{"id":3745714,"url":"https://alion.io/job/cognizant-aiml-engineer-5","title":"AI/ML Engineer","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":87,"open_postings":179,"ghost_share":0,"stale_share":0.486,"repost_share":0.056,"time_to_fill_p50_days":23,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"LLMOps","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-04T03:22:43Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T13:02:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"AI/ML Engineer\nOverview\nWe are seeking an AI/ML Engineer to design, build, and operationalize AI solutions across RAG, Agentic AI, Knowledge Graphs, and Machine Learning. This is a hands-on role covering experimentation, backend development, deployment, evaluation, and production support.\nKey Responsibilities\nDevelop and deploy RAG and Agentic AI solutions from prototype to production.\nBuild AI workflows using Python, LangChain, LangGraph, or similar frameworks.\nDevelop backend services and APIs using FastAPI, REST APIs, and Docker.\nCreate retrieval pipelines including ingestion, embeddings, indexing, retrieval, reranking, and grounding.\nSupport GraphRAG and knowledge graph use cases.\nBuild and maintain AI/data pipelines using Databricks.\nIntegrate solutions with Azure services, security, monitoring, and enterprise systems.\nEvaluate solution quality using retrieval metrics, RAG evaluation frameworks, and human review.\nCollaborate with engineering, product, and business teams to deliver production-ready solutions.\nRequired Qualifications\nExperience in AI, ML, software, or data engineering.\nStrong Python programming skills and experience building production APIs.\nHands-on experience with RAG, LLM applications, or Agentic AI workflows.\nExperience with FastAPI, REST APIs, Docker, Git, Azure DevOps, and CI/CD.\nExperience deploying applications on Microsoft Azure.\nFamiliarity with Databricks, SQL, data pipelines, and Python ML libraries.\nUnderstanding of authentication, RBAC, secrets management, logging, and monitoring.\nExperience evaluating AI systems using RAGAS, retrieval metrics, or similar frameworks.\nStrong communication, collaboration, and problem-solving skills.\nNice to Have\nExperience with GraphRAG, knowledge graphs, and vector databases.\nAzure OpenAI and AI platform experience.\nKnowledge of MLOps, LLMOps, and AI observability 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