Executive Clinical Specialist in Bengaluru

Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare platforms. Champion AI-First Software Engineering practices across the development lifecycle. Lead the adoption of AI-Augmented Development , including spec-driven development, AI-assisted coding, code reviews, testing, and documentation. Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage. Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization. Mentor enginee

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. As an Application Engineer for AI Automation , you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI. Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Opportunity, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication , creating a seamless autonomous workflow across our tech stack. Key Responsibilities Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, Renewal) and other core platforms to AI agents. Data Model Synthesis: Rapidly decompose the data models of enterprise applications like Zuora, Salesforce, and ServiceNow to build effective schemas for AI interaction. Build AI Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) workflows and AI agents that can execute complex tasks with minimal human intervention. Agentic Orchestration: Lead the transition from simple chatbots to Agentic AI , focusing on multi-agent collaboration and autonomous "Agent-to-Agent" communication. Integra

... Address: & 34 Plot no - 14 15 16 17 GRAM PANCHAYATHI SURVEY NO-9/2 HOBLI BHEEMNAHALLI VILLAGE Bidadi Manchanayakanahalli Karnataka Facility: BANGALORE DISTRIBUTION CENTRE Qualification: Graduate Experience: 2 - 5 years Source: Sodexo India | Job Code: IJP573835

... Address: & 34 Plot no - 14 15 16 17 GRAM PANCHAYATHI SURVEY NO-9/2 HOBLI BHEEMNAHALLI VILLAGE Bidadi Manchanayakanahalli Karnataka Facility: BANGALORE DISTRIBUTION CENTRE Qualification: Graduate Experience: 2 - 5 years Source: Sodexo India | Job Code: IJP573838

... Address: BEE Building Brigade Tech Gardens Kundalahalli Brookefields Green Avenue Kundalahalli ITPL Main Rd Phase 2 Brookefield Bengaluru Karnataka Facility: JAGUAR LAND ROVER - BANGALORE FS Qualification: 10th Experience: 2 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP573632

... Address: Kirloskar Toyota Textile Machinery Pvt. Ltd, Plot 10/13, Phase II Jigani Industrial Area, Jigani, Bengaluru, Karnataka 560105 Facility: TOYOTA INDUSTRIES ENGINE INDIA - B'LORE Qualification: Graduate Experience: 4 - 5 years Source: Sodexo India | Job Code: IJP573125

... Address: Siemens Healthcare Private Limited Plot No. 240A Bommasandra Industrial area 3rd phase Anekal taluk Hosur road Bengaluru - 560 099. Facility: Siemens Healthcare_Bommasandra - B'lore Qualification: Diploma Experience: 3 - 6 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP573039

... Address: Siemens Healthcare Private Limited Plot No. 240A Bommasandra Industrial area 3rd phase Anekal taluk Hosur road Bengaluru - 560 099. Facility: Siemens Healthcare_Bommasandra - B'lore Qualification: Diploma Experience: 3 - 6 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP573040

... Address: NEW HORIZ EDU & CULT TRUS-BGLR, Kadubisanahally,Panathur,Bangalore Facility: NEW HORIZON EDU & CULTL TRUST Qualification: Graduate Experience: 2 - 3 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP570008

... Address: Google Facility: GOOGLE INDIA_FS BLR_KYOTO WEST_CORE Qualification: Not Specified Experience: 3 - 6 years Source: Sodexo India | Job Code: IJP568454

... Address: Google Facility: GOOGLE INDIA_FS BLR_KYOTO WEST_CORE Qualification: Not Specified Experience: 3 - 6 years Source: Sodexo India | Job Code: IJP568453

executive chef Address: Building 9 7th Floor Cessna Business Park Kaverappa Layout Kadubeesanahalli Bengaluru Karnataka 560103 Facility: RUBRIK INDIA - FS BANGALORE Experience: 10 - 12 years Source: Sodexo India | Job Code: IJP560066

... Address: Titanium Tech Park Survey No 54 55 56 58 PLOT NO 1 Kadugodi Sadaramangala Industrial Estate Old BPL Factory Bidarahalli Bengaluru Karnataka Facility: AIRBUS INDIA - FS B'LORE Qualification: 10th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP567862

... Address: GOOGLE Facility: GOOGLE INDIA_FS BLR_KYOTO EAST_CORE Qualification: Graduate Experience: 2 - 5 years Source: Sodexo India | Job Code: IJP566829