{"id":1272609,"url":"https://alion.io/job/vbeyond-corporation-genai-engineer","title":"GenAI Engineer","company":{"id":3801626,"name":"VBeyond Corporation","domain":"vbeyondapac.com","url":"https://alion.io/company/vbeyond-corporation","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":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"LangSmith","optional":true},{"name":"MLFlow","optional":true},{"name":"TruLens","optional":true}],"status":"live","first_seen_at":"2026-09-01T07:19:49Z","employer_posted_date":null,"last_verified_at":"2026-09-01T07:19:49Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"Role : Data Scientist AI & Generative AI\n\nJob Overview : \n\nWe are looking for a Data Scientist to build and deploy AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.\n\nThe role involves working with Python, SQL, LLMs, RAG, and Agentic AI to develop production-ready AI applications and workflows.\n\nKey Responsibilities : \n\n- Develop and deploy AI and Generative AI solutions.\n\n- Build AI applications, workflows, and data pipelines using Python and SQL.\n\n- Work with structured and unstructured data for AI/ML use cases.\n\n- Apply prompt engineering and evaluate LLM outputs for quality and accuracy.\n\n- Develop RAG pipelines and integrate Agentic AI frameworks.\n\n- Implement AI monitoring, observability, and MLOps practices.\n\n- Work with business and technical teams to understand requirements and deliver practical solutions.\n\n- Present findings, recommendations, and results clearly to stakeholders.\n\nMinimum Qualifications : \n\n- Masters degree / postgraduate degree in STEM such as : \n\n1. Data Science\n\n2. Statistics\n\n3. Computer Science\n\n4. Engineering\n\n5. Operations Research\n\n6. Artificial Intelligence\n\n7. 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