Jr Agentic AI Engineer

About CodeRoad

CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.

About the Role

We’re looking for a Junior Agentic AI Engineer to co-build next-generation AI systems powered by RAG and agent-based architectures. You’ll work hands-on designing intelligent workflows, connecting LLMs with real data, and contributing to production-ready AI tools.

This is not a “prompting-only” role — you’ll be coding, integrating, testing, and learning fast in a real-world AI environment.

Key Responsibilities

Co-develop RAG pipelines and agentic workflows for real business use cases

Implement vector search, chunking strategies, and prompt orchestration

Integrate LLMs with APIs, databases, and external systems

Contribute to model deployment, monitoring, and evaluation pipelines

Write clean, maintainable code and support testing (unit & integration)

Collaborate with senior engineers on system design and improvements

Requirements

1–3 years of experience with Python and backend development

Hands-on exposure to LLM-based applications or AI tooling

Experience with: LangChain / LangGraph, FastAPI and REST APIs, SQL databases

Understanding of: RAG concepts and vector databases, Prompt engineering basics (ReAct, guardrails)

Familiarity with Docker and modern dev workflows

Strong problem-solving mindset and willingness to learn fast

Advanced English for working with US teams

Nice to Have

Experience with MLFlow or evaluation frameworks

Exposure to embeddings (dense/sparse) and NLP preprocessing

Azure ecosystem (Blob Storage, Container Apps)

Memory frameworks for agentic systems

What You’ll Love

100% Remote

Holidays off

Paid Time Off

Health insurance assistance program

Competitive USD compensation

Strong team culture and collaborative environment

Ongoing training and growth opportunities