You will be at the forefront of the AI revolution, supporting a high-impact project focused on autonomous agents and intelligent backend architectures at In All Media Inc. As a Backend Engineer (AI Agentic), you will design and implement AI agents, build scalable backend services in Python, and develop RAG pipelines to power business intelligence at scale.
What You'll Do
- Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph.
- Build and maintain scalable, high-performance backend services using Python to support AI-driven features.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information.
- Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval.
- Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities.
- Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code.
What We're Looking For
- Deep expertise in LangChain, LangGraph, or Semantic Kernel. (3+ YEARS OF EXPERIENCE)
- Senior-level proficiency in Python (6+ YEARS OF EXPERIENCE) and its ecosystem for building robust APIs.
- Proven experience working with Pinecone, Weaviate, or similar vector search engines.
- Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns.
- A truly collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems.
- Excellent verbal and written communication skills for daily technical collaboration and documentation.
Nice to Have
- Experience deploying AI workloads on Kubernetes or Docker.
- Knowledge of advanced prompting techniques and LLM fine-tuning.
- Familiarity with data processing libraries like Pandas or Spark.
- Experience with tools for monitoring LLM performance and cost (e.g., LangSmith).
Technical Stack
- LangChain
- LangGraph
- Semantic Kernel
- Python
- Pinecone
- Weaviate
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- Kubernetes
- Docker
- Pandas
- Spark
- LangSmith
Team & Environment
Collaborative, fast-paced team dedicated to building the next generation of AI-driven solutions.
Benefits & Compensation
- Work on international challenges
- Collaborate with diverse teams
- Grow your career while being part of a company that values expertise, creativity, and impact
Work Mode
Global remote role with team locations in LATAM. Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours. Requires consistent overlap with teams in Central Time (CT).
We are an equal opportunity employer and value diversity at our company.
