Artificial Intelligence Engineer

Job Description

<p><b>Job Title - AI Engineer</b></p><p><b>Job Type – Contract (6 months) with extension possibility</b></p><p><b>Location – Remote</b></p><p><br></p><p><b>Your New Role</b></p><p>As an AI Engineer, you will design, build, and operate agentic AI features end to end. You will take ideas from concept to production by shaping data flows, implementing agent workflows, deploying services, and instrumenting robust evaluation and observability.</p><p><br></p><p><b>What You’ll Do</b></p><ul><li>Develop production-grade <b>Python services (e.g., FastAPI/Flask) and reliable data pipelines (SQL, DBT)</b> that power agents and tools</li><li>Design and harden agentic workflows including tool use, memory, routing, retries, and safeguards using <b>frameworks such as LangGraph and LangChain </b></li><li><b>Build and optimize RAG pipelines to ground agents in enterprise data </b></li><li>Establish evaluation harnesses with frameworks like <b>Langfuse, Langsmith, and complementary tools—leveraging LLMs as judges for unit, regression, and release-gate evaluations </b></li><li>Own reliability in production through containerization, CI/CD, logging, metrics, tracing, alerting, and participation in on-call rotations</li><li>Collaborate closely with product, design, and ML partners to turn ambiguous problems into clear milestones and measurable outcomes</li></ul><p><br></p><p><b>What You’ll Need to Succeed</b></p><p><b>Minimum Qualifications:</b></p><ul><li>Expert <b>in Python, strong at manipulating data</b>, and skilled at writing clean, efficient, production-ready code</li><li>Comfortable with data-engineering fundamentals, including <b>SQL, schema design,</b> ETL/ELT patterns, and orchestrators such as Airflow</li><li>Thinks in terms of reusability and modularity, building components that are clean, composable, and easy to extend</li><li>Understands how production systems are built and run (Docker/Kubernetes, cloud primitives, IaC, secrets management, and RBAC)</li><li><b>Hands-on experience with LangGraph and/or LangChain and understands common agent patterns </b></li><li>Understands the basics of AI evaluation and has used Langfuse or a similar framework to trace, score, and compare runs</li><li>Demonstrates a great attitude and hustle, with a bias to action, ownership, and clear communication</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with vector databases and retrieval (e.g., Qdrant, pgvector, Weaviate) and with prompt and tool-use optimization</li><li>Comfortable with system observability (OpenTelemetry, Prometheus/Grafana) and performance profiling</li><li>Understands security and privacy basics for handling user data (PII minimization, redaction, authN/Z)</li></ul><p><br></p><p><b>What You’ll get in Return</b></p><p>The client is offering an exciting opportunity to be part of in space of GenAI and competitive rate.</p><p><br></p><p><b>What You Need to Do Now</b></p><p>If you're excited about building AI systems that directly impact millions of users, click "apply now" to submit your resume, or reach out for a confidential conversation.</p>