AI/ML Engineer Enterprise Agentic AI
Innovun Global · Not specified · onsite · Posted 5d ago
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About this role
AI/ML Engineer – Agentic AI (2–3 Years Experience)
Location: India · Full-time · Remote
Project: Healthcare (USA & LATAM)
About Innovun Global
Innovun Global drives digital transformation through tailored technology and AI solutions for forward-looking businesses. We focus on measurable outcomes, strong ROI, and people-centric innovation, building intelligent products that create lasting impact. With human expertise amplified by cutting-edge technology, Innovun Global builds intelligent, transformative products that create lasting impact. The company values courage, collaboration, and people-centric innovation, inviting partners to bring bold ideas to life.
Role Overview
You will design, build, and deploy agentic AI systems that autonomously reason, plan, and act across complex workflows. You'll work with cross-functional teams to turn business requirements into production-grade AI agents for healthcare use cases, with ownership across RAG pipelines, prompts, evaluation, and safety guardrails.
Job Responsibilities
- Build end-to-end RAG pipelines (ingestion, retrieval, grounding, generation) for real-world applications.
- Develop information extraction and ranking models to structure unstructured data.
- Design prompts and agent orchestration (single- and multi-agent), including human-in-the-loop steps.
- Define and run evaluation frameworks for quality, relevance, latency, and reliability.
- Implement safety and compliance guardrails (policies, filters, auditability).
- Integrate AI services with backend APIs, workflows, and dashboards.
- Instrument agents for observability (logging, tracing, error analysis) and continuous improvement.
Qualifications
- 2–3 years in AI/ML engineering, including hands-on work with LLMs or conversational AI.
- Strong Python skills and experience with modern backend frameworks (e.g., FastAPI, Node/NestJS).
- Practical experience with NLP and vector-search/RAG (pgvector, Pinecone, Weaviate, Milvus, etc.).
- Solid understanding of agentic AI patterns, prompt design, and evaluation methods.
- Familiarity with AI safety and responsible AI practices (privacy, fairness, transparency).
- Experience in cloud environments (AWS/Azure/GCP), CI/CD, and monitoring.
- Bachelor's or Master's in CS/AI/Data Science or equivalent experience.
Nice to Have
- Experience with agent frameworks (e.g., LangGraph or similar).
- Exposure to enterprise/B2B AI products and multilingual document processing.
Impact of the Role
You'll be a key contributor in shaping AI agents that support complex healthcare and operational workflows, ensuring they are grounded in real data, safe to use, and easy to evolve.
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