HIRING: SENIOR AI ENGINEER
IMPORTANT: This position is open to immediate joiners only. Candidates who are available to join immediately or within a very short notice period are encouraged to apply.
About the Role
We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Generative AI, Machine Learning, and Agentic AI technologies.
The ideal candidate will have strong software engineering fundamentals, hands-on experience building production AI systems, and the ability to translate complex business requirements into scalable, reliable, and secure AI solutions.
Key Responsibilities
• Design and develop scalable, production-ready AI applications for enterprise use cases.
• Develop and integrate solutions using leading LLM platforms, including OpenAI, Azure OpenAI, Gemini, Claude, and Llama.
• Design and implement AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and MCP.• Architect and develop Retrieval-Augmented Generation (RAG) solutions using vector databases and advanced retrieval techniques.
• Develop REST APIs, microservices, and backend services supporting AI applications.• Integrate AI capabilities with enterprise applications, platforms, and business workflows.
• Optimize AI systems for performance, scalability, reliability, cost, and latency.
• Implement MLOps practices, CI/CD pipelines, monitoring, evaluation, and observability for production AI systems.
• Contribute to system architecture, technical design, and engineering standards.
• Conduct code reviews and mentor junior engineers.
• Collaborate with product, engineering, and business stakeholders to deliver high-quality AI solutions.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline.
• 5–7+ years of professional software engineering experience.
• 3+ years of hands-on experience in AI/ML development.
• Strong proficiency in Python and backend application development.
• Strong understanding of LLMs, Generative AI, RAG, Machine Learning, and AI Agent architectures.
• Experience designing and deploying production-grade AI applications.
• Strong understanding of software architecture, APIs, databases, and distributed systems.
Technical Skills
• Programming: Python, SQL, JavaScript/TypeScript
• LLMs & Generative AI: OpenAI, Azure OpenAI, Gemini, Claude, Llama
• Agentic AI: LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP
• Machine Learning: Scikit-learn, TensorFlow, PyTorch• Cloud & MLOps: Azure AI Foundry, Azure ML, Docker, Kubernetes, GitHub, Azure DevOps
• Databases: PostgreSQL, MongoDB, Cosmos DB, Vector Databases
• Backend: REST APIs, Microservices
Preferred Qualifications
• Experience developing and deploying enterprise AI solutions.
• Knowledge of Responsible AI, AI governance, and security considerations.
• Experience with Graph Databases and Document Intelligence.
• Experience integrating AI solutions with ERP, CRM, or other enterprise platforms.
• Experience working with cloud-native architectures and distributed systems.
Key Competencies
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Strong ownership and accountability.
• Ability to work effectively in cross-functional teams.
• Ability to mentor engineers and contribute to technical decision-making.
• Strong focus on engineering quality, scalability, and maintainability.
Success Measures
Success in this role will be measured by:
• Delivery of reliable, production-ready AI solutions.
• Scalability, performance, and maintainability of AI systems.
• Optimization of model cost and latency.
• Quality and timeliness of technical delivery.
• Customer and stakeholder satisfaction.
• Contribution to engineering standards and team capability development.