1 day ago
Mumbai, IndiaStaff+
Responsibilities
- Design and implement generative AI solutions using LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
- Build and optimize multi-agent systems for intelligent task execution, reasoning, and workflow orchestration.
- Develop RAG pipelines using embeddings, vector stores such as Weaviate, and data retrieval strategies.
- Build backend services and application interfaces with Python, FastAPI, Java, Spring Boot, or similar technologies.
- Design and support cloud-native AI solutions across AWS, Azure, and GCP, including serverless and containerized deployments.
- Integrate AI applications with data services, messaging systems, caching layers, and enterprise platforms.
- Drive observability, scalability, security, reliability, and operational-readiness practices for AI and machine learning services.
- Provide technical leadership in solution design, architectural reviews, and enterprise AI engineering standards.
- Evaluate and improve AI application performance using Apache Spark, Pandas, and related data processing technologies.
Requirements
- 13+ years of experience in software engineering, AI engineering, machine learning engineering, or related technical disciplines supporting enterprise-scale applications.
- 13+ years of experience developing production services with Python, Java, Spring Boot, FastAPI, or similar backend frameworks.
- Experience with generative AI, multi-agent systems, large language model orchestration, and RAG pipelines.
- Experience with vector databases or semantic retrieval platforms such as Weaviate and AI application data integration patterns.
- Experience deploying and operating cloud-native applications across AWS, Azure, GCP, Kubernetes, Docker, or serverless architectures.
- Experience with relational and distributed data platforms such as Oracle, PostgreSQL, Apache Ignite, ElastiCache, RabbitMQ, and Apache Spark.
- Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Information Systems, or a related field, or an equivalent combination of education, related experience, and/or military experience.
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field is preferred.
- Preferred experience includes leading enterprise AI platform architecture, working in financial services or payments, and applying observability, evaluation, and governance practices to production generative AI applications.
Benefits
- The role is on-site Monday through Friday, with in-person collaboration considered essential.
Tech Stack
Apache SparkAWSAzureDockerFastAPIGoogle Cloud PlatformJavaKubernetesPandasPostgreSQLPythonRabbitMQSpring Boot
Categories
About Fiserv
Fiserv builds payments and financial technology for banks, credit unions, merchants, and billers, including merchant acquiring, card issuing, core banking, and digital banking platforms. It earns revenue through transaction processing, software licensing, and managed services across POS (Clover), bill pay, ACH and card networks, and risk/compliance. The public company is headquartered in Milwaukee, trades on NASDAQ/BMV, acquired First Data in 2019, and serves clients in more than 100 countries.