What you will be doing:

Agent Development & Prototyping: Design and rapidly prototype LLM-powered agents that exhibit planning, reasoning, memory, and tool-use capabilities to automate complex, multi-step tasks.

Prompt Engineering: Craft, refine, and test high-performance prompts, instructions, and system messages to guide agent behavior and optimize task completion accuracy.

Orchestration & Integration: Work with agent orchestration frameworks to connect agents with internal and external APIs, databases, and knowledge bases (e.g., Vector DBs for RAG) to enable real-time actions.

Testing and Evaluation: Develop metrics and meticulous testing workflows to benchmark agent performance, reliability, and safety across various use cases.

Documentation: Maintain clear user documentation of agent architectures, workflows, and experimental results.

Research & Exploration: Stay ahead with the latest developments in generative AI, agent architectures, and multi-agent systems, and propose innovative applications for business challenges.

Collaborations: You will thrive being in the critical path supporting thousands of developers, working for billion-dollar business lines - with responsiveness, thoroughness and collaboration

What we need to see:

Pursuing a BS, MS or PhD with a focus on Computer Science, Computer Engineering, or a related field

Conceptual understanding of LLMs, Generative AI, and core Machine Learning concepts.

Demonstrated passion or basic project experience with Agentic AI concepts (e.g., RAG, MCP, multi-step planning, or using frameworks like LangChain/LlamaIndex).

Familiarity with software development guidelines, including version control (Git/GitHub) and basic testing/debugging.

Problem solving and analytical thinking, with strong algorithmic, design and debugging skills

Proficient in at least one programming language such as C, C++, C#, Java, or Python (Python preferred)

Experience with writing and consuming APIs, and working with web application frameworks

Strong verbal and written communication skills

Curiosity about different areas of software engineering and an eagerness to leave your comfort zone

An eagerness for learning and working on the cutting edge of technology