Essential Duties And Responsibilities :

- - Collaborate directly with enterprise clients and internal stakeholders to deeply understand business goals, operational workflows, data landscapes, and technical constraints
- - Design, build, and deploy AI-driven solutions, integrating core AI platforms into customer systems and workflows
- - Translate complex business problems into viable AI solutions, focusing on where AI agents can augment or replace manual processes
- - Develop and maintain robust, scalable AI-powered systems, ensuring efficiency, reliability, and seamless integration with existing IT frameworks
- - Implement multi-agent systems and advanced AI solutions, utilizing techniques such as prompting, memory management, tool usage, and behaviour planning with Large Language Models (LLMs)
- - Rapidly prototype and productionize solutions, working with client teams to whiteboard concepts, build prototypes, and iterate quickly based on feedback
- - Build connectors and data pipelines for secure and efficient data flow between client systems and AI platforms
- - Act as a technical solutions expert, providing troubleshooting, analysis, and support for AI-driven architectures
- - Provide training, documentation, and enablement to client business and operations teams, fostering self-sufficiency and adoption of AI tools




- - Serve as a critical feedback loop to internal product and engineering teams, influencing the roadmap based on customer insights and real-world deployment challenges

Technical Skills :

- - Strong Programming Language Proficiency : Expert-level skills in at least one modern programming language (e.g., Python, Java)
- - Strong AI Literacy : Demonstrable understanding of AI/ML fundamentals, including concepts like LLMs, RAG (Retrieval Augmented Generation), embeddings, and vector databases
- - Hands-on experience with cloud platforms (AWS/GCP/Azure), including familiarity with MLOps tooling
- - Experience with API design and integration for AI services and enterprise systems (e.g., Salesforce, ServiceNow)
- - Solid understanding of software development lifecycle (SDLC) best practices and agile methodologies

Valuable To Have :

- - Agentic AI Hands-on Experience : Practical experience in designing, building, and deploying AI agents or multi-agent systems that exhibit autonomous, proactive, and adaptive behaviors
- - Familiarity with containerization technologies (Docker, Kubernetes)
- - Experience with data analytics and visualization tools
- - Prior experience in the commercial real estate or adjacent industries

📌 Forward Deploy Engineer - AI Solutions (Uttar Pradesh)
🏢 Wits Innovation Lab
📍 Uttar Pradesh