AI Engineer

We are looking for a highly skilled AI Engineer to lead the development of innovative Generative and Agentic AI applications. In this role, you will design and integrate AI solutions that leverage state-of-the-art models into web-based applications. You will collaborate with cross-functional teams to build, deploy, and scale AI-powered solutions that drive business value. If you are eager to work with new technologies, explore emerging trends in AI, and contribute to transformative projects, we want you on our team!

Key Responsibilities

Develop and deploy scalable AI-powered applications using the Python stack.

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications.

Write clean, efficient, and well-documented code adhering to best practices.

Build and manage robust APIs for integrating AI solutions into applications.

Research and experiment with emerging technologies to discover new AI-driven use cases.

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance.

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives.

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization.

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques.

Contribute to continuous improvement of development processes and practices.

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs.

Work with operations teams to support product deployment and issue resolution.

Requirements

Educational Background

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record.

Experience

Technical Skills:

3+ years of hands-on experience in building and deploying AI applications on Python stack.

Strong knowledge of Python and related frameworks.

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc.

Experience with AI/ML workflows, including data preparation, model deployment, and optimization.

Proficiency in building and consuming RESTful APIs for connecting AI models with web applications.

Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes).

Experience with CI/CD pipelines, version control (Git), and automation frameworks.

Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques.

Soft Skills:

Passion for exploring, experimenting and implementing emerging AI technologies.

Self-starter who can independently and collaboratively in a fast-paced environment.

Excellent problem-solving and analytical abilities to tackle complex challenges.

Effective communication skills to explain AI concepts and strategies to stakeholders.

Why Join Us?

Be part of a forward-thinking company revolutionizing air and port cargo logistics with AI.

Collaborate with a team passionate about innovation and excellence.

Gain exposure to cutting-edge AI technologies and frameworks.

Enjoy opportunities for professional growth and upskilling in the latest tech stack.

Receive a competitive compensation and benefits package.