Lead AI Engineer - Python/Machine Learning

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Date: 3 days ago
City: Rājkot, Gujarat
Contract type: Full time
Responsibilities

  • 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.
  • AI Agent Development :
  • Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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's performance.

Required Qualifications

Education : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience

  • 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.
  • Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.
  • Should have practical experience with LLM application deployment.

Technical Skills

  • 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.

Preferred Qualifications

  • Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.
  • Familiarity with graph theory, network optimization, and blockchain for agent security.
  • Background in designing scalable systems tested under diverse operational conditions.

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Ability to communicate technical concepts effectively to stakeholders.
  • Leadership skills for mentoring teams and guiding project execution.

(ref:hirist.tech)

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