AI Engineer – Generative AI

About Trndigital Trndigital is a Boston-based Microsoft Gold Certified Partner specializing in managed IT services, cloud solutions, and digital transformation. We help enterprises leverage cutting-edge AI technologies, particularly Microsoft 365 Copilot and generative AI solutions, to drive business innovation and productivity. Our team focuses on delivering intelligent, scalable solutions with a strong emphasis on AI adoption, security, and compliance across healthcare, pharmaceutical, finance, and manufacturing sectors. Position Overview We’re seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You’ll work directly with enterprise clients to design, implement, and optimize GenAI solutions, helping organizations build custom AI applications. This is a client-facing role where you’ll translate business challenges into innovative AI-powered solutions. Key Responsibilities Generative AI Solution Development Design and develop generative AI applications using large language models (LLMs) and foundation modelsBuild custom AI solutions for document generation, content creation, intelligent search, and conversational interfacesDevelop and optimize prompts, fine-tune models, and implement retrieval-augmented generation (RAG) architecturesCreate custom copilots and AI assistants tailored to specific business workflows and industry requirementsImplement AI-powered automation solutions that enhance productivity and reduce manual work Required Qualifications Technical Skills 3+ years of experience in AI/ML engineering, with significant focus on Generative AI and LLMsStrong expertise in Large Language Models (GPT-4, Claude, Llama, Gemini, ) and understanding of transformer architecturesHands-on experience with prompt engineering, including advanced techniques like chain-of-thought, few-shot learning, and system promptsProficiency in Python and AI/ML libraries (LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face Transformers, OpenAI SDK)Experience building RAG (Retrieval-Augmented Generation) systems with vector databases and semantic searchStrong understanding of fine-tuning techniques, including LoRA, full fine-tuning, and parameter-efficient methodsKnowledge of API integration and building production-ready AI applicationsExperience with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality metrics)Understanding of token optimization, context management, and cost-efficient LLM usage Professional Experience Proven track record of implementing Generative AI solutions in enterprise or production environmentsBackground in consulting or client-facing roles with ability to communicate technical concepts to business stakeholdersExperience translating business requirements into AI-powered solutionsStrong problem-solving skills and ability to manage multiple projects simultaneouslyUnderstanding of data security, privacy, and compliance in AI implementations Soft Skills Excellent communication and presentation skillsAbility to explain complex GenAI concepts to non-technical audiencesStrong analytical thinking and creative problem-solvingSelf-motivated with ability to learn and adapt quicklyCollaborative mindset and team-oriented approachClient-focused with commitment to delivering high-quality solutions Preferred Qualifications (Good To Have) Additional Technical Skills Experience working with LangSmith for validation and LangGraph for orchestrationExperience with Azure OpenAI Service, Azure AI services, or other cloud AI platformsKnowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)Experience with MLOps/LLMOps practices and deployment pipelinesUnderstanding of multimodal AI (vision-language models, audio processing)Experience with agent-based architectures and autonomous AI systemsKnowledge of model evaluation frameworks and benchmarking tools Location Remote How to Apply Please submit your resume and portfolio of GenAI projects (GitHub repos, case studies, or project descriptions). Email: Sneha.Pai@trndigital.com Subject Line: AI Engineer – Generative AI Application