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Senior AI Developer

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Infosys Limited
Full Time position
Listed on 2026-02-21
Job specializations:
  • Software Development
    AI Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 a 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/Graph

    QL APIs, and practical application of containerization technologies (Docker/Kubernetes/Openshift).
  • Demonstrated experience with modern web stacks (React, Next.js, Tailwind CSS, JavaScript, Type Script, etc.).
  • Practical experience with Agentic frameworks (Lang Chain, Lang Graph, Auto Gen, 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, Postgre

    SQL, Mongo

    DB, Aurora, Pinecone, pgvector, etc.).
  • Experience with event‑driven design and architecture (e.g., SQS, SNS, Kinesis, Kafka, Spark Flink, Rabbit

    MQ).
Key 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 Lang Chain, Lang Graph, or Auto Gen.
  • 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/No

    SQL 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…
Position Requirements
10+ Years work experience
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