AI Engineer

You will develop multi-agent orchestration workflows, advanced retrieval-augmented generation (RAG) pipelines, and natural-language interfaces to enterprise data sources. Owning these systems through full deployment, monitoring, and ongoing optimization, you will collaborate closely with data engineering, security, and product teams to deliver AI capabilities meeting enterprise standards for reliability, security, observability, and cost efficiency., * Architect Agentic Systems: Design, develop, and deploy multi-agent workflows using Python, LangGraph, and LangChain, including tool routing and human-in-the-loop controls.

• Optimize RAG Pipelines: Build end-to-end retrieval-augmented generation systems covering document ingestion, hybrid semantic retrieval, re-ranking, and access-control filtering.
• Scale Backend Microservices: Construct robust, scalable services using FastAPI, incorporating RESTful design, Pydantic validation, dependency injection, and secure authentication.
• Manage Data & Vector Stores: Provision and optimize PostgreSQL, vector databases, MongoDB, and Redis, handling schema migrations, connection pooling, and performance tuning.
• Orchestrate Containerized Deployments: Containerize applications with Docker and manage high-availability deployments on Kubernetes, handling autoscaling, secrets, and rollouts.
• Ensure Observability & Security: Implement LLM gateway routing, multi-provider failover, distributed tracing, structured logging, cost monitoring, and prompt-injection mitigations.
• Drive Cross-Functional Delivery: Collaborate with product, security, and data engineering teams to translate requirements into technical designs, runbooks, and robust CI/CD practices.

• Hands-on experience implementing MCP servers or clients, or driving A2A-based agent interoperability.
• Familiarity with agent and LLM evaluation frameworks such as LangSmith or Ragas.
• Proficiency with modern workflow orchestration platforms like Temporal, Prefect, Airflow, or Dagster.
• Working knowledge of enterprise identity and access management solutions, including Okta, Microsoft Entra ID, SSO, SCIM, and OAuth 2.0.
• Experience processing and ingesting documents at scale, encompassing OCR, unstructured text parsing, and multimodal inputs.
• Demonstrated history of mentoring junior engineers or steering technical design for cross-functional delivery teams.

Embark on a journey where your expertise fuels innovation! We are committed to fostering a vibrant environment that values your skills in AI development-empowering you to make a real difference through technology-driven solutions that shape the future of data analytics and artificial intelligence., * Bachelor’s (Required)

Experience:

• AI: 5 years (Required)

Language:

• English (Required)

• Flexible schedule