{"id":1227926,"url":"https://alion.io/job/hiringblaze-ai-engineer","title":"AI Engineer","company":{"id":3800132,"name":"HiringBlaze","domain":"hiringblaze.com","url":"https://alion.io/company/hiringblaze","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Agra, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1000000,"max":1800000,"currency":"INR","period":"year","gross":true,"usd_annual":18868},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Chroma","optional":false},{"name":"Django","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"llama.cpp","optional":false},{"name":"LLM","optional":false},{"name":"LM Studio","optional":false},{"name":"LocalAI","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"Ollama","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"vLLM","optional":false},{"name":"Weaviate","optional":false},{"name":"AWQ","optional":true},{"name":"CrewAI","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"GGUF","optional":true},{"name":"GPTQ","optional":true},{"name":"LangChain","optional":true},{"name":"LLaVA","optional":true},{"name":"Machine Learning","optional":true},{"name":"n8n","optional":true},{"name":"PaddleOCR","optional":true},{"name":"PaddlePaddle","optional":true},{"name":"Whisper","optional":true}],"status":"closed","first_seen_at":"2026-09-22T11:33:20Z","employer_posted_date":null,"last_verified_at":"2026-09-29T18:10:31Z","board_verified":false,"closed_at":"2026-09-29T18:10:31Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Industry : Healthcare / Medical Devices\n\nLocation : Agra, Uttar Pradesh (On-site | Relocation required)\n\nExperience : 1 - 3 Years\n\nEmployment Type : Full-Time\n\nNotice Period : Immediate to 30 days preferred\n\nAbout the Company : \n\nOur client is one of India's most established names in the medical devices and healthcare products space, with a legacy of over five decades and a strong pan-India presence. \n\nThe organisation is now investing in building an AI-led internal technology ecosystem to drive efficiency, automation, and data intelligence across its operations. This is a greenfield role - you will be among the first to build the AI function from the ground up, working closely with senior leadership.\n\nAbout the Role : \n\nWe are looking for a hands-on AI Engineer to build and deploy practical, privacy-first AI solutions for internal teams. You will work directly with business and management to identify use cases, prototype solutions, and ship production-ready internal tools - all within a secure, on-premise or hybrid AI environment.\n\nKey Responsibilities : \n\n1. Use Case Identification : \n\n- Work with business and management teams to identify and prioritise high-impact AI use cases.\n\n- Define feasibility, success metrics, and scope before development begins.\n\n2. Local AI & Analytics : \n\n- Build analytics solutions on structured internal data using local / on-prem LLM ecosystems.\n\n- Deliver summaries, trend reports, anomaly detection, and exception flagging - without routing sensitive data through third-party cloud APIs.\n\n3. Application Development : \n\n- Turn validated AI concepts into reliable, production-ready internal tools.\n\n- Own the full stack : backend, database, APIs, and a functional front-end UI.\n\n4. Architecture Recommendations : \n\n- Recommend deployment approaches (on-prem, hybrid, private cloud) based on data sensitivity, cost, and performance.\n\n- Document trade-offs between local and cloud AI workloads.\n\n5. Multimodal AI : \n\n- Work with documents, images, audio, and multimodal AI models.\n\n- Build OCR, transcription, document parsing, and extraction pipelines.\n\n6. Hardware Planning : \n\n- Benchmark AI models against available and prospective hardware (GPUs, edge servers, storage).\n\n- Support evaluation and procurement decisions for local AI infrastructure.\n\nMust-Have Skills & Experience : \n\n- 1 - 3 years of hands-on AI/ML engineering experience in a production environment.\n\n- Strong Python skills and experience with at least one backend framework (FastAPI, Flask, Django, or equivalent).\n\n- Proven experience deploying open-source LLMs locally (Ollama, vLLM, LM Studio, llama.cpp, or similar).\n\n- Practical knowledge of RAG pipelines and vector databases (FAISS, Chroma, Qdrant, Weaviate).\n\n- Ability to build functional UIs for internal tools (React, Streamlit, or similar).\n\n- Experience with OCR, document parsing, or audio transcription pipelines.\n\n- Comfortable with SQL/NoSQL databases and REST API design.\n\n- Ability to work independently with non-technical business stakeholders.\n\nGood to Have : \n\n- Prior experience in healthcare, pharma, or manufacturing domain.\n\n- Knowledge of GPU server setup, CUDA, and model quantisation (GGUF, AWQ, GPTQ).\n\n- Familiarity with workflow automation tools (n8n, Airflow, LangChain, CrewAI).\n\n- Exposure to multimodal models (LLaVA, Whisper, PaddleOCR, etc.).\n\n- Experience in greenfield AI transformation projects within enterprise settings.\n\nWhat We Offer : \n\n- Direct access to senior leadership - your work will drive real business decisions.\n\n- Greenfield AI mandate - you shape the roadmap, not just execute it.\n\n- Stable, well-established organisation with deep domain expertise.\n\n- Opportunity to build a local AI ecosystem from scratch.\nSkills\nArtificial Intelligence, LLM, Analytics, Python, Django, VectorDB, RAG, Machine Learning","description_format":"text","description_chars":3838,"description_truncated":false,"requirements":{"experience_years_min":1,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"},{"event":"close","at":"2026-09-29T18:10:31Z"}],"liveness":null,"pay":{"stated_usd_annual":18868,"is_top_pay":false},"html_url":"https://alion.io/job/hiringblaze-ai-engineer","json_url":"https://alion.io/job/hiringblaze-ai-engineer.json","meta":{"generated_at":"2026-10-01T03:03:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2519,"day_limit":5000,"remaining_today":2481,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}