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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Software Engineer - US / NYC - **Company:** Indicium AI, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $180,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Communications Protocols, Information Engineering, JSON, Python (Programming Language), Search Technologies, SQL Databases, Unstructured Data, Data Server Interface, Large Language Models, Multi-Agent Systems, Data Lakes, Pyspark, Virtual Agents, Data Pipelines, Databricks - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4e186f4ef6405606 ## About the Role * Agentic AI & Orchestration: Proven track record building and deploying production multi-agent systems, RAG platforms, and MCP servers using frameworks like LangGraph, AutoGen, or CrewAI. * Data Engineering & Lakehouse Depth: 5+ years of experience with Databricks, PySpark, Delta Lake, SQL, and Python-with specific expertise optimizing high-QPS analytical queries and processing unstructured enterprise documents (PDFs, contracts, logs). * Statistical Rigor & Model Evals: Strong foundation in quantitative methods, statistics, or applied ML (M.S./Ph.D. or equivalent industry experience) to evaluate model uncertainty, ground truth, and non-deterministic systems systematically. * Client-Facing / Consultative Muscle: Demonstrated ability to run technical discovery calls, manage non-technical client stakeholders, handle technical pushback, and lead co-engineering efforts on-site. ## Description The Senior Forward Deployed AI Engineer, Data Platform & Agents bridges the gap between complex enterprise data estates (Databricks, Lakehouses, vector stores) and frontier agentic AI execution (Anthropic Claude, multi-agent frameworks, custom MCP servers). Sitting embedded directly with client CDOs, VPs of Data, and engineering leadership, you will translate messy operational workflows and fragmented data sources into production-grade multi-agent platforms, real-time context retrieval systems, and LLM evaluation architectures. This is a high-agency "builder-consultant" role for engineers who care as much about stakeholder adoption and runtime business impact as they do about model accuracy, protocol design, and low-latency data execution., * Agentic Tooling & MCP Architecture: Architect and deploy custom data interfaces and tool servers using the Model Context Protocol (MCP), function calling, and structured JSON schemas-enabling autonomous AI agents to query, synthesize, and execute actions across 10+ disparate enterprise data sources safely. * Enterprise Lakehouse & Retrieval Engineering: Build high-performance data pipelines, vector search, and hybrid RAG layers over Lakehouse environments (Databricks, PySpark, Delta Lake, Unity Catalog)-slashing retrieval times and optimizing CPU/GPU query runtimes over massive structured and unstructured datasets. * Embedded Client Execution & PoCs: Sit side-by-side with client technical teams to run daily requirements discovery, lead architecture reviews, and rapidly ship zero-to-one production Proofs of Concept (PoCs) in weeks rather than months. * LLM Evals, Observability & Guardrails: Implement robust evaluation frameworks (LLM evals, hallucination tracking, retrieval precision/recall) and observability pipelines to monitor non-deterministic agent behavior and guarantee reliability in strictly regulated enterprise environments (Financial Services, Healthcare). * Enterprise Security & Data Isolation: Collaborate with client CISO and security governance teams to enforce strict access-control lists (ACLs), multi-tenant isolation, row/column-level permissions, and zero-data-leakage constraints. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)