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Key Responsibilities
AI Development
Design develop and maintain scalable AI agents using AI Foundry Fabriq IQ and Microsoft Copilot
Full Stack Development
Design develop and maintain scalable applications using NET C APIs backend services and React modern frontend frameworks
Build responsive highperformance user interfaces and robust backend services
Ensure code quality performance optimization and adherence to enterprise architecture standards
AIDriven SDLC Enablement
Use AI tools such as GitHub Copilot and Claude Code to accelerate development including code generation debugging and documentation
Integrate AI across SDLC phasesrequirements design coding testing and deployment
Apply structured AI SDLC frameworks such as BMAD or similar approaches to optimize development workflows
Contribute to evolving best practices for AIassisted engineering
Framework Collaboration Innovation
Work alongside the internal AI team to refine validate and pressuretest existing AI development frameworks
Help define and shape the organizations AIdriven development approach in real time
Participate in pilot programs experimentation and continuous improvement initiatives
Solution Design Business Alignment
Translate business requirements into scalable secure and maintainable technical solutions
Collaborate with product owners architects and business stakeholders to ensure alignment and clarity
Provide input on system design architecture and technical tradeoffs
Agile Delivery
Support iterative delivery quick prototyping and continuous alignment with stakeholders
Participate in Agile ceremonies and crossfunctional collaboration
Key Competencies
Strong problemsolving and analytical skills
Ability to work effectively in fastpaced evolving AIdriven environments
Excellent communication and crossfunctional collaboration skills
Adaptability and eagerness to learn emerging AI technologies
Ownership mindset with a focus on outcomes and delivery
Work Environment
Engagement Model Hightouch collaboration with AI Product and Engineering teams
Focus Driving enterprise adoption of AIenabled software development practices
LTM is a global technology consulting and digital solutions LTM 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 750 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 more than 90,000 talented and entrepreneurial professionals across 30 countries, LTM — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile L&T Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more, please visit https://ltm.com.
Job ID: 151978731
Skills:
model development , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Azure, Python, Kubernetes, LangChain, Generative AI, Model Evaluation, MLflow, Statistics, MLOps Fundamentals, Vector Databases, RAG Architecture, Vertex AI, OpenAI, Responsible AI, Prompt Engineering
Skills:
Apis, Data Security, Nlp, MLops, LangChain, AI lifecycle management, Generative AI, Anthropic Gemini, Pinecone, Azure OpenAI, Semantic Kernel, Chroma, FAISS, OpenAI, Azure AI Search, LlamaIndex, model monitoring
Skills:
.Net Core, software design patterns , SQL Server, Gen AI, Object-Oriented Programming
Skills:
Java, Rest Assured, Jenkins, Swagger, Selenium, Postman, Azure DevOps, Playwright, GitLab CI, GitHub Actions, Agentic AI, Large Language Models, LLM tuning
Skills:
APIM, Azure Functions, Cosmos DB, Azure Storage, Python, LangChain, LLM integration, Azure OpenAI, prompt engineering, LangGraph, model evaluation techniques, Azure AI services, RAG pipelines
