AI Engineer (EGG Digital)

Role Summary

We are seeking an experienced and visionary AI Engineer to design, development, and

deployment of cutting-edge AI solutions. You will be a key player in shaping our AI strategy,

mentoring a talented team, and building sophisticated AI Agents and LLM-powered

applications. This role requires a blend of deep technical expertise, strategic thinking, and

leadership to translate complex business problems into scalable, production-ready AI

systems.

Roles and Responsibilities

● Collaborate closely with stakeholders and business teams to gather and interpret

requirements, ensuring that AI solutions align with business objectives and deliver

measurable value.

● Agentic/chatbot + web integration: Design and ship LLM agents and chatbots;

integrate into web apps/APIs (Node.js/TypeScript/Python, REST/GraphQL,

React/Next.js). Apply agent-to-agent (A2A) patterns and MCP for tool interoperability;

manage prompts, memory, tools, safety, and fallbacks.

● RAG & knowledge systems: Build and operate RAG pipelines—ingestion, chunking,

embeddings, hybrid search/rerankers, and vector stores (e.g.,

pgvector/Pinecone/Weaviate)—with freshness, access control, and governance.

● Innovation Leadership: Stay at the forefront of the latest developments in AI and foster

an environment of innovation, bringing new ideas and technologies to our clients.

● Design and develop of proof-of-concepts (PoCs), minimum viable products (MVPs),

and scalable AI applications particularly with generative AI.

● Oversee the technical architecture for deploying scalable AI solutions, utilizing Docker,

Kubernetes, and implementing robust version control & CI/CD pipelines.

Qualifications

● Educational Background: Bachelor's or Master's degree in Data Science, Computer

Science, Statistics, or a related field.

● A minimum of 3 years of experience in AI engineering and software development

● Solid understanding of the full software development lifecycle, including CI/CD,

monitoring, and observability in high-load systems

● Strong programming skills in Python, with hands-on experience using libraries like

NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch

● Experienced in Agentic systems: Tool/function calling, planning, memory;

orchestration (LangChain/LlamaIndex, AutoGen/CrewAI); A2A patterns and MCP for

interoperable tools.

● Experienced in RAG & knowledge: Ingestion/ETL, chunking/metadata, embeddings,

hybrid search + rerankers; vector DBs (pgvector, Pinecone, Weaviate, OpenSearch).

● Cloud and Database Knowledge: Understanding of Cloud technology and databases

(Cloud AWS, Azure, GCP) to facilitate data solutions.

● Web & API integration: Strong in Node.js/TypeScript/Python; REST/GraphQL;

React/Next.js

● Effective Communication: Exceptional problem-solving and communication skills, with

the ability to influence clients