AI Engineer GenAI Developer

LTM

New York (NY)

On-site

USD 130,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Comprehensive Medical Plan
Short Term and Long-Term Disability
401(k) Plan with Company match
Life Insurance
Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking an experienced AI Engineer in New York to design and build scalable AI-powered solutions for enterprise applications. The role covers developing with Python/Java/TypeScript, building AI solutions with LLMs, and architecting prompt engineering and agent orchestration.

You will deploy on cloud platforms and integrate with enterprise systems. The engineer collaborates with cross-functional teams to deliver AI-enabled products, leveraging data pipelines, vector databases, and

Qualifications

  • Strong programming experience in Python, Java or TypeScript.
  • Hands-on experience with GenAI, LLMs, prompt engineering and AI application development.
  • Expertise in Prompt Engineering, Context Engineering and Agent Orchestration.
  • Experience integrating REST APIs, SDKs and enterprise platforms.
  • Cloud experience with AWS, Azure or GCP.
  • Strong knowledge of Data Engineering, SQL, ETL pipelines and Vector Databases.
  • Familiarity with LangChain, LangGraph, LlamaIndex, MCP or similar AI frameworks.

Responsibilities

  • Develop applications using Python, Java or TypeScript.
  • Build AI solutions leveraging LLMs, RAG, prompt engineering and context engineering.
  • Design and implement agentic workflows and multiagent orchestration.
  • Integrate AI models with enterprise systems through APIs, developer tools and cloud services.
  • Develop and maintain data pipelines, ETL processes and vector databases.
  • Deploy and manage solutions on AWS, Azure or GCP.
  • Collaborate with crossfunctional teams to deliver scalable AI-enabled products.

Skills

Python
Java
TypeScript
GenAI
LLMOps
Data Science

Tools

LangChain
LangGraph
LlamaIndex
MCP

Job description

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltm.com.

Work Location : New York, NY, USA

Experience 5-10 Years

Role Summary

We are looking for an experienced AI Engineer with strong software development skills and hands-on expertise in Generative AI LLMs prompt engineering agent orchestration APIs cloud platforms and data engineering The candidate will be responsible for designing and building scalable AI powered solutions for enterprise applications

Key Responsibilities
  • Develop applications using Python Java or TypeScript
  • Build AI solutions leveraging LLMs RAG prompt engineering and context engineering
  • Design and implement agentic workflows and multiagent orchestration
  • Integrate AI models with enterprise systems through APIs developer tools and cloud services
  • Develop and maintain data pipelines ETL processes and vector databases
  • Deploy and manage solutions on AWS Azure or GCP
  • Collaborate with crossfunctional teams to deliver scalable AIenabled products
Required Skills
  • Strong programming experience in Python Java or TypeScript
  • Handson experience with LLMs GenAI frameworks and AI application development
  • Expertise in Prompt Engineering Context Engineering and Agent Orchestration
  • Experience integrating REST APIs SDKs and enterprise platforms
  • Cloud experience with AWS Azure or GCP
  • Strong knowledge of Data Engineering SQL ETL pipelines and Vector Databases
  • Familiarity with LangChain, LangGraph, LlamaIndex, MCP or similar AI frameworks

Mandatory Skills : GenAI - LLMOps, Java, Python - Data Science

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks
  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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