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.
- Solid 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.

Immediate joiners preferred*

📌 Senior AI Engineer (Hyderabad)
🏢 Amotion AI
📍 Hyderabad