About this role
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.
---
Key Responsibilities
- 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
- Experience with AI agent frameworks such as: LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- Strong understanding of: Agentic AI
- Multi-Agent Systems
- Prompt Engineering
- RAG Architectures
- Function Calling & Tool Usage
- AI Memory Management
Software Development
- Strong programming skills in: Python (Mandatory)
- JavaScript / TypeScript
- Experience with: REST APIs
- Microservices Architecture
- Backend Development
- Database Design
AI Ecosystem
- Experience working with: OpenAI
- Azure AI Services
- Anthropic Claude
- Google Gemini
- Open-Source LLMs
Data & Infrastructure
- Vector Databases: Pinecone
- Weaviate
- Chroma
- Milvus
- Databases: SQL
- PostgreSQL
- MongoDB
Cloud & DevOps
- Azure / AWS / GCP
- Docker
- Git
- CI/CD Pipelines
---
Preferred Qualifications
- 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.