Agentic Developer / Consultant Specialist

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist

In this role, you will :

Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments.

Optimize TensorFlow-based models for real-time inference and low-latency decision-making.

Enhance agent decision-making abilities through RL, planning, and heuristic algorithms.

Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar.

Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT).

Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus.

Ensure AI safety, security, and ethical considerations in agent behavior.

Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI.

Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination

Requirements

To be successful in this role, you should meet the following requirements :

Strong programming skills in Python, Go, or Java.

Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc.).

Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.), diffusion model or GANs

Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks.

Strong experience with AI / ML framework such as TensorFlow, PyTorch or JAX.

Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ).

Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).

Experience with multi-agent coordination & communication protocols.

Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK).

Strong understanding of distributed systems, networking, and security for AI agents.

Experience working with OpenAI, Hugging face or Anthropic APIs.

Knowledge of LLM fine-tuning techniques such as LoRA, QLoRA or RLHF

Contributions to open-source AI agent projects.

Background in game theory, planning algorithms, or decision trees.

Familiarity with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB).

Familiarity with interface development with Angular / React / Javascript framework