Artificial Intelligence Engineer

Role & responsibilities

AI Engineer
Are you passionate about building intelligent systems that can reason, plan, and execute tasks autonomously? We're looking for a skilled AI Agentic Orchestration Engineer to join our team. In this role, you will be at the forefront of designing and building innovative, scalable AI agents that solve complex business problems. You will work closely with a talented team of developers, data analysts, and QA professionals, ensuring projects are delivered with precision and quality.

Key Responsibilities

• Shaping the Future with AI Agents: Architect, develop, and deploy AI agentic systems and multi-agent frameworks that automate complex workflows and enable intelligent decision-making. You will focus on building robust, scalable solutions using cutting-edge AI orchestration tools.
• Driving End-to-End Solutions: Own the entire lifecycle of our agentic solutions, from initial design and prototyping to deployment and maintenance. You'll manage multiple project streams, collaborating with cross-functional teams to overcome challenges and deliver significant business value.
• Leading from the Front: Mentor and guide a team of engineers and developers, fostering a collaborative environment that encourages innovation, accountability, and continuous improvement.
• Pioneering Agentic Solutions: Architect and build powerful AI agent applications, leveraging platforms like AWS Bedrock, LangChain, and other cutting-edge cloud technologies to create intelligent workflows, automate tasks, and enable sophisticated, goal-driven systems.
• Building Strong Partnerships: Collaborate with internal and external stakeholders, including infrastructure, business teams, and technology partners, ensuring alignment throughout the project lifecycle.
  

Preferred candidate profile

• Bachelors Degree in Computer Science or equivalent work experience.
• 5+ years of relevant coding experience.
• Strong proficiency in designing and implementing AI agents and multi-agent systems.
• Hands-on experience with building and fine-tuning Large Language Models (LLMs).
• Expertise in leveraging AWS Bedrock, Google Vertex AI, and Azure OpenAI to create scalable and cost-effective AI solutions, with a focus on A2A, ADK, LangChain, LangGraph for advanced agentic workflows.
• Strong proficiency in Python, with experience using libraries like NumPy and Pandas for data manipulation and the ability to develop complex AI solutions.
• Familiar with databases such as DynamoDB, S3, Postgres, SQL Server and possibly MySQL

Familiarity with vector