{"id":1618123,"url":"https://alion.io/job/accuris-data-genai-engineer","title":"Data & GenAI Engineer","company":{"id":11708,"name":"Accuris","domain":"accuristech.com","url":"https://alion.io/company/accuris","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Hallucination","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-06-17T20:30:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-07T01:10:49Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":110},"description":"Senior Associate 1 – Data & GenAI Engineer\nLocation: Bangalore, IN\nExperience: 3–5 years relevant industry experience\n\nWhy Work for Accuris\nAccuris works on high-value, real-world data problems where reliability and correctness matter. You’ll build production-grade data and GenAI systems that power decision-support products used by global customers. This is not experimental AI — this is measurable, grounded, and scalable AI backed by robust data engineering.\n\nRole Summary\nYou will design and own data pipelines and GenAI-driven services that transform messy enterprise data into high-quality datasets and production-ready product capabilities.\nThis role requires strong data engineering depth, with the ability to build and integrate backend APIs and contribute to frontend integrations when needed. You will work across data, application, and AI layers to ship scalable systems end-to-end.\n\nWhat You’ll Do\nData Engineering\nDesign and own ETL/ELT pipelines (batch and streaming where required).\nDrive Medallion architecture design (Bronze, Silver, Gold) with clear data contracts and quality checks.\nBuild scalable transformations using Spark/Databricks with performance tuning. Implement data validation frameworks, monitoring, lineage, and observability.\nHandle schema evolution, incremental loads, idempotency, and orchestration patterns. Collaborate with content and application teams to define reliable data models.\nGenAI Engineering\nDesign and improve production RAG systems: ingestion, chunking strategy, embedding pipelines, indexing, retrieval optimization.\nWork with vector search systems: filtering, hybrid search, ranking improvements. Optimize prompt templates for grounding, structured outputs, and cost efficiency. Define evaluation metrics for retrieval quality, hallucination reduction, and latency. Contribute to architecture decisions around AI services and integration patterns.\n\nBackend s Full-Stack Contributions\nDesign and implement backend APIs (FastAPI or similar frameworks). Build microservices to expose data products and AI capabilities.\nIntegrate APIs with frontend applications (basic Angular/JS understanding preferred). Work with authentication, API gateways, and service orchestration patterns.\nCollaborate with frontend teams to ensure data contracts and performance alignment.\n\nMust Have\n3–5 years’ experience in Data Engineering / Backend Engineering. Strong Python and advanced SQL skills.\nHands-on Spark/Databricks experience with performance optimization.\nDeep understanding of Medallion architecture and production data systems. Experience building reliable data pipelines with testing and monitoring.\nPractical understanding of LLMs, RAG systems, embeddings, vector search. Experience building and deploying REST APIs.\nUnderstanding of system design basics (scalability, reliability, trade-offs).\n\nNice to Have\nFrontend exposure (React/Angular or similar).\nExperience with API gateways and microservices architecture. Experience with CI/CD pipelines and containerization (Docker). Experience with evaluation frameworks for GenAI systems.\nKnowledge of cost optimization in cloud-based data platforms.\n\nTech Stack\nPython, SQL, Spark/Databricks, Delta Lake, orchestration tools, REST APIs (FastAPI), vector search systems, LLM APIs, Git, CI/CD, monitoring/logging, basic frontend frameworks.\n\nSuccess Looks Like\nYou independently design and ship production-grade pipelines.\nYou improve RAG quality through measurable retrieval and prompt improvements. You build backend services that are scalable, observable, and secure.\nYou reduce data defects through better modeling and validation practices.\nYou proactively identify foundational gaps and address them before feature work scales.\n\nExperience That Stands Out\nBuilt and maintained a multi-layer medallion architecture at scale.\nDesigned and deployed a production RAG system with measurable evaluation. Built backend APIs serving AI/data features consumed by frontend apps.\nImproved system performance through Spark optimization or query tuning. Contributed to cross-team architectural improvements.","description_format":"text","description_chars":4094,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities","Manufacturing","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-10-01T20:38:35Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.372,"p_room":0.28,"age_days":110,"expected_fill_days":30,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/accuris-data-genai-engineer","json_url":"https://alion.io/job/accuris-data-genai-engineer.json","meta":{"generated_at":"2026-10-07T02:03:09Z","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","counted_by":"address","units_charged":1,"used_today":3342,"day_limit":5000,"remaining_today":1658,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"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":11708},"rest":"https://alion.io/mcp/rest/get_company?id=11708"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faccuris-data-genai-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%2Faccuris-data-genai-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%2Faccuris-data-genai-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/accuris-data-genai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faccuris-data-genai-engineer"}]}