{"id":3316328,"url":"https://alion.io/job/forage-assistant-lead-data-scientist","title":"Assistant Lead - Data Scientist","company":{"id":26589,"name":"Forage","domain":"forage.ai","url":"https://alion.io/company/forage-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":62000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Azure","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-27T01:51:14Z","employer_posted_date":null,"last_verified_at":"2026-10-27T01:51:14Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Location: Remote\nDo not apply if you have less than 4 years of full-time work experience \n\nAbout the Role\nWe're looking for a hands-on AI Systems Engineer who has built and deployed end-to-end AI/ML solutions into production. This role goes beyond applied AI—you'll design agentic systems that can reason, act, and operate autonomously through structured workflows.\nYou'll also play a key role in mentoring junior AI developers, ensuring high-quality execution and accelerating team capability.\nKey Responsibilities\nDesign and build agentic AI systems with multi-step reasoning and workflow orchestration\nDevelop and deploy end-to-end AI/ML pipelines from ideation to production\nArchitect multi-agent workflows with memory, tool usage, and decision logic\nWork with frameworks like LangChain, LangGraph, and similar ecosystems\nBuild systems integrating LLMs with APIs, databases, and external tools\nImplement evaluation, validation, and fallback strategies\nTeam Responsibilities\nWork closely with and be tagged with junior AI developers on projects\nAssist, guide, and handhold junior team members in development tasks\nAct as a go-to person for quickly resolving technical queries\nMonitor progress and ensure best practices in AI system development.\nMust-Have Skills\n4–6 years of experience in AI/ML Engineering or AI Systems Development\nHands-on experience building and deploying production-grade AI systems\nStrong foundation in:\no CNNs (Convolutional Neural Networks)\no Regression models\no Traditional ML algorithms (classification, clustering, etc.)\nProven experience with:\no LangChain\no LangGraph\no Experience with agentic tools/frameworks (e.g., OpenClaw or similar ecosystems)\nExperience designing or building an agentic framework or workflow system from scratch\nStrong algorithmic thinking and problem-solving skills\nProficiency in Python and backend frameworks\n\nEducation\nBachelor's degree in Computer Science or Master's degree in Artificial Intelligence / related field\n\n Nice to Have\nExperience with cloud platforms such as Amazon Web Services or Microsoft Azure (including ML Studio or equivalent)\nExperience deploying scalable AI systems in cloud environments\nPublished research papers or patents in Agentic AI / LLM systems\nExposure to advanced AI system design or multi-agent collaboration frameworks\n\nWhat Sets You Apart\nYou've built systems where agents take actions—not just generate outputs\nYou think in workflows, pipelines, and systems, not isolated models\nYou've mentored or led junior engineers and enjoy enabling others\nYou've handled real-world production challenges (scaling, failures, optimization)\n\nWhy Join\nBuild cutting-edge agentic AI systems (not just surface-level AI work)\nHigh ownership and opportunity to architect systems from scratch\nCollaborative environment with real technical depth\n\nWork‑from‑Home Requirements\nHigh‑speed internet for calls and collaboration.\nA capable, reliable computer (modern CPU, 8GB+ RAM).\nHeadphones with clear audio quality.\nStable power and backup arrangements.\nForageAI is an equal‑opportunity employer. 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