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🧭 Full-Time
🔍 Software Development
🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed over 2 years agoAdvertisingReal TimeMarketingSoftware
- 5+ years of professional software engineering experience, demonstrating strong organizational skills and a track record of delivering reliable, high-quality code.
- Proficiency in modern AI frameworks and workflows—experience with tools like ChatGPT, Claude, Copilot, Cursor, or similar. (No multi-year requirement needed, but proven proficiency is essential.)
- Experience with orchestrating LLMs and AI pipelines (e.g., LangChain or similar orchestration libraries).
- Experience with vector databases (e.g., Pinecone, Chroma, Weaviate, Milvus) and integrating them into AI-driven applications.
- Hands-on experience with SQL data storage and processing (PostgreSQL preferred).
- Solid understanding of cloud infrastructure, including containerization (Docker) and orchestration (Kubernetes).
- Strong proficiency with version control (Git), CI/CD pipelines, and automated testing practices.
- Excellent problem-solving and communication skills, with the ability to articulate AI-driven solutions to both technical and non-technical audiences.
- Ability to orchestrate new codebases with AI to ensure accuracy, reliability, and alignment with business goals.
- A track record of translating business requirements into successful AI-powered solutions, from concept to production.
- Design and build AI-powered solutions that enhance automation, analytics, and decision-making.
- Develop orchestration and agent-based workflows using modern AI frameworks (e.g., LangChain) to handle repetitive tasks like data analysis.
- Integrate and optimize Large Language Models (LLMs) for various use cases, ensuring efficient prompts, context handling, and output evaluation.
- Leverage vector databases (e.g., Pinecone, Weaviate, Milvus, Chroma) and relevant tooling to power advanced search, retrieval, and recommendation systems.
- Collaborate with cross-functional teams, effectively translating complex AI concepts for both technical and non-technical stakeholders.
- Continuously enhance and refine AI models, pipelines, and systems to improve efficiency, scalability, and reliability.
- Implement best practices for version control, CI/CD, and testing to maintain high-quality AI-driven solutions.
DockerPostgreSQLPythonSQLArtificial IntelligenceCloud ComputingGitKubernetesMachine LearningAlgorithmsData StructuresCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsSoftware Engineering
Posted 27 days ago
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