Gen AI Engineer

Overview

Infosys Topaz is an AI‑first suite of services, solutions, and platforms designed to accelerate business value through generative AI technologies. It amplifies the potential of individuals, enterprises, and communities by fostering unprecedented innovations, pervasive efficiencies, and connected ecosystems. Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that drive growth, build interconnected ecosystems, and unlock efficiencies at scale. Join a pioneering team at the forefront of AI innovation, working with cutting‑edge technologies, industry experts, and transformative projects that shape the future of business. The culture emphasizes continuous learning, growth, and a supportive environment for AI‑passionate professionals.

Responsibilities

• Develop data preparation tasks, identify patterns or anomalies, and ensure data readiness for advanced modeling.
• Build and refine models for complex use cases (e.g., forecasting, LLM‑based solutions) and deploy them as scalable, production‑ready solutions.
• Test, optimize, and ensure performance, reliability, and scalability of algorithms while guiding team members on best practices.
• Design and develop predictive models and data‑driven analyses to address business challenges; standardize code and contribute to knowledge management.
• Leverage SAS, R, or Python to create reusable customizations for non‑ML, ML, and deep‑learning algorithms, enhancing analytics including LLMs.
• Define analytics problems, execute visualization, analysis, and predictive modeling under guidance.
• Maintain models proactively, implement improvements for accuracy and reliability, and apply governance controls for risk mitigation and compliance.
• Analyze performance trends, recommend improvements, document discrepancies, and participate in knowledge‑transfer sessions.
• Engage with stakeholders to refine requirements, provide insights, and guide model implementation.
• Apply the predefined quality measurement framework at the individual task level.
• Deploy complex analytics tools or multi‑system integrations, validate deployment success, and develop scripts or templates for repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives; produce thought‑leadership content such as papers, innovative models, and proofs of concept.
• Deliver analytics training and create related content.
• Provide input for segment and unit‑level business plans.

Required Skills and Experience

• Python with hands‑on experience building enterprise GenAI applications using orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar; comfortable with RAG, vector databases, agentic workflows (tool calling, memory, multi‑agent), and prompt engineering.
• Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or comparable LLM platforms; integration with enterprise APIs, databases, and knowledge repositories.
• Building production APIs and microservices with FastAPI, Docker, and Kubernetes; solid software‑engineering fundamentals (system design, testing, CI/CD, Git).
• Proficiency with AI coding assistants (GitHub Copilot, Claude Code, Cursor) to boost engineering productivity.
• LLMOps practices including observability, tracing, evaluation (RAGAS, DeepEval, LangSmith), guardrails, cost governance, and model safety.
• Conducting code reviews, driving technical decisions, and collaborating with product and platform teams.

Preferred Skills and Experience

• Experience with open‑source LLMs (Llama, Mistral, Gemma) and fine‑tuning techniques (LoRA, QLoRA, PEFT); familiarity with Model Context Protocol (MCP).
• Knowledge of multimodal AI (vision‑language, OCR, speech) and document intelligence.
• Front‑end development (React, TypeScript), DevOps/IaC tooling (GitHub Actions, Terraform, Helm).
• Domain exposure across financial services, telecom, retail, or healthcare.

Required Qualifications

• Bachelor’s degree or foreign equivalent from an accredited institution (or three years of progressive experience in lieu of each year of education).
• Willingness to relocate and/or travel to work/project locations as required.
• Authorization to work for any employer in the United States without employer‑based visa sponsorship.
• Note: Infosys cannot provide immigration sponsorship now or in the future.

Benefits

• Medical, dental, vision, and life insurance
• Long‑term and short‑term disability coverage
• Health and dependent‑care reimbursement accounts
• Accident, critical illness, hospital indemnity, and legal insurance
• 401(k) plan with contributions dependent on salary level
• Paid holidays plus paid time off

About Us

Infosys is a global leader in next‑generation digital services and consulting, enabling clients in more than 50 countries to navigate digital transformation. With over four decades of experience managing systems for global enterprises, Infosys steers clients through their digital journey by providing an AI‑powered core, agile digital at scale, and continuous learning to drive performance and customer delight.