AI Engineer & Consultant — Agents, Applications & Integrations

About this Gig

I build production-grade AI systems for teams that need them to actually work — not demos that fall over the moment real users touch them. With ~8 years as a software engineer shipping real-time, performance-sensitive products, I bring engineering discipline to a space that badly needs it: reliable agents, well-architected applications, and integrations that hold up under load. If you have an idea for an AI feature, an internal tool, or a workflow you want automated, I can take it from concept to deployed and maintainable. What I do AI Agents Autonomous and semi-autonomous agents that use tools, call APIs, and complete multi-step tasks reliably. Agent design and orchestration — single-agent and multi-step workflows Tool use and function calling with proper error handling and guardrails Model Context Protocol (MCP) servers to connect agents to your systems and data Evaluation harnesses so you can measure whether an agent is actually getting better, not just different AI Applications End-to-end applications with an LLM at the core — built like real software, with state management, testing, and a deployment story. Chat interfaces, copilots, and AI-assisted tools tailored to your domain Retrieval-augmented generation (RAG) over your documents and data Structured outputs that integrate cleanly with existing software instead of producing free text you can't parse Front-to-back delivery: UI, backend, model layer, and hosting AI Integrations Adding intelligence to systems you already run, without ripping them apart. LLM integration into existing apps, APIs, and internal tooling Automation of repetitive workflows (document processing, classification, drafting, summarization) Connecting AI to the tools your team uses through APIs and MCP Provider selection and cost/latency tradeoff analysis (hosted APIs vs. self-hosted/local models) How I work Consulting & advisory — Architecture reviews, build-vs-buy decisions, model and tooling selection, and a realistic roadmap. Useful when you know AI should be part of the picture but want a clear plan before committing budget. Build engagements — Scoped, fixed-deliverable projects where I design and ship a working system. You get clean, documented code you own and can maintain. Fractional / ongoing — Embedded support for a team that needs senior AI engineering on a recurring basis without a full-time hire. I work transparently: clear scope, regular check-ins, and honest assessments — including telling you when AI isn't the right tool for the job. Why work with me Senior engineering background. ~8 years building production software, including real-time systems where performance, reliability, and deployment actually matter. AI systems break in subtle ways; I know how to make them robust. Hands-on with the modern agentic stack. Day-to-day experience with agentic development tooling, MCP servers, structured outputs, and both hosted and locally-run models — so my recommendations come from building, not just reading. I ship. My work is deployed and used, not parked in a notebook. I handle the unglamorous parts — error handling, evaluation, cost control, and the deployment pipeline. Pragmatic about cost and lock-in. I'll help you pick the right model and provider for your budget and constraints, including self-hosted options where they make sense. Tech I work with Python · TypeScript/JavaScript · C# · LLM APIs (Anthropic, OpenAI, and others) · Model Context Protocol (MCP) · RAG and vector search · local/self-hosted models · web deployment and CI/CD Let's talk Tell me what you're trying to build or automate, and I'll tell you honestly whether and how I can help. Benet Aggas Jude Bengaluru, India · Available for remote engagements worldwide

Requirements

To get started, tell me: 1.The goal — what you want to build or automate, and what "working" looks like to you. A rough description is fine; I'll help sharpen it. 2. The problem today — how this is handled now (manually, with another tool, not at all) and what's painful about it. 3. Systems & data involved — what apps, APIs, or data sources it needs to connect to or draw from, and roughly what shape that data is in. 4. Users — who will use this and how (internal team, your customers, just you). 5. Constraints — timeline, rough budget range, and any hard requirements (data privacy/compliance, must run on-premise, preferred or banned providers). 6. Engagement type — whether you want advice/a plan, a built-and-shipped system, or ongoing support. Point of contact — who I'll work with and who signs off on decisions. You don't need polished answers — bullet points or a quick call work fine. The clearer you are on the goal and constraints, the faster I can come back with a concrete scope and quote.

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