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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Engineer - **Company:** Infosys - **Location:** United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Documentation, Code Review, Databases, Continuous Integration, Python (Programming Language), Knowledge Management, SAS (Software), Large Language Models, Deep Learning, Git, Fastapi, Kubernetes, Data Analytics, Machine Learning Operations, Docker, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/gen-ai-engineer-new-jersey-usa-58879009 ## About the Role create to create reusable AI customizations across ML and deep learning * Define analytics problems and execute visualization, analysis, and predictive modeling under guidance * Maintain models, implement improvements for accuracy and reliability * Apply governance controls to mitigate risks and ensure compliance * Analyze performance trends and document discrepancies for escalation * Maintain documentation standards and participate in knowledge transfer * Engage with stakeholders to refine requirements and guide model implementation * Apply quality measurement framework at task level; validate deployment success * Develop scripts/templates for repeated deployment tasks * Contribute to analytic solutions, IP assets, and training initiatives * Contribute to thought leadership through papers and proofs of concepts * Deliver analytics training and contribute to content creation * Support business planning with data-driven insights Tasks * Python proficiency and hands-on experience building GenAI apps with LangChain, Lang Graph, Llama Index or similar orchestration frameworks * Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic or similar LLM platforms; enterprise API/database integration * Production API and microservice development with FastAPI, Docker, Kubernetes; solid software engineering fundamentals (design, testing, CI/CD, Git) * LLMOps practices including observability, tracing, evaluation, guardrails, cost governance, model safety * Code reviews, technical decision making, collaboration with product/platform teams Key requirements * Medical/Dental/Vision/Life Insurance * 401(k) plan and contributions * Paid holidays plus Paid Time Off * Disability insurance * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) ## Description Experteer Overview In this Data Science Consultant 2 role at Infosys Topaz, you will develop data preparation pipelines and ready data for advanced modeling. You'll build and refine models, including forecasting and LLM-based solutions, and deploy scalable, production-ready analytics. You'll guide teammates, ensure governance and quality, and drive data-driven insights for business challenges. This position offers hands-on work with cutting-edge AI tech and opportunities to influence transformation at scale. Compensation / Benefits * Develop data preparation tasks and identify data patterns * Ensure data readiness for advanced modeling * Develop and optimize models for complex use cases (forecasting, LLM-based) and deploy production-ready solutions * Test, optimize, and guide best practices across the team * Design and develop predictive models and data-driven analyses * Build, evaluate, deploy, and standardize analytics code; contribute to knowledge management * Leverage SAS and R/Python to create reusable AI customizations across ML and deep learning * Define analytics problems and execute visualization, analysis, and predictive modeling under guidance * Maintain models, implement improvements for accuracy and reliability * Apply governance controls to mitigate risks and ensure compliance * Analyze performance trends and document discrepancies for escalation * Maintain documentation standards and participate in knowledge transfer * Engage with stakeholders to refine requirements and guide model implementation * Apply quality measurement framework at task level; validate deployment success * Develop scripts/templates for repeated deployment tasks * Contribute to analytic solutions, IP assets, and training initiatives * Contribute to thought leadership through papers and proofs of concepts * Deliver analytics training and contribute to content creation * Support business planning with data-driven insights Tasks * Python proficiency and hands-on experience building GenAI apps with LangChain, Lang Graph, Llama Index or similar orchestration frameworks * Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic or similar LLM platforms; enterprise API/database integration * Production API and microservice development with FastAPI, Docker, Kubernetes; solid software engineering fundamentals (design, testing, CI/CD, Git) * LLMOps practices including observability, tracing, evaluation, guardrails, cost governance, model safety * Code reviews, technical decision making, collaboration with product/platform teams Key requirements * Medical/Dental/Vision/Life Insurance * 401(k) plan and contributions * Paid holidays plus Paid Time Off * Disability insurance * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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