{"id":1310758,"url":"https://alion.io/job/ehireo-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":3812750,"name":"eHireo","domain":"ehireo.com","url":"https://alion.io/company/ehireo","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","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":29000,"max_usd":75000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"LLMOps","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-26T15:47:00Z","employer_posted_date":null,"last_verified_at":"2026-09-26T15:47:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description :\n\n- Own work end-to-end - design, build, test, ship, monitor, iterate - with production ownership and on-call.\n\n- Write clean, well-tested, maintainable code and clear design docs; apply SOLID and sound API design.\n\n- Treat reliability, latency, cost, and observability as first-class requirements, not afterthoughts.\n\n- Build for a regulated environment: data privacy, access controls, auditability, safe handling of customer data.\n\n- Collaborate across product, data, risk, and platform to turn ambiguous problems into measurable outcomes.\n\nTrack A - Software / Platform Engineer :\n\n- Build and operate model-serving, gateway, and orchestration infra (routing, caching, rate-limiting, fallbacks) for LLM/ML workloads.\n\n- Design data and RAG pipelines - ingestion, chunking, embedding jobs, vector/index stores - that stay fresh and consistent.\n\n- Build guardrails, evaluation harnesses, prompt/version management, and observability (tracing, metrics, cost attribution); harden for scale and failure.\n\n- We look for: production backend/distributed systems in a strong language (Go, Java, Python...); solid concurrency, APIs, databases, queues, and cloud infra; a reliability mindset.\n\n- Deep ML theory not required.\n\nTrack B - ML / Applied-AI Engineer :\n\n- Improve retrieval and RAG quality - chunking, embeddings, re-ranking, grounding - measured against real metrics.\n\n- Build agent and prompt workflows; systematically evaluate models, prompts, and pipelines with offline and online evals.\n\n- Fine-tune, adapt, or distill models where it clearly beats prompting; partner with the platform track to productionize to the same reliability bar.\n\n- We look for: production-quality Python and service ownership (not just notebooks); hands-on LLMs, embeddings/retrieval, and evaluation, plus one of fine-tuning, RAG, or agent frameworks; rigor with data and experiments.\n\nCommon bar & nice-to-haves :\n\n- Strong CS fundamentals (data structures, algorithms, system design) and a track record of shipping in production.\n\n- Clear communication and a bias for reliability and correctness - especially important in fintech.\n\n- Nice to have: fintech / lending / payments or other regulated domains; LLMOps / MLOps tooling, vector DBs, eval frameworks; open-source or AI/ML side projects\nSkills\nAI Integration, LLM, Machine Learning, RAG, Python, Golang, Artificial Intelligence, VectorDB, Open Source","description_format":"text","description_chars":2408,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-26T16:00:11Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":17,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ehireo-ai-platform-engineer","json_url":"https://alion.io/job/ehireo-ai-platform-engineer.json","meta":{"generated_at":"2026-09-28T05:40:19Z","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":3844,"day_limit":5000,"remaining_today":1156,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}