{"id":144085,"url":"https://alion.io/job/neosapien-ai-engineer","title":"AI Engineer","company":{"id":53212,"name":"Neosapien","domain":"neosapien.ai","url":"https://alion.io/company/neosapien","size_band":"11-50","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":23000,"max_usd":53000,"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":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"Whisper","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-08-28T03:43:57Z","employer_posted_date":null,"last_verified_at":"2026-08-28T03:43:57Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"You will own AI systems end-to-end, from the speech-to-text models that turn audio into text, to the diarization layer that separates speakers, to the agentic layer that converts conversation into memory and action, to the observability and evaluation infrastructure that keeps all of it honest in production. This is a wide role by design. You own model selection, serving, and production reliability. If you want to fine-tune one model and ignore the system around it, this is not the role.\nThe candidate will have responsibilities across the following functions:\nWhat You Will OwnSpeech-to-Text:\nEvaluate, integrate, and optimise STT models across cloud and self-hosted options.\nDrive accuracy and cost trade-offs grounded in ground-truth WER metrics.\nOwn Whisper fine-tuning, Indic normalisation, and domain-specific adaptation.\nSpeaker Diarization and Identification:\nPush DER accuracy on hard, real-world multi-speaker audio.\nOwn diarization pipeline from pyannote integration to production serving.\nBuild labelled benchmark datasets reflecting real conversational audio.\nAgentic AI:\nBuild the memory and retrieval pipeline that sits on top of captured conversation.\nDesign and own LLM orchestration using LangGraph or equivalent frameworks.\nShip agent workflows that convert transcript output into structured memory and action.\nModel Serving and Infrastructure:\nStand up and optimise self-hosted model serving: vLLM, Triton, or equivalent.\nOwn latency, throughput, and cost-per-user targets in production.\nNo API-only serving; you run the infra.\nObservability:\nInstrument the full audio-to-memory pipeline: STT, diarization, retrieval, and LLM calls.\nDefine and track model-quality SLOs: transcription drift, DER over time, retrieval relevance, latency.\nBuild dashboards and alerting so model degradation is caught before users feel it.\nTrace failures across a distributed, always-on system using metrics, logs, and traces.\nClose the loop: production signals feed back into evaluation and model selection.\nEvaluation:\nBuild and own ground-truth eval harnesses for every model in the stack.\nMeasure with real metrics: WER for transcription, DER for diarization, Recall and F1 for retrieval.\nRun regression and A/B evaluations on every model swap, prompt change, or pipeline update.\nNothing ships on a vibe; reject anecdotal proxies and cherry-picked examples as evidence of quality.\nRequirements:\n3 to 5 years as an AI/ML engineer with production systems behind you.\nAgentic AI in production: LangGraph, multi-agent pipelines, tool-calling, memory systems.\nSelf-hosted model serving vLLM, Triton, or equivalent; not just API calls.\nLLM gateway and orchestration patterns you have designed and shipped.\nStrong software engineering: you write code that survives contact with real users.\nFluency in Python and the production ML ecosystem.\nObservability and evaluation discipline: you measure first and trust metrics over intuition.\nTier-1 college background: IIT / NIT / BITS / IISc.\nStrong Signal (Not Required):\nExtracurricular academic spike: Olympiad rankings, ICPC, KVPY, Kaggle Expert/Master.\nAudio and speech ML experience: STT, diarization, voice pipelines.\nResearch background or publications in ML, NLP, or speech.\nExperience building eval harnesses or production model-monitoring systems.\nGCP and Kubernetes comfort.","description_format":"text","description_chars":3330,"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":["Personal Development","Smartwatches & Fitness Trackers"],"lifecycle":[{"event":"open","at":"2026-08-28T03:43:57Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.391,"p_room":0.45,"age_days":50,"expected_fill_days":30,"reasons":["seen:50","velocity","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/neosapien-ai-engineer","json_url":"https://alion.io/job/neosapien-ai-engineer.json","meta":{"generated_at":"2026-10-18T09:52:24Z","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":14577,"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":53212},"rest":"https://alion.io/mcp/rest/get_company?id=53212"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneosapien-ai-engineer"},{"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%2Fneosapien-ai-engineer"},{"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%2Fneosapien-ai-engineer"},{"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/neosapien-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneosapien-ai-engineer"}]}