10 days ago
USA (city not specified)Mid Level
Base Salary
$73k - $122k/yr
Responsibilities
- Develop data preparation workflows, identify patterns and anomalies, and ensure data readiness for advanced modeling.
- Build, evaluate, optimize, and deploy predictive, machine learning, deep learning, and LLM-based models in scalable production environments.
- Develop enterprise GenAI applications using orchestration frameworks, RAG, vector databases, agentic workflows, and prompt engineering.
- Build production APIs and microservices and integrate AI platforms with enterprise APIs, databases, and knowledge repositories.
- Apply LLMOps practices including observability, tracing, evaluation, guardrails, cost governance, and model safety.
- Conduct testing, code reviews, performance optimization, technical decision-making, governance, and quality measurement.
- Collaborate with stakeholders and product and platform teams to refine requirements and guide model implementation.
- Create reusable scripts, templates, standardized code, documentation, knowledge assets, training content, and proofs of concept.
- Contribute to thought leadership, innovation, analytics training, knowledge transfer, and business planning with data-driven insights.
Requirements
- Bachelor’s degree or foreign equivalent from an accredited institution, or equivalent progressive experience in the specialty.
- Hands-on Python experience building enterprise GenAI applications with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
- Experience with RAG, vector databases, agentic workflows, tool calling, memory, multi-agent systems, and prompt engineering.
- Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms and enterprise integrations.
- Experience building production APIs and microservices with FastAPI, Docker, and Kubernetes.
- Knowledge of software engineering fundamentals including system design, testing, CI/CD, Git, and AI coding assistants.
- Experience with LLMOps, including observability, tracing, evaluation, guardrails, cost governance, and model safety.
- Preferred experience with Llama, Mistral, Gemma, LoRA, QLoRA, PEFT, Model Context Protocol, multimodal AI, document intelligence, React, TypeScript, GitHub Actions, Terraform, and Helm.
- Domain exposure in financial services, telecommunications, retail, or healthcare is preferred.
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 and paid time off.
- The position may require relocation and/or travel to the work or project location.
- This is a full-time Infosys employee position.
Tech Stack
Categories
About Infosys
Infosys is a public IT services and consulting company that builds and runs software systems for large enterprises across industries. It provides consulting, systems integration, cloud and AI services, engineering, and business process outsourcing, and sells platforms such as EdgeVerve's Finacle core banking suite. Founded in 1981 and headquartered in Bangalore, it serves clients in 50+ countries and is listed on the NSE, BSE, and NYSE.