{"id":1026302,"url":"https://alion.io/job/transient-ai-senior-ai-ml-engineer-2","title":"Senior AI / ML Engineer","company":{"id":2060,"name":"Transient AI","domain":"transient.ai","url":"https://alion.io/company/transient-ai","size_band":"51-200","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":["Coimbatore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-18T11:44:26Z","employer_posted_date":null,"last_verified_at":"2026-09-18T11:44:26Z","board_verified":false,"closed_at":null,"days_open":54,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":54},"description":"We are looking for an AI/ML Engineer to join our R& D/lab function and help turn emerging AI capabilities into real, marketable products. This role sits between AI research and product engineering. You will have room to investigate new models, agent architectures, evaluation techniques, reasoning approaches, and emerging AI technologies, but the goal isn't to build technology simply because it is interesting. We are looking for someone who can answer: Is this technology useful enough to become a product, and can we actually productionize it?\nResponsibilities:\nResearch and evaluate emerging AI/ML technologies relevant to financial services.\nPrototype new approaches quickly and determine their practical value.\nWork with the product and engineering teams to turn promising research into production capabilities.\nExperiment with LLMs and reasoning models, agent architectures, RAG and retrieval, agent evaluation, model routing, fine-tuning and model adaptation, context engineering, AI observability, cost/latency optimization, and multimodal AI.\nAI safety and guardrails: Benchmark models and approaches using measurable evaluation criteria.\nBuild proof-of-concepts that can evolve into production features.\nDevelop reusable AI capabilities rather than one-off demos.\nWork with real financial-services use cases and customer problems.\nPartner with engineering to productionize successful experiments.\nHelp define technical differentiation for our AI platform.\nStay current on the rapidly evolving AI ecosystem and identify technologies worth adopting.\nClearly communicate the business/product implications of research findings.\nRequirements:\n3-7 years of experience in ML/AI/software engineering, depending on seniority.\nStrong Python skills and solid software-engineering fundamentals. - Practical experience with LLMs and modern AI/ML systems.\nExperience with frameworks such as PyTorch, Hugging Face, LangChain/LangGraph, or equivalent.\nUnderstanding of model evaluation and experimentation.\nAbility to build prototypes quickly but cleanly enough to transition into production.\nStrong analytical and problem-solving skills.\nAbility to read and understand research papers and translate relevant ideas into implementations.\nStrong communication and collaboration skills.\nParticularly Valuable:\nExperience with financial services or enterprise AI.\nAgentic AI experience.\nLLM evaluation/evals.\nExperience with production ML/AI infrastructure.\nUnderstanding of AI security, governance, explainability, and compliance.\nExperience taking an AI research idea from a paper prototype to product.\nThe profile we're looking for:\nResearch curiosity + engineering discipline + product judgment.\nWe don't want someone chasing every shiny new AI technology. 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