Artificial Intelligence Engineer

About the Role

We're building the next generation of intelligent, autonomous AI systems and are seeking 23 experiencedAI Engineersto join our product development team. You will play a key role indesigning, building, and deploying AI agentsandAI assistantsthat leverageLarge Language Models (LLMs),Retrieval-Augmented Generation (RAG), and scalable backend systems usingPython

If you love building things from scratch, experimenting fast, and scaling what works this role is for you.

Key Responsibilities

• Design, develop, and deploy AI agentspowered by cutting-edge LLMs (OpenAI, Anthropic, Mistral,Llama, etc.)
• Building end-to-endretrieval-augmented generation (RAG)pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using OpenSearch or other leading technologies.
• Develop scalable Python microservices and APIsthat support AI agent operations and LLM orchestration.
• Own data ingestion and storage workflows manage relational (PostgreSQL) and vector data for efficient retrieval and context management
• Optimize agent reasoning and memory, improving accuracy, contextual continuity, and tool integrations
• Collaborate cross-functionallywith PMs, and designers to define and deliver AI-driven product features end-to-end
• Implement monitoring, evaluation, and testing frameworksto measure model quality, latency, and reliability.
• Stay ahead of the curveon emerging frameworks and new model capabilities.

Required Skills

• Bachelor's or master's degree in computer science, Artificial Intelligence, or related field.
• Strong hands-on experience building and deployingLLM-powered applications
• Proven experience withAI agents, AI assistants, or conversational systems
• Solid understanding ofRetrieval-Augmented Generation (RAG)architectures and search pipelines.
• Strong proficiency inPython(FastAPI, Flask, or Django preferred)
• Experience withvector databases(e.g., Pinecone, Weaviate, FAISS, Milvus, pgvector, etc.)
• Proficient inPostgreSQLand relational schema design
• Familiar withAI agent and LLM orchestration frameworks(LangChain, LlamaIndex, Autogen, CrewAI, etc.)
• Experience deploying AI systems to production (cloud, APIs, monitoring, scaling)
• Familiar withDocker, Git, and CI/CD workflows
• Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud
• Excellent problem-solving skills and analytical thinking.
• Strong communication skills to collaborate with cross-functional teams.
• Startup-oriented execution mindset, including:
• Strongcustomer focusand ability to translate user needs into AI-driven solutions
• High level ofownershipacross the full product lifecycle, from design to deployment
• Ability toiterate quickly, experiment, and adapt in fast-moving environments
• Bias for actionwith comfort making decisions under uncertainty.

Nice to Have

Experience with agent frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI)

Familiarity with embedding models, re-ranking, and search relevance tuning

Experience building internal or customer-facingenterprise searchorknowledge assistantproducts