AI Engineer

Role overview

AI Engineer at Techolution

Responsibilities

• Design agentic workflows using LangGraph for automated decision-making.
• Write clean, efficient, production-grade Python code for scalable transactions.
• Implement robust error handling and caching strategies for AI systems .
• Maintain exceptional Executional Discipline , delivering commitments with precision.

Employment details

• Location: Hyderabad [India]

About the employer

• At Techolution, we're not just building AI; we're crafting Full Enterprise Automation solutions that deliver tangible business outcomes, transforming industries with our BPA 4.0 platform.

Additional role details

• Are you ready to redefine what's possible with AI?
• As an Associate AI Engineer , you'll dive into a world where your Python expertise directly fuels production-grade AI systems, from advanced RAG pipelines to sophisticated agentic workflows.
• Join us in Hyderabad and contribute to initiatives like our Value Finder and 100K Challenge, where innovation meets measurable impact, driving 10x AI adoption and delivering over $900M in ROI for our clients.
• Build and optimize RAG systems for enterprise data processing and retrieval.
• Develop API backends integrating LLM capabilities with enterprise systems.
• Debug complex multi-step AI pipelines in production environments.
• Optimize data structures and algorithms for efficient AI solutions.
• Demonstrated understanding of Multi-Modal AI & Advanced Techniques for cutting-edge solutions.
• Possess a strong Passion to Win , driving ambitious goals with determination.
• Exhibit a Mission Oriented approach, aligning with collective project success.
• Practice Extreme Ownership , taking full responsibility for tasks and outcomes.
• Engage with C.A.R.E (Curious, Acknowledge, Respond with Empathy) in all interactions.
• Possess strong Comprehension to quickly grasp new concepts and technical details.
• Familiarity with Docker for containerization and deployment is a plus.
• Experience with GCP cloud platforms for scalable infrastructure is beneficial.
• Exposure to Google ADK for specific integrations is advantageous.