AI developer - Exeevo

Bangalore, Karnataka
Permanent
Full-time

7 days ago
Apply easily

About Exeevo:Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America.AI Developer Position OverviewWe are seeking an experienced Agentic AI Developer to build sophisticated AI agent applications that orchestrate Large Language Models (LLMs) and create intelligent, autonomous workflows. This role focuses on developing production-ready agentic AI systems. You'll have the opportunity to expand your skills in modern UI frameworks (Flutter/ReactJS) while working alongside diverse architecture teams.Key ResponsibilitiesAgentic AI Development

Design and build multi-agent AI applications with complex reasoning and decision-making capabilities
Implement LLM orchestration pipelines using frameworks like LangChain, AutoGen, CrewAI, or similar orchestration engines
Develop intelligent agent workflows that can plan, execute, and adapt tasks autonomously
Create agent-to-agent communication systems and collaborative AI workflows
Build tool-calling and function-calling capabilities for AI agents

LLM Integration & Orchestration

Integrate and orchestrate LLMs (OpenAI, Azure OpenAI, Anthropic Claude, open-source models)
Implement LLM routing, fallback strategies, and cost optimization across different models
Design prompt engineering pipelines and dynamic prompt generation systems
Build context management and memory systems for long-running agent conversations
Develop evaluation frameworks for agentic AI system performance

Application Development

Integrate agentic AI capabilities into mobile and web applications
Learn and apply Flutter or ReactJS frameworks for AI-powered user interfaces
Build conversational AI interfaces that support complex, multi-turn agent interactions
Develop real-time streaming interfaces for agent reasoning and execution
Create intuitive UX/UI for human-agent collaboration workflows

Integration & Deployment

Integrate AI agents with Dynamics 365 Sales and Power Platform applications
Develop intelligent automations using Power Automate with agentic AI capabilities
Build REST API endpoints for agent orchestration and management
Implement monitoring, logging, and observability for production agent systems

RequirementsMandatory Agentic AI Skills

2+ years hands-on experience building agentic AI applications or multi-agent systems
Proven experience with LLM orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar)
Experience with at ifferent LLM providers
Agent workflow design including planning, reasoning, and execution cycles
Tool integration for AI agents (APIs, databases, external services)

Core Technical Requirements

Programming Languages: Python (primary)
AI Platforms: Azure OpenAI, OpenAI API, experience with open-source LLM APIs
RAG (Retrieval-Augmented Generation) integration with agent systems
Vector database integration for agent memory and knowledge
Development Tools: REST APIs, Azure DevOps
Orchestration Experience: Building complex, stateful AI workflows and pipelines

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