Job Description
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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