Senior AI Engineer

Infosys
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$73,000 - $102,200
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Software Applications Software Bug Management Software as a Service Cloud Computing Code Review Data Stream Management Systems Python (Programming Language) Machine Learning Systems Development Life Cycle
+14 more
Software Engineering Systems Integration Strategies of Testing LangChain Retrieval-Augmented Generation Large Language Models Prompt Engineering Software Application Programming Reliability of Systems Backend Agentic-AI Low Latency AutoGen GPT

Job description

Senior AI Engineer155710BRThe Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided

Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions

Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability

Conduct code reviews, do changes to the codebase and maintain code repositories

Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards

Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications

Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability

Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Requirements

Artificial Intelligence (AI), Consulting, Continuous Improvement, Predictive Modeling, Artificial Intelligence (AI), Power Amplifier, Process Improvement, Documentation Design, Software Design, Systems Maintenance, A collaborative spirit and excellent communication skills.

The ability to handle end to end SDLC phases from requirement gathering to implementation.

A knack for translating complex requirements into actionable development tasks.

A passion for design and hands-on coding experience

A proactive approach to testing, troubleshooting, and refining our applications.

The ability to work with cross-functional teams and do software integration.

AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment - leveraging Python, modern LLM frameworks, and scalable system design.

Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python

Design and implement RAG pipelines over enterprise data using embeddings and vector databases

Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain

Integrate AI systems with APIs, backend services, and cloud platforms

Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Python expertise with experience building and deploying production-grade backend systems

Experience developing applications using LLMs, including prompt engineering and orchestration

Proven experience with RAG architectures, embeddings, and vector databases

Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)

System design skills with experience building and scaling cloud-based applications

  • 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.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits & conditions

In CA / WA / NY / CO, IL, MN, NJ: $ 73000 to $ 102200

In Washington, DC: $66100 to $ 100200, Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About the company

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.

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