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Software Development
Lead AI Engineer
@TalentXO
[Hiring] Lead AI Engineer @TalentXO
Mar 28, 2025 - TalentXO is hiring a remote Lead AI Engineer. 💸 Salary: unspecified. 📍Location: India.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics:
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Design & Architecture:
- Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.
- Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.
- Ensure the system is designed to allow comprehensive testing, iteration, and improvement.
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AI Agent Development:
- Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.
- Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.
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A/B Testing & Experimentation:
- Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.
- Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).
- Use experimentation frameworks to test hypotheses and gather insights on system improvements.
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Beta Testing & Real-World Simulation:
- Set up controlled beta testing environments that mimic real-world logistics operations.
- Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.
- Gather feedback from beta users and iterate on the system to address discovered issues.
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Progress Demonstration:
- Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.
- Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.
- Regularly present progress to stakeholders, highlighting improvements and areas for refinement.
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Optimization & Scalability:
- Optimize multi-agent interactions and resource allocation for real-world logistics challenges.
- Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.
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Integration:
- Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).
- Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.
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Collaboration & Leadership:
- Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.
- Collaborate with cross-functional teams to align AI development with business needs.
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Research & Innovation:
- Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.
- Introduce cutting-edge techniques to continuously improve the AI system.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
- 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.
- Proven experience in conducting A/B testing and beta testing for AI systems.
- Hands-on experience with CrewAI and LangChain tools.
- Hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots.
- Practical experience with LLM application deployment.
Requirements
- Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of A/B testing platforms and methodologies for AI systems.
- Expertise in building beta testing pipelines and real-world simulation environments.
- Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).
- Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.
- Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Good to have experience in Cursor & MCP.
- Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.
Company Description
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| 📍 | Be aware of the location restriction for this remote position: India |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
unspecified
|
Remote
Location
India
|
|
Job Type
unspecified
|
Posted
Mar 28, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: India |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
