{"id":796052,"url":"https://alion.io/job/turgon-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":689545,"name":"Turgon","domain":"turgon.ai","url":"https://alion.io/company/turgon","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"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":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Databricks","optional":true},{"name":"Pinecone","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"TensorFlow","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2025-12-08T18:41:12Z","employer_posted_date":"2025-12-08","last_verified_at":"2026-11-04T20:48:22Z","board_verified":true,"closed_at":null,"days_open":331,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":330},"description":"About Us\nAt Turgon, we believe there is a massive opportunity to reimagine how IT services are delivered by leveraging a combination of AI agents and humans to build, integrate and run the enterprise stack. AI agents that understand your existing infrastructure, processes and data and can rapidly help you modernize your infrastructure and generate insights about your business. That’s a $1.5T opportunity!\nWe are a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. We are building out our core team to re-imagine and build an AI Agent version of Accenture. If you are compelled by this vision, let’s chat!\nAbout the Role\nAs a Senior AI/ML Engineer you will help us architect and implement our set of semi-autonomous agents that can collaborate with each other and their human counterparts to create a semantic understanding of enterprise systems and their associated data, write code to integrate and run complex systems, QA data pipelines and observe systems in run-time / production.\nResponsibilities\nWork with the team to discover new ways to build agentic products so we can create truly autonomous AI employees.\nArchitect orchestration layers for AI agents and their human counterparts to collaborate. \nBuild out feedback / learning mechanisms for agents across enterprise environments. \nBuild systems for integrating AI models with third-party tools, enabling diverse real-world applications.\nStay updated with advancements in LLMs and machine learning to keep Turgon at the forefront of AI & agentic innovation.\nRequirements\n2+ years of professional experience in ML/AI engineering, with expertise in LLM fine-tuning and deployment.\nExperience with tools like Langsmith and Langchain for managing and optimizing LLM pipelines.\nStrong programming skills, particularly in Python, and experience with MLOps tools like MLflow.\nSolid understanding of backend systems and software engineering best practices.\nExcellent communication skills and the ability to convey complex technical concepts to diverse audiences.\nNice-to-Have Skills\nPrior startup or founding-team experience\nTensorFlow, PyTorch or other ML framework expertise\nFamiliarity with vector databases (Pinecone, Weaviate) and MLOps tools (MLflow, TFX)\nExperience/Familiarity with some Enterprise Software (Snowflake, Data Bricks, any ERP, CRM, Reporting and Analytics etc) or Data Engineering (Enterprise Data Pipelines, Integrations etc) \nEducation & Certification\nWe don’t actually care about qualifications as long as you are a rockstar engineer who wants to keep 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