{"id":3998765,"url":"https://alion.io/job/repligen-ai-engineer-i","title":"AI Engineer I","company":{"id":8953,"name":"Repligen","domain":"repligen.com","url":"https://alion.io/company/repligen","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot Studio","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T02:36:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job SummaryMake a global impact-join Repligen.\nWe’re united by a mission to inspire advances in bioprocessing as a preferred partner in the production of biologic drugs that improve human health worldwide. No matter your role or background, at Repligen, you will play a key part in shaping some of the most innovative and life-changing therapies in the world. We foster a culture of purpose, collaboration, and shared success-where every voice matters and every contribution drives progress. Join us!\nRole Overview\nWe are seeking a unique individual with a passion for AI technology who can help to drive forward enterprise-wide scale AI adoption. Repligen is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission.\nAs an AI Engineer, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for the Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Repligen’s enterprise platform for data & AI. This is a critical role for a highly skilled AI engineer who is passionate about building innovative solutions. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will be at the heart of our AI initiatives, ensuring that we maintain engineering excellence while delivering impactful products.\nKey Responsibilities\nBuild and orchestrate multi-agent AI systems using state-of-the-art platforms, enabling agents to collaborate on task planning, data retrieval, and execution across complex business workflows.\nImplement and continuously refine prompt engineering strategies, including prompt chaining, evaluation, and guardrails to improve accuracy and reliability\nBuild and maintain RAG (Retrieval-Augmented Generation) pipelines, including Data ingestion and indexing, Embedding generation, Retrieval optimization & Response grounding and validation\nDevelopment of scalable backend services using Python frameworks for data processing\nDesign and manage embedding pipelines and vector search infrastructure using tools such as Pinecone, FAISS, Weaviate, Databricks or Snowflake\nIntegrate LLM capabilities from platforms like OpenAI, Anthropic, and Microsoft into enterprise applications\nBuild and maintain scalable APIs and microservices to expose AI capabilities across systems and applications\nCollaborate with data engineering and platform teams to ensure reliable data pipelines and access to high-quality data sources\nDeploy, monitor, and optimize AI solutions in cloud environments (Azure, AWS, GCP), ensuring performance, scalability, and cost efficiency\nImplement evaluation frameworks and monitoring for LLM outputs, including quality metrics, drift detection, and feedback loops\nTroubleshoot and resolve issues in distributed AI systems, ensuring high availability and reliability\nPartner with business stakeholders to translate requirements into AI-driven solutions and automation opportunities\nDocument architecture, design decisions, and best practices to support scalability and team adoption\nRequired Qualifications\nBachelor’s degree in computer science, Statistics, Data Science, Information Systems or related field\n3+ years of experience with AI technologies, particularly GenAI, LLM, Agentic AI, or MLOps, and delivering enterprise-scale, production-grade solutions\nHands-on experience in building agentic AI systems, including multi-agent workflows, orchestration, and tool integration using frameworks such as AutoGen or CrewAI and failure handling\nExperience deploying and scaling AI solutions on platforms including Azure AI Foundry, Copilot Studio, or Google Vertex AI\nHands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.\nExpertise in Generative AI and LLM application development using OpenAI and Anthropic APIs, including:Advanced prompt engineering and optimization techniques\nDesign and implementation of Retrieval-Augmented Generation (RAG) architectures\nEmbeddings, semantic search, and contextual retrieval strategies\nExperience with vector databases such as Pinecone, FAISS, Weaviate or AI data cloud platform such as Databricks or Snowflake\n\nStrong background in API development, microservices architecture, and distributed systems, enabling scalable AI solution deployment\nExperience with knowledge graphs, graph databases, or hybrid retrieval systems to enhance contextual reasoning and data relationships\nProficiency in Python programming\nExperience deploying using CI/CD, infrastructure as code (Terraform), monitoring, debugging & managing AI/ML solutions in cloud environments AWS, Azure & GCP\nOur mission is to inspire advances in bioprocessing as a trusted partner in the production of biologic drugs that improve human health worldwide. Focused on cost and process efficiencies, we deliver innovative technologies and solutions that help set new standards in bioprocessing. The estimated salary range for this role, based in the United States of America is $130,000-$160,000. Compensation decisions are dependent on several factors including, but not limited to an individual's qualifications, location, internal equity, and alignment with market data. Additionally, employees are eligible to participate in one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits such as paid time off, health/dental/vision, retirement benefits and flexible spending accounts. All compensation and benefits information will be confirmed in writing at the time of offer.","description_format":"text","description_chars":5866,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Bioprocessing"],"lifecycle":[{"event":"open","at":"2026-11-10T02:36:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":5,"green_card_filings_12m":0,"median_offered_wage_usd":137500,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":48,"reasons":["conf:1","win:early","comp:junior"],"computed_at":"2026-11-10T04:18:30Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/repligen-ai-engineer-i","json_url":"https://alion.io/job/repligen-ai-engineer-i.json","meta":{"generated_at":"2026-11-10T04:18:30Z","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":10057,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":8953},"rest":"https://alion.io/mcp/rest/get_company?id=8953"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frepligen-ai-engineer-i"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Frepligen-ai-engineer-i"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Frepligen-ai-engineer-i"},{"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/repligen-ai-engineer-i\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frepligen-ai-engineer-i"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3998765}},{"tool":"search_jobs","arguments":{"company":"repligen.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3998765},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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