Applied AI Agents Engineer

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.

The ideal candidate will have 3–5+ years of software engineering experience and at least 1–2 years working in AI / ML or intelligent systems. You will play a key role in building multi-agent workflows , integrating agents into enterprise environments, and deploying them reliably in production.

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.

Required Skills & Experience

Nice-to-Haves (Plus)

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