Job Title

About the Role

Responsibilities

• Design and develop AI agents using modern LLMs and agentic AI frameworks.
• Build agents with capabilities such as:
  • Retrieval-Augmented Generation (RAG)
  • Tool calling
  • Human-in-the-loop workflows
  • Multi-step reasoning
  • Memory management
  • MCP Servers integration
• Optimize prompts, agent context, and system instructions for reliability, accuracy, and cost.
• Develop and maintain agent memory strategies, context management, and conversation state.
• Build and maintain projects using Claude Code for AI-assisted software development.
• Integrate AI agents with external APIs, enterprise tools, databases, and internal services.
• Evaluate, benchmark, and improve agent performance using appropriate metrics.
• Collaborate with product and engineering teams to translate business requirements into AI-powered solutions.
• Stay updated with the latest advancements in LLMs, agentic AI, and AI engineering.

Must Have

• 0–3 years of experience in AI Engineering, Software Engineering, or related fields.
• Hands-on experience building AI agents using LLMs.
• Strong understanding of:
  • Retrieval-Augmented Generation (RAG)
  • Tool Calling
  • Human-in-the-loop systems
  • Function calling workflows
• Experience with:
  • Prompt Engineering
  • Agent Context Tuning
  • Memory Management for AI agents
• Hands-on experience using Claude Code for building and managing AI-assisted software projects.
• Hands-on experience with Agentic AI frameworks like LangChain, LangGraph, etc
• Good programming skills in at least one language (Python or JavaScript/TypeScript preferred).
• Strong problem-solving and debugging skills.

Good to Have

• Experience with frontend technologies such as Next.js or React.
• Experience with Node.js backend development.
• REST API development and third-party API integrations.
• Experience integrating models from Hugging Face.
• Understanding of multi-agent systems, agent communication, and agent orchestration.
• Familiarity with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, or similar.
• Experience with vector databases and semantic search.
• Basic understanding of cloud deployment and containerization (Docker, Kubernetes).

Preferred Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• Personal projects, internships, or open-source contributions involving LLMs or AI agents.
• Passion for experimenting with emerging AI technologies and rapid prototyping.

What You'll Work On

• Intelligent autonomous agents
• Enterprise AI assistants
• Multi-agent orchestration systems
• AI-powered engineering workflows
• Retrieval and knowledge systems
• Human-AI collaborative applications
• AI developer tooling and automation

What We're Looking For

• Curiosity and a strong learning mindset.
• Ability to rapidly prototype and iterate.
• Strong software engineering fundamentals.
• Interest in building reliable, production-ready AI systems rather than only experimenting with models.
• Excellent communication and collaborative problem-solving skills.

An early-career AI Agent Engineer role focused on building production-oriented agents and applications with large language models. The work spans retrieval, tool use, agent memory, evaluation, and integrations, alongside collaboration with product and engineering teams.

Role at a glance

Skills mentioned

What you will likely work on

• Design and build agents using LLMs and agentic frameworks, including retrieval, tool use, and human review.
• Develop agent memory, context handling, and conversation-state strategies.
• Tune prompts and system instructions, balancing reliability, accuracy, and cost.
• Connect agents to APIs, enterprise tools, databases, and internal services.
• Measure and improve agent performance through evaluation and benchmarking.
• Create autonomous agents, enterprise assistants, orchestration systems, and human-AI applications.
• Work with product and engineering colleagues to turn business needs into AI-powered solutions.
• Use Claude Code to build and maintain AI-assisted software projects.

Good fit signals

• You have up to three years of experience in AI engineering, software engineering, or a related area, and have built LLM-based agents.
• You understand RAG, tool and function calling, and human-in-the-loop systems.
• You can program in at least one language; Python or JavaScript/TypeScript is preferred.
• You bring strong problem-solving and debugging skills, with an interest in reliable, production-ready AI.
• A related bachelor's degree, relevant personal projects, internships, or open-source contributions are helpful, not stated as required.