{"id":2704501,"url":"https://alion.io/job/fractal-genai-engineer","title":"GenAI-Engineer","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.953,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Copilot Studio","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GPT-4","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"Langflow","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"n8n","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"smolagents","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T17:13:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\n5-8 years of experience as a Data Scientist with deep expertise in GenAI, NLP/LLM technologies. The candidate should have hands-on experience ML model building as well as training and fine-tuning large language models from the ground up. This role requires a strong technical background in machine learning, deep learning, and practical experience with modern AI frameworks.\n Responsibilities:\nDesign, develop, and implement advanced solutions leveraging Large Language Models (LLMs).\nTake full ownership of initiatives, delivering end-to-end solutions with minimal supervision.\nStay current with the latest advancements in Generative AI, LLMs, RAG systems, and applied research.\nBuild and maintain reusable code libraries, tools, and frameworks to accelerate AI development.\nParticipate in code reviews to ensure high-quality, maintainable, and scalable solutions.\nContribute across the entire software development lifecycle-design, implementation, testing, deployment, and maintenance.\nCollaborate with cross-functional teams to align AI solutions with business goals, integrate contributions into core systems, and influence roadmaps.\nApply strong analytical and problem-solving skills to design efficient solutions for complex business challenges.\nCommunicate effectively across technical and non-technical teams, ensuring transparency and alignment.\nOwn business impact of AI solutions, including adoption, accuracy, latency, and cost efficiency\nTranslate ambiguous business problems into structured AI solution approaches and measurable outcomes\nDrive solution success metrics (e.g., productivity gains, automation %, decision accuracy)\nEngage directly with business and technical stakeholders to understand requirements, present solutions, and influence decision-making\nCommunicate solution architecture and trade-offs clearly to both technical and non-technical audiences\nContribute to client discussions, PoCs, and proposal development.\nDesign scalable, modular, and production-grade AI systems (APIs, pipelines, orchestration layers)\nDefine architecture patterns for LLM applications (RAG pipelines, agentic workflows, hybrid systems)\nMake trade-offs across latency, cost, accuracy, and maintainability\nBuild reusable accelerators, frameworks, and components that can be leveraged across multiple use cases and clients\nContribute to internal IP creation (assets, templates, reference architectures)\nEnsure reliability and robustness of LLM systems through evaluation frameworks, guardrails, and fallback strategies\nDesign safe and responsible AI systems (hallucination mitigation, bias handling, governance)\nOptimize cost-performance trade-offs in large-scale deployments\nIdentify when NOT to use LLMs and propose alternative approaches\nContribute to code reviews, design reviews, and mentorship of junior team members\nDrive quality standards and best practices across projects\nStay ahead of advancements in GenAI and proactively evaluate their applicability to business problems\nContribute to internal knowledge sharing, training, and capability building.\nMust-Have Skills:\n Generative AI & NLP:\nSaaS-based LLMs: LangChain, LlamaIndex, vector databases, prompt engineering (CoT, ReAct, agents), Azure OpenAI function calling, multimodal models.\nOpen-Source and SaaS LLMs: Azure OpenAI, Claude Opus 4.6, GPT-3.5 Turbo, GPT-4, etc.\nAt least one agentic Generative AI framework: CrewAI, AutoGen, LangGraph, n8n, LangFlow, SmolAgents, Semantic Kernel.\nAdvanced Retrieval-Augmented Generation (RAG) systems: hybrid retrieval, knowledge graph-based retrieval, multi-hop RAG, hierarchical/contextual retrieval strategies, evaluation/monitoring of RAG pipelines.\nClassical NLP: text classification, topic modeling, Q&A systems, conversational AI/chatbots, search, Document AI, summarization, content generation, and Named Entity Recognition (NER).\nDatabricks ecosystem: Databricks Genie, Databricks AI/BI, AgentBricks\nMS Copilot Studio and knowledge on no-code/low-code app development.\nMCP server, tools, skills and creation and maintenance of reusable componets.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":4577,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-16T12:10:38Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":29,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-16T18:04:41Z"},"pay":null,"html_url":"https://alion.io/job/fractal-genai-engineer","json_url":"https://alion.io/job/fractal-genai-engineer.json","meta":{"generated_at":"2026-10-16T18:04:41Z","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":3004,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-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%2Ffractal-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%2Ffractal-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/fractal-genai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-genai-engineer"}]}