AI Agents Engineer

Strivo Labs

Sales

Job Summary

We are seeking a highly skilled AI Agents Engineer to design, build, and deploy intelligent autonomous agents capable of performing complex tasks across various digital interfaces. The ideal candidate will have hands-on experience developing production-grade agents and must be able to demonstrate previous agent-based systems they have designed or contributed to. This role requires a strong foundation in AI/ML, agent architecture, and systems engineering, with a strategic mindset toward deploying scalable, real-world applications.

Key Responsibilities

• Architect modular, task-oriented autonomous agents using LLMs, APIs, and dynamic workflows.
• Develop agents with core capabilities, including planning, memory, tool use, and multi-step reasoning.
• Ensure robust integration with product pipelines and third-party services.
• Leverage NLP, retrieval-augmented generation (RAG), and reinforcement learning to enhance agent performance.
• Fine-tune LLMs and experiment with frameworks like LangChain, AutoGPT, or CrewAI.
• Continuously monitor agent performance and iterate for accuracy, speed, and relevance.
• Design agent ecosystems with scalable backends, secure APIs, and embedded vector databases.
• Maintain high availability and performance in production through CI/CD, logging, and monitoring.
• Optimize for latency, security, and user experience.
• Collaborate with cross-functional teams to define agent objectives, user stories, and behaviors.
• Stay current on AI agent research, LLM advancements, and open-source toolkits.
Contribute to technical documentation and internal knowledge sharing.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

3+ years of experience in AI/ML or software engineering, including 1–2 years focused on building autonomous agents.

Strong proficiency in Python and agent development libraries/frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI APIs).

Demonstrated ability to build and deploy functional AI agents— candidates must present at least one agent system they have built or contributed to (demo, GitHub repo, live product, or case study).

Experience integrating agents into cloud environments and real-time systems.

Solid understanding of software architecture, testing, and best practices.

To apply, kindly send a short note on why you are a good fit and your salary expectations to [email protected]

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