Leverage pre-trained LLMs and multi-agent orchestration frameworks to develop, deploy, and optimize AI-powered products and workflows.

Responsibilities

• Build and deploy scalable AI-powered applications in collaboration with senior engineers, contributing to design and architecture decisions over time.
• Learn and contribute to prompt engineering strategies, with guidance on building agentic workflows, memory systems, and multi-step reasoning.
• Integrate LLM-powered features into existing platforms and products, often via APIs, and ensure seamless user experiences.
• Support the development and monitoring of evaluation and observability processes for AI systems, learning LLMOps practices in a hands-on environment.
• Work with retrieval techniques (e.g., RAG, vector DBs like Azure AI Search, Chroma) for context-aware applications.
• Prototype, test, and optimize AI-powered applications, including retrieval-augmented generation, workflow automation, and agentic experiences.
• Collaborate with cross-functional teams to align AI features with user needs and business goals, gaining exposure to product and platform thinking.
• Stay current on advancements in AI technologies, frameworks, and best practices, and evangelize AI capabilities internally and externally.
• Provide technical support, documentation, and training to facilitate the adoption and effective use of AI solutions.
• Participate in technical discussions, architecture reviews, and sprint planning.
• Contribute to knowledge sharing and technical documentation.

Skillset

• Proficiency in Python with hands-on experience building applications and APIs.
• Strong interest and early exposure to LLMs and frameworks such as LangChain, LlamaIndex or similar.
• Exposure to Evaluations and ML/AI Observability.
• Familiarity with retrieval techniques (e.g., vector databases, RAG) is a plus.
• Excellent problem-solving, communication, and teamwork skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• Bachelor’s Degree in Computer Science, Engineering, or a related field.
• Proven engineering background with over 5 years of experience, including 2+ years focused on AI/ML systems.

Spot any inaccurate information? Have a job to share? Let us know.