Artificial Intelligence Engineer

AI Engineer/Developer

Your role Do you want to design and build next-generation AI-driven applications using cutting-edge technologies? Are you skilled in crafting effective prompts, integrating advanced AI frameworks, and building scalable solutions in Python and the cloud? Do you thrive in an environment that challenges you to innovate and grow professionally?

We’re looking for AI Engineers to:

• Design and develop AGENTIC AI applications with a focus on prompt engineering, LangChain, and agentic AI frameworks.

• Build scalable, secure, and sustainable solutions using Python and modern programming techniques.

• Integrate cloud platforms (e.g., Azure) to deploy and manage AI models effectively.

• Collaborate with business teams to refine requirements and remove ambiguity for AI-powered solutions.

• Conduct rigorous code reviews, testing, and debugging to ensure high-quality outputs.

• Enhance existing AI solutions while exploring new technologies to improve user experience and business outcomes.

• Contribute to architecture discussions and implement best practices for AI lifecycle management.

Your Team You’ll be working in the Agentic Products crew, as part of the AI Transformation Stream in WMPC. Our team leverages the latest AI technologies to deliver value-driven solutions and agents for AI Vision Big Rocks . As an AI Engineer, you’ll play a key role in driving innovation and shaping the future of agentS.

Your Expertise

• Proficient in Prompt Engineering: Skilled in crafting and optimizing prompts for AI applications

• LangChain Expertise: Familiarity with integrating and designing AI workflows using LangChain and similar frameworks.

• Python Proficiency: Strong coding ability in Python, with a focus on AI-related libraries (e.g., TensorFlow, PyTorch, OpenAI API).

• Cloud Experience: Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for deploying and managing AI solutions.

• AI Lifecycle Management: Understanding of best practices for developing, deploying, and maintaining AI models across their lifecycle.

• Solid knowledge of SDLC processes, including secure coding practices, code reviews, and performance optimization.

• Bachelor’s/Master’s degree in Computer Science, AI, or related field, or equivalent experience.

To summarise below the are minimum criteria we are looking for:

• Python engineers
• LangGraph knowledge
• Agentic Ai experience having built agents
• Cloud / Azure experience with deployments
• Co-development experience (gitlab, ci/cd pipelines etc.) not individual developer
• Working in Financial domain
• Exp Range – 5-8 Years