{"id":2767482,"url":"https://alion.io/job/mesitus-applied-ai-engineer-2","title":"Applied AI Engineer","company":{"id":3800210,"name":"Mesitus","domain":"mesitus.in","url":"https://alion.io/company/mesitus","size_band":null,"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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"NER","optional":false},{"name":"NumPy","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SFT","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Axolotl","optional":true},{"name":"DPO","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"Model Distillation","optional":true},{"name":"Quantization","optional":true},{"name":"RAG","optional":true},{"name":"RLHF","optional":true},{"name":"Tool Use","optional":true},{"name":"Transformers","optional":true},{"name":"TRL","optional":true},{"name":"Unsloth","optional":true}],"status":"live","first_seen_at":"2026-09-26T05:43:19Z","employer_posted_date":null,"last_verified_at":"2026-09-26T05:43:19Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"The Role :\n\nWork at the forefront of medical AI - not by wiring together off-the-shelf services, but by owning the systems and the models behind them. Clinical work is messy, spoken, time-critical, and unforgiving of errors, which makes it one of the most interesting applied AI problem spaces there is. \n\nThe headline opportunity: pushing the frontier on special-purpose models of our own - fine-tuned, highthroughput, domain-adapted models that beat general-purpose LLMs on the narrow things medicine actually needs, at a fraction of the cost and latency. \n\nPrior fine-tuning experience is not required; we want strong applied AI engineers with solid fundamentals and the motivation to grow into this, and we'll support you in doing so.\n\nWhat you'll do:\n\n- Real-time clinical document generation - turn a live consultation into a structured, clinically accurate document while the clinician is still in the room. Sub-second latency, zero tolerance for hallucination.\n\n- Fine-tuning special-purpose models - LoRA, PEFT, SFT and preference alignment, optimized for highthroughput serving. Dataset design through to production. This is where we invest in going deep.\n\n- Speech-to-text and audio pipelines - real clinical audio: multiple speakers, accents, noise, and Swedish and German medical vocabulary no off-the-shelf model has seen.\n\n- Medical NER and structured extraction - medications, dosages, diagnoses, procedures and temporal relationships pulled out of free text, reliable enough to write into a patient record.\n\n- Evaluation pipelines - in healthcare, \"it looks good\" is not a metric. Golden datasets, automated judges, clinician-in-the-loop review, and the monitoring that catches regressions before a clinic does.\n\n- Automated booking and scheduling - agentic systems that handle real patient interactions end to end, with real-world consequences when they go wrong.\n\n- Data and deployment - curate clinical datasets to a training-ready standard, and take systems from experiment to monitored, production-grade services clinicians rely on at scale. You won't do all of this at once, but over time you'll touch most of it.\n\nWhat we're looking for :\n\n- Bachelor's in Computer Science, Engineering, or a related field.\n\n- 3+ years in AI/ML, with a focus on applied and Generative AI systems.\n\n- Strong hands-on experience with LLMs, prompt engineering, and structured outputs.\n\n- Hands-on with speech-to-text and audio-processing pipelines.\n\n- Proficient in Python (pandas, NumPy, ML/AI libraries) and SQL.\n\n- Familiar with cloud AI services, preferably AWS (S3, SageMaker, Bedrock).\n\n- Understanding of LLMOps / MLOps: evaluation, monitoring, deployment, and iteration.\n\n- Proven experience shipping production-grade AI systems at scale.\n\n- Strong ownership, clear communication, and independence in a fast-paced environment.\n\nGood to have :\n\n- Parameter-efficient fine-tuning (LoRA, PEFT, SFT) and tools such as Hugging Face Transformers, PEFT, TRL, Axolotl, or Unsloth.\n\n- RLHF, DPO, or other preference-alignment methods.\n\n- Information extraction / NER, and experience with clinical or biomedical ontologies.\n\n- End-to-end GenAI workflows (LangChain, LlamaIndex, RAG), embeddings, vector databases, and retrieval.\n\n- Agentic systems, tool use, and function calling in production.\n\n- Model quantization, distillation, or inference optimization; distributed / multi-GPU training.\n\n- Real-time / streaming inference and low-latency serving.\n\n- Healthcare, clinical, or other regulated-data experience.\nSkills\nArtificial Intelligence, Healthcare EcoSystem, LLM, Clinical Data Management, Prompt Engineering, Python, SQL, Audio Processing","description_format":"text","description_chars":3650,"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":["Medical AI","EHR & Clinical Software"],"lifecycle":[{"event":"open","at":"2026-10-17T03:17:59Z"}],"visa":[],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.769,"p_room":0.55,"age_days":21,"expected_fill_days":21,"reasons":["seen:21","velocity","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/mesitus-applied-ai-engineer-2","json_url":"https://alion.io/job/mesitus-applied-ai-engineer-2.json","meta":{"generated_at":"2026-10-18T00:26:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":820,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3800210},"rest":"https://alion.io/mcp/rest/get_company?id=3800210"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmesitus-applied-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmesitus-applied-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmesitus-applied-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mesitus-applied-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmesitus-applied-ai-engineer-2"}]}