Senior AI Developer

Infosys • Irving, TX

2d

About The Position

Join our pioneering team as a Full-Stack AI Engineer and be at the forefront of building the next generation of intelligent, AI-powered products that redefine user experiences and solve complex business challenges. This pivotal role empowers you to own the entire solution stack, from intuitive front-end interfaces to robust back-end infrastructure, and cutting-edge agentic AI systems. You will play a critical role in designing, developing, and deploying high-impact AI-driven solutions, driving engineering excellence, and influencing our software architecture. We're seeking a passionate problem-solver who thrives in a collaborative, agile environment, dedicated to crafting innovative solutions and contributing to vibrant technical community. Required Qualifications: Candidate must be located within commuting distance of Irving, TX or be willing to relocate to the area. This position may require travel to project locations. Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. 4+ years of progressive professional software engineering experience, with a minimum of 2+ years dedicated to building and deploying AI-powered solutions. Expert proficiency in Python, Java, or Typescript/JavaScript , coupled with a profound understanding of Data Structures and Object-Oriented Principles. Extensive hands-on experience with Large Language Models ( LLMs ) (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama), including fine-tuning techniques and advanced prompt engineering. Proven expertise in designing and implementing RAG architectures, encompassing embedding strategies, vector stores, and semantic search. Deep experience with microservices , designing and implementing RESTful/GraphQL APIs , and practical application of containerization technologies (Docker/Kubernetes/Openshift). Demonstrated experience with modern web stacks (React, Next.js, Tailwind CSS, JavaScript, TypeScript, etc.). Practical experience with Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, etc.), including designing, implementing, and orchestrating multi-agent systems. Solid understanding and practical application of frameworks such as Spring Boot, FastAPI, Express, etc. Significant experience working within agile and iterative software delivery methodologies (SAFe, SCRUM, Kanban). Proficiency in various database technologies , including advanced SQL and vector databases (Oracle, PostgreSQL, MongoDB, Aurora, Pinecone, pgvector, etc.). Experience with event-driven design and architecture (e.g., SQS, SNS, Kinesis, Kafka, Spark Flink, RabbitMQ). Preferred Qualifications: Experience in designing and implementing complex multi-agent collaboration architectures. Familiarity with AI-driven development tools (e.g., Cursor, Claude, Copilot) to enhance productivity. Proven architectural experience in building horizontally scalable, highly available, highly resilient, and low-latency applications. Experience with both on-premise and public cloud infrastructure (e.g., OpenShift, AWS), including Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of Security, Observability, and Monitoring tools (e.g., Grafana, Prometheus, Splunk, ELK, CloudWatch). Prior experience mentoring and providing technical leadership to teams of 5 or more developers. Familiarity with Job Schedulers (e.g., Apache Workflow, Autosys, CloudWatch). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Travel may be required as per the job requirements. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Requirements

• Candidate must be located within commuting distance of Irving, TX or be willing to relocate to the area. This position may require travel to project locations.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• 4+ years of progressive professional software engineering experience, with a minimum of 2+ years dedicated to building and deploying AI-powered solutions.
• Expert proficiency in Python, Java, or Typescript/JavaScript , coupled with a profound understanding of Data Structures and Object-Oriented Principles.
• Extensive hands-on experience with Large Language Models ( LLMs ) (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama), including fine-tuning techniques and advanced prompt engineering.
• Proven expertise in designing and implementing RAG architectures, encompassing embedding strategies, vector stores, and semantic search.
• Deep experience with microservices , designing and implementing RESTful/GraphQL APIs , and practical application of containerization technologies (Docker/Kubernetes/Openshift).
• Demonstrated experience with modern web stacks (React, Next.js, Tailwind CSS, JavaScript, TypeScript, etc.).
• Practical experience with Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, etc.), including designing, implementing, and orchestrating multi-agent systems.
• Solid understanding and practical application of frameworks such as Spring Boot, FastAPI, Express, etc.
• Significant experience working within agile and iterative software delivery methodologies (SAFe, SCRUM, Kanban).
• Proficiency in various database technologies , including advanced SQL and vector databases (Oracle, PostgreSQL, MongoDB, Aurora, Pinecone, pgvector, etc.).
• Experience with event-driven design and architecture (e.g., SQS, SNS, Kinesis, Kafka, Spark Flink, RabbitMQ).

Nice To Haves

• Experience in designing and implementing complex multi-agent collaboration architectures.
• Familiarity with AI-driven development tools (e.g., Cursor, Claude, Copilot) to enhance productivity.
• Proven architectural experience in building horizontally scalable, highly available, highly resilient, and low-latency applications.
• Experience with both on-premise and public cloud infrastructure (e.g., OpenShift, AWS), including Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Knowledge of Security, Observability, and Monitoring tools (e.g., Grafana, Prometheus, Splunk, ELK, CloudWatch).
• Prior experience mentoring and providing technical leadership to teams of 5 or more developers.
• Familiarity with Job Schedulers (e.g., Apache Workflow, Autosys, CloudWatch).

Responsibilities

• Pioneer Full-Stack AI Application Development: Design, develop, and deploy transformative end-to-end applications leveraging modern web frameworks (React, Next.js, FastAPI/Python, Java) with Large Language Models (LLMs) at their core.
• Architect Agentic AI Systems: Lead the design and implementation of sophisticated autonomous agents capable of multi-step reasoning, planning, and dynamic task execution using frameworks like LangChain, LangGraph, or AutoGen.
• Innovate RAG Pipeline Design: Architect and optimize production-grade Retrieval-Augmented Generation (RAG) pipelines, focusing on advanced embedding strategies, efficient vector database management (Pinecone, Milvus, Chroma), and superior retrieval performance.
• Build Scalable Backend & API Integrations: Develop highly performant, asynchronous backend services that seamlessly integrate LLMs, external APIs, and tools, ensuring exceptional reliability and ultra-low latency.
• Optimize Data & Database Management: Strategically manage structured and unstructured data, overseeing both traditional SQL/NoSQL databases and advanced vector databases to enable context-aware and intelligent AI systems.
• Champion Engineering Excellence & Agile Delivery: Drive best practices in code quality, unit testing, CI/CD, and security. Act as a strong contributor within an Agile software delivery team, collaborating to achieve sprint goals and actively participating in the broader Citi technical community and Agile/Scrum processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level