Applied Ai Agents Engineer
1 week ago
**Job Summary**:
We are seeking an Applied AI Agents Engineer with a strong software engineering background to design, implement, and deploy intelligent agent-based systems powered by large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks like LangChain.
Experience with orchestration platforms (e.g., aiXplain) and prompt engineering will be highly valuable.
**Key Responsibilities**:
- Agent Development & Architecture - Design and implement AI agents using LangChain, including reasoning, memory, RAG pipelines, and tool integrations.
- Integration & APIs - Build connectors for databases, APIs, and enterprise systems to extend agent capabilities.
- Scalability & Deployment - Deploy agents to cloud environments, ensuring reliability, security, and performance optimization.
- Optimization & Monitoring - Fine-tune prompts, optimize retrieval workflows, and monitor system performance.
- Collaboration & Documentation - Work closely with AI specialists, data engineers, and domain experts to align solutions with business needs.
**Requirements**:
**Required Skills & Experience**:
- Strong foundation in software engineering (data structures, algorithms, distributed systems, OOP).
- Proficiency in Python with solid experience in LangChain (agents, chains, RAG pipelines, tool integrations).
- Good understanding of LLMs, embeddings, and vector databases.
- 3-5+ years of professional software engineering experience.
- 1-2+ years working in AI/ML or intelligent systems.
**Nice-to-Haves (Plus)**:
- Hands-on experience with aiXplain for agent deployment, orchestration, and monitoring.
- Familiarity with prompt engineering and evaluation frameworks.
- Experience building and scaling multi-agent collaboration systems.
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