NET Full Stack - AI Engineer

About LTIMindtree

LTIMindtree 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, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree a Larsen & Toubro Group company solves the most complex business challenges and delivers transformation at scale. For more information, please visit ;/p>

We are seeking a forward thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques

ROLE DESCRIPTION

• Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
• Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
• Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis
• Build multi agentic systems
• Integrate AI capabilities into enterprise applications using Azure OpenAI Cognitive Search Azure Functions and Power Automate
• Collaborate with stakeholders to translate business needs into scalable AI solutions
• Ensure model reliability performance and ethical compliance across deployments

SKILLS

• 8 to 12 years of experience as Fullstack developer with at least 2 to 4 years in generative AI or RAG systems
• Proficiency in Azure AI Studio Azure Cognitive Services VectorDBs eg Pinecone FAISS
• Chunking techniques and embedding strategies
• MLOps tools MLflow Docker CICD pipelines
• Experience with prompt engineering model evaluation
• Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration
• Technical Soft Skills Expertise Level Expert Good Knowledge
• NET React Expert
• PythonExpert
• AI SolutionsExpert
• Azure Cognitive SolutionsGood
• SDLC Lifecycle Good
• Partner Client Communications Expert

Desired Skills

• Technical Soft Skills Expertise Level Expert Good Knowledge
• ADO Azure Devops Good Knowledge

Skills

Mandatory Skills : Azure AI Studio,Azure Cognitive Services,Azure Open AI Service

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
• Vacation Time, Sick Leave, Paid Holidays
• 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.