招聘
Infosys Limited is seeking an API Developer with AI /ML. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Key Responsibilities
- Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms.
- Support use cases such as document processing, summarization, Q&A, copilots, and workflow augmentation.
- Define reference architectures for GenAI components (LLMs, vector stores, APIs, orchestration layers).
- Collaborate with engineers to integrate GenAI services into existing applications and data platforms.
- Assist with prompt engineering, evaluation, and optimization for reliability and performance.
- Provide technical guidance during Po Cs and early production deployments.
- Document architecture decisions, patterns, and implementation guidance.
Required Qualifications
- Candidate must be located within commuting distance of any of mentioned locations i.e., Hartford, CT or Raleigh, NC or be willing to relocate to the area. This position may require travel in USA.
- 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.
- At least 4 years of experience in Information Technology.
- Experience in software, data, or cloud architecture roles.
- Hands on experience with Generative AI based solutions.
- Working knowledge of REST APIs, cloud services, and modern application architectures.
- Experience collaborating with engineering and product teams.
- Strong communication skills with the ability to explain AI concepts to non technical stakeholders
- 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 at this time
Preferred Qualifications :
- Familiarity with tools such as Azure OpenAI, OpenAI APIs, Lang Chain, Semantic Kernel, or similar frameworks
- Good understanding of Agile software development frameworks
- Strong communication and Analytical skills
- Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
- Experience and desire to work in a global delivery environment
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
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关于Infosys

Infosys
PublicInfosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.
10,001+
员工数
Bengaluru
总部位置
$72B
企业估值
评价
3.9
10条评价
工作生活平衡
3.7
薪酬
2.8
企业文化
4.1
职业发展
3.2
管理层
3.4
75%
推荐给朋友
优点
Flexible work hours and remote work options
Good learning opportunities and training programs
Collaborative environment and supportive colleagues
缺点
High workload and long hours during deadlines
Low salary and uncompetitive pay
Limited career advancement and growth opportunities
薪资范围
220,463个数据点
Senior/L5
Senior/L5 · Data Scientist
0份报告
$933,861
年薪总额
基本工资
$933,861
股票
-
奖金
-
$793,782
$1,073,940
面试经验
2次面试
难度
3.5
/ 5
时长
14-28周
体验
正面 0%
中性 50%
负面 50%
面试流程
1
Application Review
2
Online Assessment
3
Technical Interview
4
HR Round
5
Final Decision
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Problem Solving
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