{"id":1226883,"url":"https://alion.io/job/trndigital-ai-engineer-generative-ai","title":"AI Engineer Generative AI","company":{"id":2530253,"name":"Trn Digital","domain":"trndigital.com","url":"https://alion.io/company/trndigital","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Chain-of-Thought","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"Azure","optional":true},{"name":"FAISS","optional":true},{"name":"GitHub","optional":true},{"name":"LLMOps","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-23T18:56:27Z","employer_posted_date":null,"last_verified_at":"2026-09-23T18:56:27Z","board_verified":false,"closed_at":null,"days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"About Trndigital\n\nTrndigital 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.\n\nPosition Overview\n\nWe'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.\n\nKey Responsibilities\n\nGenerative AI Solution Development\n\nDesign and develop generative AI applications using large language models (LLMs) and foundation models\nBuild custom AI solutions for document generation, content creation, intelligent search, and conversational interfaces\nDevelop and optimize prompts, fine-tune models, and implement retrieval-augmented generation (RAG) architectures\nCreate custom copilots and AI assistants tailored to specific business workflows and industry requirements\nImplement AI-powered automation solutions that enhance productivity and reduce manual work\n\nRequired Qualifications\n\nTechnical Skills\n\n3+ years of experience in AI/ML engineering, with significant focus on Generative AI and LLMs\nStrong expertise in Large Language Models (GPT-4, Claude, Llama, Gemini, ) and understanding of transformer architectures\nHands-on experience with prompt engineering, including advanced techniques like chain-of-thought, few-shot learning, and system prompts\nProficiency in Python and AI/ML libraries (LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face Transformers, OpenAI SDK)\nExperience building RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search\nStrong understanding of fine-tuning techniques, including LoRA, full fine-tuning, and parameter-efficient methods\nKnowledge of API integration and building production-ready AI applications\nExperience with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality metrics)\nUnderstanding of token optimization, context management, and cost-efficient LLM usage\n\nProfessional Experience\n\nProven track record of implementing Generative AI solutions in enterprise or production environments\nBackground in consulting or client-facing roles with ability to communicate technical concepts to business stakeholders\nExperience translating business requirements into AI-powered solutions\nStrong problem-solving skills and ability to manage multiple projects simultaneously\nUnderstanding of data security, privacy, and compliance in AI implementations\n\nSoft Skills\n\nExcellent communication and presentation skills\nAbility to explain complex GenAI concepts to non-technical audiences\nStrong analytical thinking and creative problem-solving\nSelf-motivated with ability to learn and adapt quickly\nCollaborative mindset and team-oriented approach\nClient-focused with commitment to delivering high-quality solutions\n\nPreferred Qualifications (Good To Have)\n\nAdditional Technical Skills\n\nExperience working with LangSmith for validation and LangGraph for orchestration\nExperience with Azure OpenAI Service, Azure AI services, or other cloud AI platforms\nKnowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)\nExperience with MLOps/LLMOps practices and deployment pipelines\nUnderstanding of multimodal AI (vision-language models, audio processing)\nExperience with agent-based architectures and autonomous AI systems\nKnowledge of model evaluation frameworks and benchmarking tools\n\nLocation\n\nIndia Remote\n\nHow to Apply\n\nPlease submit your resume and portfolio of GenAI projects (GitHub repos, case studies, or project descriptions).\n\n[HIDDEN TEXT]\n\nSubject Line: AI Engineer – Generative AI Application","description_format":"text","description_chars":4155,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long 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