Posted on: 05/10/2025
Role Overview :
As an AI Agent Developer, you will :
- Design Intelligent Agents : Build and fine-tune autonomous agents using LangChain and agentic AI frameworks.
- Develop RAG Pipelines : Create and implement retrieval-augmented generation pipelines for contextual response generation.
- Integrate APIs : Seamlessly integrate external APIs for dynamic agent interaction and task execution.
- Leverage Vector Databases : Utilize vector databases for context embedding, memory storage, and efficient retrieval.
- Cloud Deployment : Deploy, monitor, and optimize agents on cloud platforms such as AWS, GCP, or Azure using scalable infrastructure.
- Collaborate & Iterate : Work with cross-functional teams to design, test, and improve AI-driven workflows and systems.
Technical Requirements & Skills :
- Experience : Minimum 2+ years in AI development or related fields.
- Frameworks & Tools : Proficiency in LangChain, vector databases (e.g., Pinecone, Weaviate), and agentic AI concepts.
- Programming Language : Strong expertise in Python and building modular AI components.
- Cloud Infrastructure : Experience with deploying and scaling applications on AWS, GCP, or Azure.
- API Integrations : Solid understanding of RESTful and GraphQL APIs for workflow orchestration.
- Applied AI Systems : Familiarity with RAG concepts, embeddings, and multi-step agent design.
What Were Looking For :
- An AI engineer who understands the architecture and lifecycle of autonomous agents.
- A freelancer who thrives in a remote, flexible work environment with the ability to manage multiple agent-based projects.
- A builder who is excited to push boundaries with modern AI tools and frameworks.
Why Join Us? :
- Immediate Impact : Work on cutting-edge AI workflows and help startups accelerate their automation journey.
- Remote & Flexible : Structure your commitment on an hourly or project basiswork from anywhere.
- Future Opportunities : BeGigs ecosystem ensures you stay matched with relevant, AI-first engineering roles.
- Growth & Recognition : Be part of a collaborative environment that values innovation, contribution, and continuous learning.
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