Agentic AI Developer With React JS Python
4 days ago
Role description
Agentic AI Developer + Python)
Location:
Remote/Hybrid
Experience 5
–10 Years
We are looking for a talented
Agentic AI Developer
to build intelligent AI-driven applications using
and
Python
. If you have hands-on experience with LLMs, agentic workflows, and modern frontend development, this role is for you
AI & Agentic Systems Development
- Design, develop, and optimize
agentic AI workflows
using Python and modern AI frameworks. - Implement LLM-based reasoning, tool usage, memory, retrieval, and multi-agent orchestration.
- Build custom AI agents for automation, decision-making, and task execution.
- Integrate AI pipelines with APIs, vector databases, and external tools.
Frontend Development )
- Build responsive, intuitive, and modern UIs using
, Redux, Tailwind, or similar frameworks. - Integrate the frontend with AI services and backend APIs.
- Ensure seamless real-time interactions between users and AI agents.
Backend & API Development
- Create Python-based microservices and RESTful/GraphQL APIs.
- Work with frameworks like FastAPI, Flask, or Django to serve models and agentic workflows.
- Implement CI/CD for AI and web components.
AI Infrastructure & Integrations
- Experience with
OpenAI, Anthropic, Google Gemini, Llama
, or similar LLM providers. - Implement RAG (Retrieval Augmented Generation) pipelines using vector DBs (Chroma, Pinecone, Weaviate, FAISS).
- Deploy AI solutions on cloud platforms (AWS, Azure, GCP).
Required Skills
- Strong expertise in
Python
(AI, automation, backend). - Proficiency in
and modern frontend frameworks. - Experience with
LLMs
, prompts, agentic frameworks (LangChain, CrewAI, AutoGen, OpenAI Agents, etc.). - Good understanding of
APIs
, microservices, and asynchronous workflows. - Exposure to
Docker
, Git, CI/CD pipelines. - Ability to design scalable, production-grade AI systems.
Nice-to-Have
- Experience in building multi-agent architectures.
- Knowledge of MLOps, model deployment, or fine-tuning.
- Experience working with event-driven architectures.
- Familiarity with authentication frameworks and security best practices.
Soft Skills
- Strong problem-solving and analytical thinking.
- Ability to work with cross-functional teams (AI, product, engineering).
- Excellent communication and documentation skills.
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