{"id":1955546,"url":"https://alion.io/job/recro-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":3801220,"name":"Recro","domain":"recro.io","url":"https://alion.io/company/recro-4","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":"senior","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":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"Machine Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"Speech Recognition","optional":true}],"status":"live","first_seen_at":"2026-10-06T10:35:57Z","employer_posted_date":null,"last_verified_at":"2026-10-06T10:35:57Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role : AI Engineer - Agentic AI & Production ML.\n\nExperience : 4 - 7 Years.\n\nEducation : Only IIT OR NIT OR BITS.\n\nRole Overview : \n\nWe are looking for an AI Engineer to build and own production - grade AI systems end - to - end - from LLM applications and agentic workflows to model serving, evaluation, and monitoring.\n\nThe role requires strong hands - on experience in Agentic AI, LLM orchestration, self - hosted models, and production ML engineering.\n\nResponsibilities : \n\nAgentic AI & LLM Systems (Must Have) : \n\n- Build AI agents, LLM workflows, and orchestration systems.\n\n- Develop RAG pipelines, memory systems, and retrieval workflows.\n\n- Work with LLM gateways and agent frameworks.\n\n- Improve reliability and performance of LLM applications.\n\nModel Serving & Infrastructure (Must Have) : \n\n- Deploy and optimize self - hosted AI models.\n\n- Experience with vLLM / Triton or similar serving frameworks.\n\n- Optimize latency, scalability, and inference cost.\n\n- Work with Docker, Kubernetes, and cloud infrastructure.\n\nAI Engineering : \n\n- Build production AI systems using Python.\n\n- Work with PyTorch, Hugging Face, Transformers, and vector databases.\n\n- Own AI lifecycle : development - deployment - monitoring - improvement.\n\nEvaluation & Observability : \n\n- Build evaluation frameworks and benchmark datasets.\n\n- Track AI quality, latency, cost, and reliability metrics.\n\n- Set up monitoring, dashboards, and alerts for production AI systems.\n\nSpeech AI (Good to Have) : \n\n- Experience with STT, ASR, speaker diarization, or voice AI systems.\n\nRequired Skills : \n\nMust Have : \n\n- Agentic AI.\n\n- LLM / Generative AI.\n\n- LLM Orchestration.\n\n- LLM Gateway.\n\n- RAG.\n\n- Vector Databases.\n\n- Self - hosted Models.\n\n- vLLM / Triton.\n\n- Python.\n\n- PyTorch.\n\n- Hugging Face.\n\n- Kubernetes.\n\n- MLOps.\n\nGood to Have : \n\n- Speech AI / STT.\n\n- RLHF.\n\n- Reinforcement Learning.\n\n- AI Evaluation.\n\n- Open - source AI contributions.\n\nIdeal Candidate Profile : \n\n- Has shipped AI products into production.\n\n- Strong understanding of LLM systems and AI architecture.\n\n- Can own complete AI systems, not just model tuning.\n\n- Demonstrates strong engineering fundamentals and problem - 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