market Competative

Job Type: Full-time

Work Location: Remote