About this role
We are looking for a highly motivated and hands-on AI Engineer with strong application development experience and expertise in Generative AI and Agentic AI. The ideal candidate should be capable of designing, developing, and deploying enterprise-grade AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud-native architectures.
The candidate should have a solid understanding of how AI agents work, common design patterns, orchestration approaches, security and governance considerations, and the challenges associated with deploying AI solutions in production environments.
Key Responsibilities
• Design, develop, and deploy enterprise AI applications and services. • Build and implement Generative AI solutions using LLMs, RAG, embeddings, and vector databases. • Develop and orchestrate AI agents and multi-agent workflows for business process automation. • Integrate AI solutions with enterprise applications, APIs, data platforms, and business systems. • Design AI solutions with appropriate guardrails, governance, security, and human-in-the-loop controls. • Evaluate and improve model performance, prompt effectiveness, and user experience. • Implement monitoring, observability, testing, and evaluation frameworks for AI applications. • Collaborate with product owners, architects, and engineering teams to translate business requirements into scalable AI solutions. • Contribute to reusable AI frameworks, accelerators, and platform capabilities. • Stay current with emerging trends in Generative AI, Agentic AI, and enterprise AI technologies.
Required Skills & Qualifications
Experience
• 5-8 years of overall software engineering experience. • Minimum 2+ years of hands-on experience with Generative AI solutions. • Experience building and supporting production-grade applications.
Application Development
• Strong proficiency in Python. • Hands-on experience with FastAPI, Flask, or similar backend frameworks. • Experience developing REST APIs and microservices. • Familiarity with cloud-native development and deployment practices. • Good understanding of Git, CI/CD pipelines, testing, and software engineering best practices.
Generative AI & Agentic AI
Strong understanding of:
• Large Language Models (LLMs) • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Embeddings and Vector Databases • AI Evaluation Techniques • Agentic AI Concepts and Design Patterns • Multi-Agent Systems and Agent Orchestration • Tool Calling and Function Calling
Hands-on experience with one or more of the following is preferred:
• LangChain • LangGraph • Semantic Kernel • Microsoft AI Foundry / Azure AI Foundry • AutoGen or equivalent agent frameworks
Cloud & AI Platforms
Experience working with one or more cloud platforms:
• Microsoft Azure • AWS • Google Cloud Platform (GCP)
Experience with:
• Azure OpenAI or equivalent LLM services • Azure AI Search or similar search platforms • Vector Databases and semantic retrieval solutions
Agent Governance & Reliability
Good understanding of:
• Agent memory and context management • Hallucination mitigation approaches • Security and access controls • Human-in-the-loop workflows • Prompt injection and AI security risks • Agent monitoring and observability • Responsible AI principles • Cost optimisation and governance
Good to Have
• Knowledge of Knowledge Graphs and Business Ontologies. • Understanding of enterprise data platforms and data ecosystems. • Experience with or understanding of graph databases. • Experience building AI copilots, enterprise assistants, or conversational AI solutions. • Exposure to React or other modern front-end development frameworks.
Desired Attributes
• Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Ability to independently drive solutions from concept to production. • Passion for emerging AI technologies and continuous learning. • Pragmatic mindset with a strong focus on business outcomes. • Ability to balance innovation with engineering quality and operational excellence.
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