{"id":2190212,"url":"https://alion.io/job/credit-saison-sr-ai-engineer","title":"Sr. AI Engineer","company":{"id":841,"name":"Credit Saison","domain":"creditsaison.in","url":"https://alion.io/company/credit-saison","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":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-09T17:40:22Z","employer_posted_date":null,"last_verified_at":"2026-10-09T17:40:22Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a Senior/Lead AI Engineer to build and scale production-grade AI systems across Credit Saison India. This is a highly hands-on role for someone who can work at the intersection of LLMs, generative AI, retrieval systems, multimodal AI, agentic workflows, and ML engineering, taking problems from experimentation and architecture through production deployment and optimization. You will work closely with product, engineering, data science, and business teams to build AI capabilities that can operate reliably at enterprise scale.\nResponsibilities:\nDesign and build enterprise-scale Generative AI solutions across LLMs, multimodal systems, and agentic AI.\nOwn the technical roadmap for key AI problem areas from experimentation and prototyping to production deployment.\nBuild production applications using leading foundation models such as GPT, Claude, Llama, Mistral, and other open-source/commercial models.\nDesign robust RAG and enterprise retrieval platforms, including document ingestion and chunking, embedding strategies, semantic and hybrid retrieval, reranking, vector databases, retrieval evaluation, and optimization.\nBuild and fine-tune LLMs using techniques such as LoRA, PEFT, and parameter-efficient fine-tuning.\nDevelop agentic AI workflows capable of reasoning, tool usage, API integration, orchestration, and multi-step execution.\nBuild multimodal AI systems combining text, image, document, audio, or other enterprise data sources.\nDefine frameworks for model evaluation, quality benchmarking, hallucination detection, observability, and production monitoring.\nOptimize AI systems for latency, throughput, accuracy, reliability, and inference cost.\nDesign scalable ML/LLM deployment pipelines using cloud-native and containerized environments.\nEstablish engineering standards around experimentation, evaluation, security, governance, monitoring, and production readiness.\nMentor engineers and provide technical leadership across AI initiatives.\nTranslate complex AI capabilities into measurable business outcomes for technical and non-technical stakeholders.\nRequirements:\n5+ years of strong AI/ML engineering experience, with meaningful experience deploying AI/ML systems into production.\nStrong hands-on experience building LLM / generative AI applications.\nStrong programming expertise in Python and SQL.\nHands-on experience with PyTorch / TensorFlow and modern ML/AI frameworks.\nExperience with Hugging Face Transformers and the modern LLM ecosystem.\nStrong understanding of LLM fine-tuning, including LoRA / PEFT.\nProduction experience building RAG/enterprise retrieval systems.\nStrong understanding of embeddings, semantic search, vector retrieval, reranking, prompt engineering, and context optimization.\nExperience with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or equivalent.\nExperience with orchestration frameworks such as LangChain, LlamaIndex, or similar frameworks.\nExperience deploying AI workloads on AWS, GCP, or Azure.\nStrong understanding of Docker, Kubernetes, CI/CD, and ML deployment practices.\nExperience with model evaluation, observability, and monitoring using tools such as MLflow, Weights and Biases, LangSmith, or equivalent.\nStrong problem-solving ability and experience taking AI systems from POC production scale.\nStrong Plus:\nExperience building agentic AI systems, tool-calling workflows, or multi-agent architectures.\nExperience with multimodal models.\nExperience designing enterprise-scale retrieval platforms.\nUnderstanding of model serving, inference optimization, and GPU workloads.\nExperience defining AI governance, auditability, security, and responsible-AI controls.\nStrong foundation across traditional machine learning, NLP, and deep learning.\nExperience mentoring engineers or leading technically complex AI initiatives.","description_format":"text","description_chars":3821,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Financial Software & Embedded Finance","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-10-09T17:40:22Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":22,"reasons":["seen:3","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/credit-saison-sr-ai-engineer","json_url":"https://alion.io/job/credit-saison-sr-ai-engineer.json","meta":{"generated_at":"2026-10-13T11:52:04Z","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 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