AI Engineer

We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems.

What You’ll Do:

• Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, or custom orchestration layers.
• Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use.
• Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs).
• Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies.
• Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features.
• Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders.
• Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security.

Must-Have Technical Skills:

• 3–5 years software engineering or ML experience in production environments.
• Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus.
• Hands-on with at least one LLM/agent framework (LangChain, LangGraph, Google ADK, LlamaIndex, etc.).
• Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models.
• Experience building and securing REST/GraphQL APIs and microservices.
• Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization).
• Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar).
• Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines.

Core Soft Skills:

• Product mindset: translate ambiguous requirements into clear deliverables and user value.
• Communication: explain complex AI concepts to both engineers and executives; write crisp documentation.
• Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others.
• Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security.
• Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space.

Nice-to-Haves:

• Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake)
• Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns.
• Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas).
• Knowledge of privacy-enhancing techniques (data anonymization, differential privacy).
• Prior work on conversational UX, prompt marketplaces, or agent simulators.
• Contributions to open-source AI projects or published research.

Why Join Us?

• Direct impact on products used by Fortune 500 teams.
• Work with cutting-edge models and shape best practices for enterprise AI agents.
• Collaborative culture that values experimentation, continuous learning, and work–life balance.
• Competitive salary, equity, remote-first flexibility, and professional development budget.

About Sensecloud

We are on a mission to revolutionize the way Procurement analytics is done. Sensecloud is an Agents-First data management and analytics platform designed for procurement users to self-serve, manage, and interpret complex procurement data, without the need for data science expertise.

Sensecloud is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.

Interested? Contact careers@sensecloud.ai