Backend Engineer
Location
Remote
Posted
86 days ago
Salary
0
Seniority
Mid Level
Job Description
Backend Engineer
In All Media Inc
Role Description In this role, you will be at the forefront of the AI revolution, supporting a high-impact project focused on autonomous agents and intelligent backend architectures. You will join a collaborative, fast-paced team dedicated to building the next generation of AI-driven solutions. The project involves architecting sophisticated agentic workflows and leveraging advanced retrieval techniques to power business intelligence at scale. As a Backend Engineer (AI Agentic), you will be instrumental in transforming raw data and LLM capabilities into reliable, goal-oriented AI systems. Key Responsibilities - Agentic Development: Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph. - Backend Architecture: Build and maintain scalable, high-performance backend services using Python to support AI-driven features. - RAG Implementation: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information. - Vector Database Management: Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval. - System Integration: Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities. - Agile Collaboration: Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code. Qualifications - AI Frameworks: Deep expertise in LangChain, LangGraph, or Semantic Kernel (3+ years of experience). - Backend Mastery: Senior-level proficiency in Python (6+ years of experience) and its ecosystem for building robust APIs. - Vector Databases: Proven experience working with Pinecone, Weaviate, or similar vector search engines. - AI Specialization: Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns. - Soft Skills: A truly collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems. - Fluent English: Excellent verbal and written communication skills for daily technical collaboration and documentation. Nice-to-Have Skills - Cloud & Orchestration: Experience deploying AI workloads on Kubernetes or Docker. - Prompt Engineering: Knowledge of advanced prompting techniques and LLM fine-tuning. - Data Engineering: Familiarity with data processing libraries like Pandas or Spark. - Monitoring: Experience with tools for monitoring LLM performance and cost (e.g., LangSmith). Time Zone & Collaboration This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours. Language All interviews, documentation, and daily communication are in English.
Job Requirements
- AI Frameworks: Deep expertise in LangChain, LangGraph, or Semantic Kernel (3+ years of experience).
- Backend Mastery: Senior-level proficiency in Python (6+ years of experience) and its ecosystem for building robust APIs.
- Vector Databases: Proven experience working with Pinecone, Weaviate, or similar vector search engines.
- AI Specialization: Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns.
- Soft Skills: A truly collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems.
- Fluent English: Excellent verbal and written communication skills for daily technical collaboration and documentation.
- Nice-to-Have Skills
- Cloud & Orchestration: Experience deploying AI workloads on Kubernetes or Docker.
- Prompt Engineering: Knowledge of advanced prompting techniques and LLM fine-tuning.
- Data Engineering: Familiarity with data processing libraries like Pandas or Spark.
- Monitoring: Experience with tools for monitoring LLM performance and cost (e.g., LangSmith).
- Time Zone & Collaboration
- This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours.
- Language
- All interviews, documentation, and daily communication are in English.
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