Agentic AI Specialist / Engineer (Contractor)

Summary:

In this role, you will design, develop, and deploy autonomous AI systems capable of perceiving, reasoning, and acting independently in dynamic environments. The ideal candidate will have deep expertise in AI agent frameworks, hands-on experience building and deploying AI agents, and a strong passion for innovation and problem-solving. Proficiency in machine learning, reinforcement learning, and creating adaptable, goal-driven AI agents is essential.

Responsibilities:

• AI Agent Development:
  • Design and implement autonomous AI agents with advanced decision-making and adaptive learning capabilities using frameworks like CrewAI, N8N, Vertex AI, LangChain, LangGraph, LangFlow, OpenAI Swarm, PhiData, Semantic Kernel, Microsoft Autogen, Etc.
  • Develop and integrate AI agents tailored to address specific business needs, such as but not limited to data warehousing and marketing applications.
• Advanced Learning Implementation:
  • Apply reinforcement learning, unsupervised learning, and multi-agent systems to enhance agent autonomy and collaboration.
  • Experiment with emerging technologies like generative AI and self-supervised learning to improve agent capabilities.
• Integration and Deployment:
  • Deploy scalable, high-performance AI systems on cloud and edge environments.
  • Collaborate with cross-functional teams (e.g., data science, engineering, and product teams) to ensure seamless integration of AI agents into existing systems and workflows.
• Performance Optimization:
  • Monitor and analyze AI agent performance, identify areas for improvement, and implement optimization strategies
• Research and Innovation:
  • Stay updated on emerging trends and advancements in Agentic AI and contribute to the development of best practices and standards.
  • Participate in code reviews, design discussions, and knowledge-sharing sessions.
• Ethics and Compliance:
  • Ensure AI systems align with ethical guidelines and regulatory standards.
  • Mitigate biases and promote fairness, transparency, and accountability in AI systems.
  • Contribute to the development and maintenance of the organization's AI policies and guidelines for responsible and ethical AI development.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience building and deploying AI agents using various frameworks.
• Strong understanding of AI concepts, including machine learning, natural language processing, reinforcement learning, goal-oriented AI.
• Experience working with large language models (LLMs) and integrating them into AI agent workflows.
• Familiarity with tools like Docker, Kubernetes and Proficiency in programming languages such as Python and familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving, analytical, and communication skills and ability to tackle complex, unstructured problems.
• Strong programming skills in languages like Python, Java, or C++.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and reinforcement learning libraries (e.g., OpenAI Gym, Ray RLlib).
• Ability to work independently and collaboratively in a fast-paced environment.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Proficiency in developing and deploying AI models in cloud and edge environments.

Nice to Have:

• Experience with multi-agent systems and complex AI workflows.
• Experience in using low code / no code tools such as lovable, bolt etc.
• Familiarity with AI ethics and responsible AI development principles.
• Contributions to open-source AI projects or publications in AI-related conferences or journals.
• Knowledge and experience in Integrating advanced perception techniques for real-time environment understanding (e.g., computer vision, NLP).
• Design reasoning algorithms that enable agents to optimize actions based on goals and constraints.