{"id":2439062,"url":"https://alion.io/job/pubmatic-seniorsoftware-engineer-ai-powered-advertising-agents","title":"Senior/Software Engineer (AI-Powered Advertising Agents)","company":{"id":5112,"name":"PubMatic","domain":"pubmatic.com","url":"https://alion.io/company/pubmatic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-06-10T10:04:23Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-19T07:32:47Z","board_verified":true,"closed_at":null,"days_open":131,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":130},"description":"About the Role \nPubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. \nWhat You'll Do:\nProvide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. \nLead the design, development, and deployment of AI-driven features. Drive end-to-end ownership-from feasibility analysis and design specifications to execution and release-while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. \nSpearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. \nEnsure that the solutions are aligned with long-term product strategy and technical roadmaps. \nImplement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. \nDevelop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. \nDesign, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. \nCreate sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses. \nUtilize evaluation frameworks and metrics (e.g., Evals) to assess and improve the performance of generative models and AI systems. \nWork with data scientists, engineers, and product teams to integrate AI-driven capabilities into customer-facing products and internal tools. \nStay up to date with the latest research and trends in LLMs, RAG, and generative AI technologies to drive innovation in the company’s offerings. \nContinuously monitor and optimize models to improve their performance, scalability, and cost efficiency.\nWe'd Love for You to Have:\n\n2 to 5 years of total experience and strong understanding of LLMs and their underlying principles - transformer architecture, attention mechanisms, and hyperparameter tuning.\nProven experience designing and building AI agents, including multi-agent orchestration, tool-use patterns, multi-step planning, and agent memory architectures (short-term and long-term).\nHands-on experience with agentic frameworks such as LangGraph, CrewAI, or AutoGen, and familiarity with RAG pipelines that integrate external knowledge sources (documents, databases, APIs).\nIn-depth knowledge of vector databases and indexing algorithms; practical experience with FAISS, Pinecone, Weaviate, or Milvus.\nExperience with agent observability, tracing, and guardrails - tools like Langfuse or equivalent - to ensure reliability, safety, and debuggability of agentic systems.\nProficiency in prompt engineering - crafting, iterating, and optimizing complex prompts for context-sensitive, domain-specific LLM outputs.\nFamiliarity with Evals and other performance evaluation tools for measuring model quality, relevance, and efficiency. \nProficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. \nExperience with data preprocessing, vectorization, and handling large-scale datasets. \nAbility to present complex technical ideas and results to both technical and non-technical stakeholders. \nNice-to-Have:\nExperience in building AI agents using graph-based architectures, including knowledge graph embeddings and graph neural networks (GNNs). \nExperience with training small base models using custom data, including data collection, pre-processing, and fine-tuning models to specific domains or tasks. \nFamiliarity with deploying AI models on cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). \nFamiliarity with programmatic advertising, RTB, or ad auction mechanics.\nKnowledge of MCP (Model Context Protocol) or similar tool-integration standards\nPublication or contributions to research in AI, LLMs, or related fields.\nQualification:\nShould have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. \nAdditional Information:\nReturn to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.\nBenefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!.\nDiversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status\nAbout PubMatic\nPubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.\nFounded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.","description_format":"text","description_chars":6148,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising"],"lifecycle":[{"event":"open","at":"2026-10-13T11:34:44Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.23,"p_room":0.28,"age_days":130,"expected_fill_days":28,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/pubmatic-seniorsoftware-engineer-ai-powered-advertising-agents","json_url":"https://alion.io/job/pubmatic-seniorsoftware-engineer-ai-powered-advertising-agents.json","meta":{"generated_at":"2026-10-19T10:56:15Z","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":7786,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":5112},"rest":"https://alion.io/mcp/rest/get_company?id=5112"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpubmatic-seniorsoftware-engineer-ai-powered-advertising-agents"},{"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%2Fpubmatic-seniorsoftware-engineer-ai-powered-advertising-agents"},{"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%2Fpubmatic-seniorsoftware-engineer-ai-powered-advertising-agents"},{"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/pubmatic-seniorsoftware-engineer-ai-powered-advertising-agents\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpubmatic-seniorsoftware-engineer-ai-powered-advertising-agents"}]}