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 integrating LLM capabilities into production enterprise systems. You will join a collaborative, fast-paced team dedicated to building the next generation of AI-powered software. The project involves architecting sophisticated multi-step task orchestration workflows, developing autonomous AI agents, and bridging AI models with external platforms using open integration standards like the Model Context Protocol (MCP). As a Backend Engineer, you will be instrumental in executing rapid prototyping and driving production support to deliver highly reliable, goal-oriented AI systems.
Key Responsibilities
AI Integration: Build AI-powered software and integrate Large Language Model (LLM) capabilities seamlessly into production enterprise systems.
Agentic Development: Design and develop autonomous AI agents, tool-calling systems, and multi-step task orchestration workflows.
MCP Integration: Leverage Model Context Protocol (MCP) or equivalent open integration standards (e.g., custom tool-calling interfaces, JSON-RPC adapters) to connect AI models with external platforms and tools.
Backend Architecture: Build and maintain scalable distributed software architectures, utilizing REST/gRPC APIs and applying strong system design principles.
Context & Reliability Management: Optimize context window management and implement strict reliability patterns for LLM execution at scale.
Agile Delivery: Execute across the full software lifecycle—from experimentation and rapid prototyping to production support—under tight delivery timelines.
Must-Have Skills
Engineering Experience: Hands-on software engineering, backend systems, or applied AI engineering experience. (4+ YEARS OF EXPERIENCE)
Core Programming Mastery: Advanced proficiency in Python and/or Java for backend development and algorithm execution.
Applied AI & LLM Systems: Direct, proven experience building AI-powered software or integrating LLMs into enterprise-grade applications.
Agentic Frameworks: Hands-on experience developing autonomous AI agents and multi-step workflows.
MCP Integration Literacy: Practical experience using Model Context Protocol (MCP), custom tool-calling, or JSON-RPC adapters.
Production Fundamentals: Strong grounding in distributed architectures, API design (REST/gRPC), and reliability patterns.
Mindset & Delivery: Proven ownership mindset, comfortable navigating both rapid experimentation and robust production support.
Fluent English: Excellent verbal and written communication skills for daily technical collaboration and documentation.
Nice-to-Have Skills
Advanced AI Architectures: Hands-on experience with Retrieval-Augmented Generation (RAG), multi-agent orchestration frameworks, semantic search, or vector database platforms (e.g., Pinecone, Qdrant, Milvus).
Enterprise Platform Integrations: Background integrating AI solutions with platforms such as Salesforce, Jira, Slack, or internal developer portals.
AI Observability & MLOps: Familiarity with cloud-native infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and AI monitoring platforms (e.g., LangSmith, Arize, Datadog).
Safety & Lifecycle Management: Experience implementing model guardrails, safety protocols, evaluation suites, and prompt/version control management.
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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Skills Required
- 4+ years of hands-on software engineering, backend systems, or applied AI engineering experience
- Advanced proficiency in Python and/or Java
- Proven experience building AI-powered software or integrating LLMs into enterprise applications
- Experience developing autonomous AI agents and multi-step workflows
- Practical experience with Model Context Protocol, custom tool-calling, or JSON-RPC adapters
- Strong knowledge of distributed architectures, REST/gRPC API design, and reliability patterns
- Ownership mindset and ability to manage rapid experimentation and production support
- Fluent English communication skills
- Experience with RAG, multi-agent orchestration, semantic search, or vector databases such as Pinecone, Qdrant, or Milvus
- Experience integrating AI solutions with Salesforce, Jira, Slack, or internal developer portals
- Familiarity with AWS, GCP, Azure, Docker, Kubernetes, LangSmith, Arize, or Datadog
- Experience implementing model guardrails, safety protocols, evaluation suites, and prompt/version control
What We Do
In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]
