Job Opportunities API

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A preeminent professional services network and one of the world's leading accounting firms. The organization delivers industry-leading assurance, advisory, and tax services to top-tier global enterprises. Today, the firm integrates robust cloud systems and scalable generative AI to solve complex digital challenges and deliver advanced automation tools worldwide.  What You’ll Do Design and implement production-ready agentic AI workflows using modern multi-agent and single-agent architectures. Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases, hybrid search, retrieval re-ranking, and prompt optimization. Develop scalable Python and Java services following enterprise software engineering best practices. Integrate AI services into CI/CD pipelines while implementing monitoring, logging, and observability for production environments. Design prompt engineering strategies that optimize context windows, model performance, and operational costs. Implement evaluation frameworks, hallucination detection, guardrails, and continuous feedback loops to improve model quality and reliability. Collaborate with cross-functional engineering teams to deliver secure, scalable AI solutions that solve complex business problems. What You Bring Hands-on experience designing and deploying production-grade agentic AI workflows. Strong Python development experience; Java experience is highly desirable. Deep expertise with Retrieval-Augmented Generation (RAG), vector databases, embeddings, hybrid search, and retrieval optimization. Experience with LangGraph, LangChain, Model Context Protocol (MCP), FastAPI, and asynchronous Python development. Strong understanding of prompt engineering, context window optimization, and LLM orchestration patterns. Experience implementing AI solutions within enterprise CI/CD pipelines and production environments. Knowledge of software engineering best practices, including testing, monitoring, observability, documentation, and production support. AI & Technology Stack: Python, Java, LangGraph, LangChain, MCP (Model Context Protocol), FastAPI, Async Python, Pinecone, Weaviate, Cloudflare Vectorize, pgvector, MongoDB, Elasticsearch, Kafka, OpenTelemetry, Grafana, Tempo, Mem0, GitHub Actions, Jenkins, Galileo Evaluation Framework, Guardrails, LLM-as-a-Judge, Claude Code, and AMP. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to balance experimentation with production-grade engineering practices. Strong ownership mindset with attention to scalability, reliability, and maintainability. Passion for continuous learning within the rapidly evolving AI landscape. Nice to have Experience within Financial Services, Risk Management, or Compliance domains. Experience building enterprise AI platforms and intelligent automation solutions. Familiarity with large-scale knowledge management and semantic search systems. Experience designing AI evaluation pipelines and model governance frameworks. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities ma