Senior AI/ML Engineer

About Position: We're looking for a Senior AI/ML Engineer with 6+ years exp to design, build, and scale LLM-powered agent systems that turn natural language into accurate, production-grade data insights. You'll sit at the intersection of applied AI engineering, backend systems, and analytics building the agents, services, and semantic layers that let stakeholders query complex data (Spark/Athena) through conversational interfaces, and get trustworthy answers back. Role: Senior AI/ML Engineer Location: All Persistent LocationsExperience: 6 to 10 YearsJob Type: Full-Time Employment

What You'll Do

Design and extend LLM agents using LangGraph/LangChain tool routing, SQL generation, RAG pipelines, and response synthesisBuild and maintain FastAPI services with async I/O, authentication, observability (LangFuse), and Redis-based checkpointingCurate table and metric metadata and semantic layers so LLMs generate accurate Spark/Athena SQLDesign and ship conversational interfaces (chatbots) that expose agent capabilities to end users across channels (e.g. Slack)Instrument and analyze conversation-level analytics — to drive iterative improvements to agent qualityPartner with stakeholders to encode business logic and metric definitions into the platformIntegrate data sources (AWS Athena, PySpark/Databricks) and build export pathways to Slack and Google SheetsWrite tests, improve system reliability, and tune prompts/evals to maintain production qualityBuild Skills and MCPExpertise You'll Bring:Strong PySpark and Python skills (FastAPI, Pydantic, async patterns) with solid API design fundamentalsAdvanced SQL (Spark SQL / Hive / Athena) — joins, CTEs, aggregations, partition pruning, and performance tuningData analytics experience: metric design, funnel/cohort analysis, dimensional modelingHands-on experience with BI tools (Tableau or Qlik Sense) — dashboarding, KPI definitions, and translating visualization logic into queryable data modelsPractical experience with LLM/agent systems: tool use, prompt engineering, retrieval, and evaluation; experience with LangGraph, LangChain, OpenAI APIs, or LangFuseExperience building or integrating chatbot/conversational interfaces, with an analytical approach to measuring conversation quality and user outcomesExperience with cloud data platforms (AWS), Git, and unit/integration testingBuilding AI Skills and agent workflowsMCP server development and integrations

Benefits

Competitive salary and benefits packageCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parentsValues-Driven, People-Centric & Inclusive Work Environment:Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.We support hybrid work and flexible hours to fit diverse lifestyles.Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employmentLet's unleash your full potential at Persistent - persistent.com/careers"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."