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Backend Engineer (AI Agentic) 1904/1905 at In All Media Inc

Role overview

Qualifications

  • Deep expertise in LangChain, LangGraph, or Semantic Kernel
  • Senior-level proficiency in Python (6+ years) for building robust APIs
  • Experience with vector databases such as Pinecone or Weaviate
  • Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns

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

About the company

In All Media logo

In All Media

IT Services & IT Consulting

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Company details

IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description


Position: Backend Engineer (AI Agentic)

Location: Remote from LATAM

Contract Type: Full-time Contractor

Time Zone Alignment: CT

About In All Media

We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.

Project Overview

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.

Must-Have Skills

  • 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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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