Applied AI Agents Engineer

Overview

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. Qualifications

3–5+ years of software engineering experience 1–2 years working in AI / ML or intelligent systems Experience with LangChain and RAG concepts Familiarity with enterprise integrations and cloud deployment

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