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Job description
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 models
Build custom AI solutions for document generation, content creation, intelligent search, and conversational interfaces
Develop and optimize prompts, fine-tune models, and implement retrieval-augmented generation (RAG) architectures
Create custom copilots and AI assistants tailored to specific business workflows and industry requirements
Implement 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 LLMs
Strong expertise in Large Language Models (GPT-4, Claude, Llama, Gemini, ) and understanding of transformer architectures
Hands‑on experience with prompt engineering , including advanced techniques like chain‑of‑thought, few‑shot learning, and system prompts
Proficiency 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 search
Strong understanding of fine‑tuning techniques, including LoRA, full fine‑tuning, and parameter‑efficient methods
Knowledge of API integration and building production‑ready AI applications
Experience 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 environments
Background in consulting or client‑facing roles with ability to communicate technical concepts to business stakeholders
Experience translating business requirements into AI‑powered solutions
Strong problem‑solving skills and ability to manage multiple projects simultaneously
Understanding of data security, privacy, and compliance in AI implementations
Soft Skills
Excellent communication and presentation skills
Ability to explain complex GenAI concepts to non‑technical audiences
Strong analytical thinking and creative problem‑solving
Self‑motivated with ability to learn and adapt quickly
Collaborative mindset and team‑oriented approach
Client‑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 orchestration
Experience with Azure OpenAI Service , Azure AI services, or other cloud AI platforms
Knowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
Experience with MLOps/LLMOps practices and deployment pipelines
Understanding of multimodal AI (vision‑language models, audio processing)
Experience with agent‑based architectures and autonomous AI systems
Knowledge of model evaluation frameworks and benchmarking tools
Location
Remote
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Who can apply
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