Senior AI/ML Engineer - Agentic Systems

About ZakiPoint Health ZakiPoint Health is a healthcare technology company delivering AI-powered SaaS solutions that bring transparency to healthcare data — helping organizations reduce costs, improve member engagement, and make better healthcare decisions. With teams across the USA and Nepal, we're committed to transforming healthcare through innovation and data-driven insights. Senior AI/ML Engineer – Agentic Systems & Platforms 📍 Location: Remote / Hybrid — Nepal / India 🕒 Type: Full-time About the Role We're looking for an exceptional Senior AI/ML Engineer to lead the architecture, development, and deployment of cutting-edge agentic AI systems designed to transform the patient journey. In this role, you'll work at the frontier of AI — moving beyond static LLM wrappers to build autonomous, multi-agent workflows and high-impact platforms that directly improve healthcare outcomes. You won't just build core agents to automate and assist complex healthcare workflows — you'll also architect the core infrastructure that lets internal teams and users design, curate, and deploy their own custom agents safely at scale. Key Responsibilities Architect & Deploy Agentic Systems — Design, build, and deploy production-grade multi-agent architectures (ReAct, plan-and-execute, tool-augmented reasoning, stateful multi-agent collaboration) to enhance the patient healthcare experience.Build User-Facing Agent Platforms — Drive the engineering of workflow orchestration tools that empower non-engineers and domain experts to build, curate, test, and deploy custom AI agents.Systems & API Design — Architect resilient, low-latency microservices and pipelines integrating foundation models with internal systems, vector databases, and external data sources.Drive LLMOps & Observability — Implement evaluation, benchmarking, guardrail, and tracing pipelines (agentic execution, hallucination rates, tool usage accuracy, cost/latency tradeoffs).AI Safety & Compliance — Ensure all AI systems adhere to the highest standards of safety, determinism, data privacy, and security in a sensitive healthcare context.Technical Leadership — Benchmark and integrate state-of-the-art open-source and proprietary models, staying ahead of advances in foundation models, function calling, and context window optimization. Key Responsibilities ✅ 8–10+ years of professional software engineering experience building scalable, distributed systems in production✅ 5+ years developing, fine-tuning, and deploying ML models, with 2+ years focused on LLMs, generative AI, and agentic frameworks✅ Hands-on experience with modern agent orchestration frameworks (LangGraph, AutoGen, CrewAI, LlamaIndex, or custom in-house agentic engines)✅ Strong proficiency in Python and modern backend architectures (FastAPI, Rust, Go, microservices, event-driven, async processing)✅ Deep expertise with vector databases (Qdrant, Pinecone, Weaviate), hybrid search, semantic caching, and dynamic context/memory management✅ Proven experience building evaluation frameworks (Ragas, TruLens, Braintrust, LangSmith) to measure agent performance, accuracy, and latency Preferred Qualifications ➕ Healthcare domain knowledge (Claims Data or related healthcare data standards) — a plus, not required ➕ Prior experience building low-code/no-code workflow builders, developer tools, or extensible SDKs/APIs What Sets Our Top Candidates Apart 🎯 Pragmatic Systems Engineering over "Prompt Hacking" — you treat LLM outputs as non-deterministic components within a well-engineered, deterministic system, and know when not to use an LLM.🎯 Obsession with Evals & Metrics — no shipping on "vibe checks"; you build rigorous regression suites, synthetic evaluation pipelines, and automated guardrails before calling a feature done.🎯 Product & User Mindset — you understand how latency, UI responsiveness, and agent transparency directly affect patient trust.🎯 Architectural Flexibility — you build modular, provider-agnostic infrastructure that can swap models, APIs, and frameworks without rewriting core logic. 📋 Before You Apply — Please Read Carefully Make sure you meet the required qualifications above (especially the 8–10+ years overall and 5+ years AI/ML experience) before applying — applications that clearly don't meet these will not move forward.Apply either through LinkedIn or by emailing your CV to jobs@zakipoint.com with the subject line: "Senior AI/ML Engineer – Agentic Systems & Platforms." Please don't submit both.When emailing, include:Relevant AI/ML project detailsGitHub/portfolio links (if available)Current locationAvailability to joinIncomplete applications (missing the above details) may delay review.Only shortlisted candidates will be contacted for the next stage.