{"id":154737,"url":"https://alion.io/job/dentsu-aegis-network-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":137,"ghost_share":0.007,"stale_share":0.81,"repost_share":0.022,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"RLAIF","optional":false},{"name":"RLHF","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-07-08T00:00:00Z","employer_posted_date":"2026-07-08","last_verified_at":"2026-10-24T06:05:20Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Job Description:\nAI Lead Engineer\nRole Overview\nWe are seeking a Lead Generative AI Engineer with strong foundations in deep learning, transformer architecture, and practical experience building GenAI applications beyond basic RAG systems. The ideal candidate has hands-on experience/technical familiarity with LLM fine-tuning, multimodal models, retrieval systems, agentic frameworks, retrieval architectures, and production-grade ML deployment.\nThis role will partner with engineering, data science, and CX teams to build intelligent agents, multimodal experiences, personalization systems, and knowledge-grounded AI solutions that power the future of customer engagement for global brands.\nKey Responsibilities\nGenerative AI, Multimodal Systems & Agentic Frameworks\nBuild conversational and non-conversational, multimodal, and agentic AI applications using LLMs and frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or similar.\nDesign AI workflows incorporating reasoning, planning, tool-use, memory, grounding, and external system integrations.\nDevelop Knowledge Graph (KG)-assisted AI systems, including entity extraction, linking, and KG-augmented retrieval.\nEnsure safety, consistency, and hallucination-control through structured evaluation and guardrails.\nDeployment, APIs & Cloud Engineering\nTransform models into scalable APIs and microservices using Python, FastAPI/Flask, Docker.\nDeploy and monitor ML/AI systems in AWS/Azure/GCP, optimizing for cost, latency, and reliability.\nCollaborate with MLOps teams on CI/CD pipelines, model versioning, monitoring, and automated evaluation.\nWork with big data technologies including Apache Spark, Hadoop, and NoSQL databases such as MongoDB.\nModel Development & Applied AI Engineering\nBuild and optimize transformer-based and multimodal models using deep learning frameworks (e.g., PyTorch, TensorFlow).\nImplement fine-tuning, alignment (RLHF/RLAIF), LoRA/QLoRA, pruning, and model evaluation pipelines.\nDevelop information retrieval systems, including hybrid dense-sparse retrieval, ranking, knowledge graphs, and relevance optimization.\nBuild predictive models and ML pipelines from scratch, including data preparation, feature engineering, and model selection.\nCollaboration, Documentation & Mentorship\nWork cross-functionally with CX, engineering, and product stakeholders to translate business needs into AI solutions.\nDocument models, experiments, evaluation frameworks, and deployment processes.\nMentor junior engineers and contribute to internal best practices, reusable components, and R&D initiatives.\nRequired Technical Skills\n Programming: Python (advanced), SQL; robust experience with API development and data engineering,\nBackend Frameworks: Flask, FASTAPI, Django\nMachine Learning: Predictive modelling, deep learning, optimization, embeddings, vector search, model evaluation.\nGenerative AI: LLMs, RAG, multimodal architectures, agents, prompt engineering, grounding, knowledge graphs.\nCloud Platforms: AWS, Azure, or GCP with hands-on experience deploying and scaling AI systems.\nData Technologies: Apache Spark, Hadoop, MongoDB; strong understanding of data pipelines and large-scale processing.\nMath Foundations: Linear algebra, probability, statistics.\nExperience Requirements\nMinimum 5-6 years of hands-on software development experience including building and deploying machine learning models into production.\n2+ years of experience working with deep learning, GenAI, or transformer-based architectures.\nDemonstrated experience building GenAI applications beyond simple RAG (e.g., agents, multimodal, custom LLM fine-tuning).\nExperience integrating AI systems in enterprise-grade environments.\nSkill Category\nLead AI Engineer\nTransformers & Deep Learning\nApplies LoRA/QLoRA, distillation, debugging, optimization.\nGenerative AI (LLMs & Multimodal)\nBuilds tool-using pipelines, multilingual/multimodal flows.\nInformation Retrieval & Relevance\nImplements hybrid retrieval + ranking, KG-enhanced semantic retrieval\nPredictive Modeling\nBuilds and tunes end-to-end ML pipelines.\nKnowledge Graphs\nBuilds KG pipelines (entity linking, embeddings).\nConversational AI\nMulti-turn, multilingual dialogue systems with evaluation metrics.\nAgentic Frameworks\nMulti-step agent workflows with planning & memory.\nModel Deployment\nScales services with CI/CD, monitoring, GPU/accelerator ops.\nCloud & MLOps\nEnd-to-end model lifecycle automation.\nBig Data & Pipelines\nUses Spark/Hadoop/MongoDB effectively.\nDeep Learning\nUnderstand and applied deep learning architectures - RNNs, LSTMs, Transformers\nAttitude & Mindset\nGrowth-oriented, collaborative, and experimentation-driven.\nStrong problem-solving skills with a bias toward action.\nAbility to communicate complex concepts clearly to non-technical stakeholders.\nOpen and flexible towards a hybrid work structure with no less than 2-days work from office - This is to ensure that the team working in the AI domain regularly connects and does knowledge exchange across projects\nLocation:\nDGS India - Pune - Baner M- AgileBrand:\nMerkleTime Type:\nFull timeContract Type:\nPermanent","description_format":"text","description_chars":5100,"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":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-07-08T00:00:00Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.338,"p_room":0.28,"age_days":109,"expected_fill_days":29,"reasons":["conf:23","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/dentsu-aegis-network-lead-ai-engineer","json_url":"https://alion.io/job/dentsu-aegis-network-lead-ai-engineer.json","meta":{"generated_at":"2026-10-25T23:43:57Z","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":33554,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":888},"rest":"https://alion.io/mcp/rest/get_company?id=888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdentsu-aegis-network-lead-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%2Fdentsu-aegis-network-lead-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%2Fdentsu-aegis-network-lead-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/dentsu-aegis-network-lead-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdentsu-aegis-network-lead-ai-engineer"}]}