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