Position Description:
Your future duties and responsibilities:
•Design and implement autonomous or semi-autonomous agents for various applications (e.g., task automation, virtual assistants, simulations, robotics, etc.)
•Integrate language models (LLMs), retrieval-augmented generation (RAG), and tool-use capabilities into agent architectures
•Develop reasoning, planning, and memory modules for agents (e.g., task decomposition, goal tracking, scratchpad reasoning)
•Build and maintain agent environments, workflows, and interfaces for interaction (CLI, GUI, API, etc.)
•Optimize agent performance for accuracy, latency, and resource efficiency
•Collaborate with cross-functional teams to deploy agents in production environments
•Stay current with the latest research in AI agents, reinforcement learning, cognitive architectures, and LLM tool use
•Contribute to technical documentation, experiments, and internal research initiatives
Required qualifications to be successful in this role:
•3+ years of experience in software development, with a focus on AI/ML systems
•Strong programming skills in Python (and optionally C++, JavaScript, or Rust)
•Experience with frameworks like LangChain, AutoGen, Haystack, or Semantic Kernel
•Familiarity with LLMs (e.g., GPT, Claude, PaLM), vector stores, prompt engineering, and APIs
•Knowledge of agent architectures (e.g., ReAct, AutoGPT, BabyAGI, CAMEL, or custom)
•Experience working with simulation environments or APIs (OpenAI Gym, Unity ML-Agents, etc.)
•Understanding of reinforcement learning, planning, or symbolic reasoning is a strong plus
Good-to-Have Skills:
Think out of the solution to create reusable Databricks components
Should have working experience in migration and modernization projects
Involve in due diligence phases to transform the requirements to implementation
Good communication skills
Skills: