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49 Xoriant Data Jobs Hiring Near You

Python AI Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Experience with AI and data pipeline ecosystem (good-to-have). * Experience with Agent frameworks (LangChain, LangGraph, or similar), AIOps, Build CI/CD pipelines. * Strong Python engineering (async ...

Database & Data Processing * Design, develop, and optimize solutions using Amazon Aurora (Postgres SQL) * Develop, maintain, and optimize Amazon Aurora database objects, including stored procedures ...

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    Infographic showing various Data job openings at Xoriant in the United States as of August 2026, with employment types broken down into 10% Full Time, and 90% Contract. Highlights an 100% Physical job distribution.

    Python AI Developer

    Xoriant Corporation

    Manhattan, NY • On-site

    $55.50 - $76.25/hr

    Other

    Re-posted 4 days ago


    Job description

    Python AI Developer

    Client: Financial Services

    Location: New York, NY 10036

    Long term contract

     

    Manager call notes:

    • Hands on with python programming.
    • Experience on multi agent architecture and very good exposure on agentic workflows.
    • Should have built agentic system in production for enterprise
    • Experience in Lang Chain, Lang graph, Galileo
    • Prompt engineering – chain of thoughts, react.
    • Not looking for ML folks
    • Good team player and no cheating using Chat GPT etc

     

    Job details:

    Mission

    • Design and implement highly scalable and fault-tolerant distributed systems utilizing core Python and modern asynchronous programming frameworks.
    • Drive performance optimization & cost efficiency via deep profiling and memory-aware engineering.
    • Establish production-grade CI/CD, testing (pytest), and type safety (mypy) for robust code quality.
    • Build agents/components that reason, plan and act.
    • Implement guardrails, cognitive patterns such as ReAct patterns.
    • Develop memory and tool-use capabilities (MCP), collaborate with prompt engineers.

    Skill Set

    • Mastery of asyncio, multithreading, OOP, and memory management.
    • Implement enterprise-grade security & compliance, including encryption and secrets management across AWS/Google Cloud Platform/Azure, Databricks, Snowflake.
    • Experience with AI and data pipeline ecosystem (good-to-have).
    • Experience with Agent frameworks (LangChain, LangGraph, or similar), AIOps, Build CI/CD pipelines.
    • Strong Python engineering (async, APIs, microservices).
    • Experience with Snowflake, Databricks, Lakehouse architectures.