Design, develop and maintain scalable AI-powered digital applications and services, focusing on AI-enabled solutions like chatbots, AI agents, and MCP integrations.
Responsibilities
Design, develop, deploy and maintain scalable, secure and high-performance full-stack web applications, including frontend interfaces, backend services and APIs.
Build AI-powered applications and chatbots with session management, contextual understanding, streaming responses, and error handling.
Develop and integrate MCP servers and clients to enable secure access to data, tools and internal or external services.
Integrate Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) solutions into applications.
Implement security controls, including authentication, authorisation, access management, data protection, and AI security safeguards.
Lead design and implementation of high-scale, cloud-native services in a hybrid environment, driving architectural decisions and cross-team collaboration.
Locations (2)
Bangalore, India
Hyderabad, Telangana, India
Responsibilities
Understand how to build and operate high scale systems
Provide service and product wide architectural guidance, and drive impactful technical decisions
Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services
Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: AI/ML frameworks
Nice to have: intelligent data path analysis models
Build and deploy AI agents, tools, and intelligent workflows on Element's agentic AI platform for scoped business use cases.
Compensation
The hiring base salary for this position is $54,400 - $74,800 annually. This range represents the Company's good‑faith estimate of the expected base salary at the time of posting.
Responsibilities
Build and deploy AI agents, tools, and intelligent workflows on Element's agentic AI platform
Integrate agents with enterprise data sources, internal APIs, and business systems using Python and/or TypeScript
Apply retrieval‑augmented generation, tool or function calling, and multi‑step orchestration patterns
Join discovery sessions with internal business teams and document workflows
Support demos and pilot rollouts, gather user feedback, track adoption and outcome metrics
Requirements
Bachelor's degree in Computer Science, Engineering, or Data Science
Master's degree in Computer Science, Engineering, or Data Science
Design, build, and ship autonomous or semi-autonomous agents for operational workflows and own product delivery across agent logic, backend services, frontend experiences, and customer iteration.
Compensation
Base salary: €80,000 to €120,000 annually. Equity options are available. Visa sponsorship is not available.
Responsibilities
Design, build, and ship autonomous or semi-autonomous agents for operational workflows.
Own product delivery across agent logic, backend services, frontend experiences, and customer iteration.
Take initiatives from an initial hypothesis through production deployment and ongoing improvement.
Develop procurement and contract management tools, while identifying and building other high-impact product ideas.
Design, build, and maintain high-performance, cross-platform mobile applications using React Native and TypeScript.
Responsibilities
Architect and build new features, reusable components, and front-end user journeys using React Native and TypeScript.
Integrate RESTful or GraphQL APIs, handling offline storage, caching, and seamless state synchronization.
Diagnose and fix performance bottlenecks, memory leaks, and UI rendering lag to ensure an optimal user experience.
Write, maintain, and debug custom native modules or bridges when interacting with device hardware or platform-specific APIs.
Manage the mobile release cycle, managing code signing, provisioning profiles, and deployments via Expo Application Services (EAS), TestFlight, and Google Play Console.
The AI Solutions Engineer is the hands-on builder of the AI Hub Center of Excellence, turning architecture into production-grade agents and AI workflows using EVERSANA's enterprise AI stack.
Responsibilities
Design and build AI agents on Vertex AI Agent Builder, the Claude API, and Gemini Enterprise.
Productionize enterprise AI tooling for priority Patient Services use cases: intake automation, missing-information workflow, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims.
Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows against Patient Services data.
Implement MCP server integrations and agent tool/function definitions that expose enterprise systems to agents safely.
Integrate AI capabilities into Salesforce Health Cloud (Apex, LWC), MuleSoft (DataWeave), and Java SDLC touchpoints.
Requirements
Nice to have: MCP (Model Context Protocol)
Nice to have: healthcare or life-sciences technology
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