| Job Description: |
Key Responsibilities
Gen AI Solution Design & Development
• Design and implement Generative AI solutions using LLMs for use cases such as content generation, summarization, document processing, chatbots, copilots, and decision support systems.
• Develop application logic leveraging prompt engineering, retrieval augmented generation (RAG), and model orchestration techniques.
• Build APIs and services to integrate Gen AI capabilities into enterprise applications and workflows.
• Customize and fine tune foundation models where required using domain specific data.
Model & AI Platform Integration
• Work with OpenAI / Azure OpenAI / other LLM platforms and open source models (e.g., Llama, Mistral).
• Integrate Gen AI solutions with vector databases, enterprise data sources, search platforms, and knowledge repositories.
• Design scalable architecture supporting inference, caching, and cost optimization.
• Collaborate with cloud teams to deploy AI workloads securely in Azure or hybrid environments.
Data, Security & Governance
• Ensure Gen AI solutions comply with data privacy, security, and Responsible AI guidelines.
• Implement guardrails, content filters, and monitoring for hallucinations, bias, and misuse.
• Work with data engineering teams to prepare and manage training, fine tuning, and embedding datasets.
• Support audit, compliance, and governance requirements for AI systems.
Performance, Testing & Optimization
• Optimize prompts, pipelines, and system performance for latency, accuracy, and cost efficiency.
• Conduct functional, integration, and performance testing for Gen AI solutions.
• Monitor model behavior in production and continuously improve quality and reliability.
Collaboration & Leadership
• Translate business requirements into technical AI architecture and development tasks.
• Provide technical leadership, design guidance, and code reviews for AI development teams.
• Mentor junior AI engineers and contribute to reusable frameworks and best practices.
• Participate in PoCs, pilots, and production rollouts of AI solutions.
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Required Skills & Experience
Technical Skills
• 8–10+ years of software development experience, with 3–5+ years in AI/ML or Gen AI focused roles.
• Strong hands on experience with Generative AI and LLM based applications.
• Proficiency in Python (primary), with experience in REST APIs and backend development.
• Experience with AI frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, or similar.
• Hands on experience with Azure OpenAI or equivalent LLM platforms.
• Experience integrating Gen AI solutions with databases, vector stores, and enterprise systems.
Architecture & Cloud
• Strong understanding of cloud native architectures, preferably Microsoft Azure.
• Experience deploying AI workloads using containers, serverless, or scalable computer services.
• Familiarity with CI/CD pipelines, DevOps practices, and MLOps concepts.
Professional Skills
• Strong problem solving, analytical, and system design skills.
• Ability to communicate complex AI concepts to technical and non technical stakeholders.
• Experience working in enterprise delivery, consulting, or regulated environments.
• Strong ownership mindset and ability to lead initiatives end to end.
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Preferred / Nice to Have
• Experience with fine tuning LLMs, embeddings, and vector search optimization.
• Knowledge of Responsible AI, model risk management, and AI governance frameworks.
• Exposure to multi modal AI (text, image, audio).
• Certifications in Azure AI, Machine Learning, or Cloud Architecture.
• Experience delivering AI solutions in large enterprises or client facing environments. |
