AI/ML Engineer

Navinyaa; Doddaballapura; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Navinyaa is seeking an experienced AI/ML Engineer in Doddaballapura, India, to lead the development and productionization of advanced AI Agent ecosystems. This role involves orchestrating multi-agent systems and developing ML models for clinical data analysis.

The successful candidate will design multi-agent workflows, develop machine learning pipelines, and ensure data compliance with HIPAA standards. Familiarity with LLM frameworks and experience in the healthcare domain is highly preferred.

Qualifications

• Advanced proficiency in Python for ML data science workloads.
• Strong experience with LLM orchestration frameworks.
• Deep understanding of Natural Language Processing (NLP).

Responsibilities

• Design and build multi-agent workflows using TypeScript/Node.js.
• Develop and train Python-based machine learning pipelines.
• Maintain and improve Agent 1, advance Agent 2, and mature Agent 3.

Skills

Advanced proficiency in Python

TypeScript/Node.js

LLM orchestration frameworks

Natural Language Processing (NLP)

Hands-on experience with Snowflake

Tools

Snowpark

Job description

Doddaballapura, India | Posted on 06/13/2026

Role Overview: We are seeking a highly skilled AI/MLEngineer to lead the development, scaling, and productionization of our advanced AI Agent ecosystem. In this role, you will be responsible for orchestrating multi-agent LLM systems and developing machine learning models to analyze complex clinical data for our maternal-care platform.

You will directly oversee and mature three critical intelligent agents: Agent 1 production billing reconciliation and payer eligibility), Agent 2 navigation automation), and Agent 3 clinical pattern recognition executing against an 11K+ escalation corpus).

Key Responsibilities:

• AgentOrchestration: Design, build, and optimize multi-agent workflows using TypeScript/Node.js to call enterprise LLM APIs.
• MLPattern Recognition: Develop and train specialized Python-based machine learning pipelines to ingest and detect anomalies, trends, and risk indicators within an 11K+ clinical escalation corpus.
• AgentLifecycle Management: Maintain and iteratively improve Agent 1 (cross-reconciliation across PCM/BHI/RPM/CCM), advance Agent 2 through its deployment phases, and mature Agent 3 from build to production readiness.
• DataPipeline Integration: Work closely with the data engineering team to process structured and unstructured data via Snowflake (Snowpark /Python APIs) and ensure data compliance with HIPAA standards for handling Protected Health Information (PHI).
• SystemPerformance & Evaluation: Establish strict evaluation frameworks (evals) for LLM outputs to guarantee clinical safety, accuracy, and mitigation of hallucinations in triage recommendation queues.

Requirements

Required Technical Skills & Qualifications:

• Languages: Advanced proficiency in Python (for ML data science workloads) and TypeScript/ Node.js (for backend orchestration and API integration).
• AI/LLM Frameworks: Strong experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or LangGraph) and commercial/open-source LLM APIs.
• MachineLearning NLP: Deep understanding of Natural Language Processing (NLP), text embedding generation, vector databases, and pattern-recognition techniques applied to unstructured text datasets.
• DataStack: Hands-on experience with Snowflake and Snowpark using Python APIs.
• Healthcare Domain (Highly Preferred): Familiarity with US healthcare compliance, HIPAA data privacy requirements, and navigating clinical nomenclature.