Designs, develops, and deploys autonomous and multi-agent AI systems for business workflows. Builds agentic applications using LLMs, RAG, vector databases, tool calling, memory, and orchestration frameworks. Integrates agents with enterprise applications, APIs, databases, CRMs, and ERPs while developing backend services and APIs. Optimizes solutions for scalability, security, performance, and cost, and collaborates with product, engineering, and business teams to identify automation opportunities.
About the Role
We are looking for a passionate Agentic AI Developer to design, build, and deploy intelligent AI agents that can automate real-world business processes and day-to-day workflows. The ideal candidate will work at the intersection of Artificial Intelligence, Software Development, Automation, and Multi-Agent Systems, creating AI-powered solutions that can reason, plan, execute tasks, and integrate seamlessly with enterprise applications.
This role requires strong software engineering fundamentals along with hands-on experience in developing AI applications using modern LLMs, AI frameworks, and agent orchestration platforms.
- Design, develop, and deploy autonomous and semi-autonomous AI agents for business and consumer use cases.
- Build Agentic workflows involving planning, reasoning, memory management, and tool usage.
- Develop AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, etc.
- Integrate AI agents with enterprise systems, APIs, databases, CRMs, ERPs, and third-party platforms.
- Create multi-agent ecosystems capable of collaboration and task delegation.
- Build AI copilots, chatbots, automation assistants, and workflow orchestration solutions.
- Develop backend services and APIs to support agent-based applications.
- Implement Retrieval-Augmented Generation (RAG), vector databases, and knowledge management systems.
- Optimize AI applications for performance, scalability, security, and cost efficiency.
- Evaluate emerging AI technologies and recommend innovative solutions.
- Collaborate with product, engineering, and business teams to identify automation opportunities.
Requirements
Required Skills
AI & Agent Development
AI & Agent Development
- Experience with AI agent frameworks such as:
- LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- LangGraph
- Strong understanding of:
- Agentic AI
- Multi-Agent Systems
- Prompt Engineering
- RAG Architectures
- Function Calling & Tool Usage
- AI Memory Management
- Agentic AI
- Strong programming skills in:
- Python (Mandatory)
- JavaScript / TypeScript
- Python (Mandatory)
- Experience with:
- REST APIs
- Microservices Architecture
- Backend Development
- Database Design
- REST APIs
- Experience working with:
- OpenAI
- Azure AI Services
- Anthropic Claude
- Google Gemini
- Open-Source LLMs
- OpenAI
- Vector Databases:
- Pinecone
- Weaviate
- Chroma
- Milvus
- Pinecone
- Databases:
- SQL
- PostgreSQL
- MongoDB
- SQL
- Azure / AWS / GCP
- Docker
- Git
- CI/CD Pipelines
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Experience building enterprise-grade AI applications.
- Hands-on experience with workflow automation platforms.
- Understanding of AI governance, security, and responsible AI practices.
- Exposure to MLOps and AI deployment frameworks.
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