Senior AI Engineer / AI Software Engineer

• Design and develop production-grade applications powered by Generative AI and Large Language Models (LLMs).
• Build scalable Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval and intelligent search.
• Develop and integrate AI Agents and agentic workflows into business applications.
• Build robust backend services and APIs using Python, FastAPI, Flask, or similar technologies.
• Integrate LLM platforms and models including OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or open-source models.
• Develop AI pipelines involving prompt engineering, embeddings, vector search, context management, and model evaluation.
• Work with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or similar technologies.
• Build scalable microservices and integrate AI capabilities into existing enterprise applications.
• Deploy and operate AI applications on AWS, Azure, or Google Cloud Platform.
• Implement CI/CD, containerization, monitoring, and production deployment practices.
• Collaborate with Data Engineers, ML Engineers, Software Engineers, Product Managers, and business stakeholders.
• Ensure AI applications meet enterprise requirements for security, privacy, scalability, reliability, and responsible AI.
• Optimize AI applications for performance, accuracy, latency, and cost.

We are seeking a highly skilled Senior AI Engineer / AI Software Engineer to design, develop, and deploy production-grade AI-powered applications for enterprise environments.

The ideal candidate is a strong software engineer with hands-on experience building applications using Generative AI, Large Language Models (LLMs), RAG, AI Agents, Python, APIs, and cloud platforms., * 6+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or related fields.

• Strong hands-on experience with Python.
• Experience developing and deploying Generative AI / LLM applications.
• Strong understanding of RAG architecture and implementation.
• Experience with LLM APIs, prompt engineering, embeddings, and vector search.
• Experience with one or more AI frameworks such as:
• LangChain
• LangGraph
• LlamaIndex
• Experience building REST APIs and microservices.
• Experience with at least one major cloud platform:
• AWS
• Azure
• GCP
• Strong understanding of software engineering fundamentals, system design, and scalable architecture.
• Experience with Docker and Kubernetes.
• Experience with Git, CI/CD, and modern software development practices.
• Strong SQL and database knowledge.

Preferred Skills

• Experience building Agentic AI / AI Agent applications.
• Experience with multi-agent architectures.
• Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LLM evaluation and observability frameworks.
• Experience with MLOps or LLMOps.
• Experience with enterprise AI security and governance.
• Experience integrating AI into existing enterprise applications.
• Knowledge of React, JavaScript, or TypeScript is a plus.
• Experience working in highly regulated industries such as financial services, healthcare, or technology is a plus.

Ideal Candidate Profile

The ideal candidate is not just an AI enthusiast.

We're looking for someone who can:

Build it. * Strong software engineering fundamentals.

Integrate it. * Experience working with LLMs, APIs, data, and enterprise systems.

Deploy it. * Experience taking AI solutions into production.

Scale it. * Understanding of cloud, microservices, performance, and reliability., Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field preferred.