Full Stack AI Engineer

Overview

Ai And Ml Integration Related

• Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source) into production applications via APIs and SDKs
• Build and maintain agentic workflows, multi-step reasoning pipelines and tool-calling patterns
• Connect AI models to structured/unstructured data sources, vector databases and retrieval pipelines (RAG & GRAG)
• Implement prompt engineering, chaining and context management for reliable AI outputs

Backend Development Related

• Design and build RESTful and event-driven APIs using Python (FastAPI / Django) or Node.js
• Work with relational and non-relational databases (PostgreSQL, MongoDB, Redis) along with Elasticsearch
• Build data ingestion pipelines and integrate third-party data APIs (social, news, enterprise systems)
• Deploy and maintain containerized services on cloud infrastructure (Azure preferred)

Frontend Development Related

• Develop responsive, functional UI components using the likes of React.js or Vue.js
• Consume and display real-time or streaming AI outputs in clean, user-ready interfaces
• Collaborate with product on UX flows for AI-assisted features (dashboards, chat UIs, agent interfaces)

• Collaboration & Quality Related

• Work closely with the engineering team and product leads to translate requirements into technical specifications
• Write clean, documented, and testable code; participate in code reviews
• Identify performance bottlenecks and propose practical solutions
• Support QA and UAT cycles for client-facing deployments

Ai And Llm

• Hands-on experience with OpenAI / Azure OpenAI API, LangChain, or similar frameworks
• Familiarity with RAG patterns, vector stores (Pinecone, Weaviate, pgvector), and embeddings
• Understanding of prompt engineering, function/tool calling, and agentic orchestration

Backend

• Node.js & Express with REST API development, and/ or Python (FastAPI or Django)
• SQL and NoSQL databases; basic query optimisation
• Experience with Docker and cloud deployment (Azure, AWS, or GCP)
• Familiarity with message queues or event streaming (e.g., Kafka, RabbitMQ) is a plus

Frontend

• React.js or Vue.js with component-based architecture
• Working knowledge of HTML5, CSS3, and JavaScript/TypeScript
• Ability to build clean data visualisation interfaces (charts, dashboards)

General

• Git-based version control and CI/CD workflows
• Strong problem-solving skills and ability to work in a fast-paced, delivery-focused environment
• Good written and verbal communication in English
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Nice To Have

• Experience with Microsoft Azure AI Foundry, Azure AI Search, or Azure Bot Framework
• Exposure to computer vision APIs or model inference pipelines
• Prior work on social media data ingestion, sentiment analysis, or NLP pipelines
• Experience building voice AI integrations (STT/TTS, telephony APIs)
• Contributions to open-source AI/ML projects
• Familiarity with GCC enterprise environments or government IT constraints