Senior Software Engineer (AI / ML)

We are looking for a Senior Software Engineer (AI/ML) to design, develop, and scale intelligent applications powered by machine learning and generative AI. In this role, you will own end-to-end AI features from architecture and development to deployment, monitoring, and optimisation. You will collaborate closely with cross-functional engineering teams to integrate AI capabilities into production systems, build scalable backend services, and deliver high-quality solutions that create meaningful business impact.
Responsibilities:
Design, develop, deploy, monitor, and maintain end-to-end AI/ML services and applications.
Own complete modules and features throughout the software development lifecycle ("You build it, you own it").
Integrate pre-trained machine learning and generative AI models into scalable backend services.
Build and maintain production-ready APIs using Python frameworks such as FastAPI, Django, or Flask.
Develop AI-powered applications leveraging LLMs, embeddings, vector databases, and prompt engineering techniques.
Design and implement Retrieval-Augmented Generation (RAG) pipelines and AI workflows.
Collaborate with product managers, designers, and engineering teams to deliver scalable AI solutions.
Develop and maintain CI/CD pipelines using GitHub Actions or similar tools.
Build event-driven architectures using Kafka, RabbitMQ, or equivalent messaging platforms.
Monitor production systems, troubleshoot issues, and continuously optimise performance and reliability.
Stay updated with emerging trends and best practices in AI, machine learning, and generative AI technologies.
Requirements:
5+ years of software engineering experience.
Minimum 2+ years of hands-on experience as an AI/ML/LLM engineer.
Strong programming skills in Python.
Solid understanding of AI/ML and generative AI concepts, including Large Language Models (LLMs), prompt engineering, context management, model inference, embeddings, vector databases, and KV caching.
Hands-on experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or Keras.
Experience developing backend services using FastAPI, Django, or Flask.
Strong understanding of REST APIs and microservices architecture.
Experience working with relational and NoSQL databases, including MySQL, MongoDB, Redis, and BigQuery (or equivalent).
Experience integrating AI/ML/LLM capabilities into production applications.
Hands-on experience with cloud platforms such as Google Cloud Platform (preferred) or AWS.
Experience with CI/CD pipelines, preferably GitHub Actions.
Experience working with event-driven systems using Kafka, RabbitMQ, or similar technologies.
Strong debugging, problem-solving, and software design skills.
Preferred Qualifications:
Experience building production-grade RAG applications.
Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, Milvus, Weaviate, or Qdrant.
Experience with Vertex AI, OpenAI, Gemini, Claude, Llama, or similar LLM platforms.
Familiarity with Docker, Kubernetes, and containerised deployments.
Experience implementing scalable AI systems with monitoring and observability.
Understanding of MLOps best practices and model deployment pipelines.

Experience
5-8 yrs