{"id":4320945,"url":"https://alion.io/job/aptino-sr-full-stack-engineer-with-ai","title":"Sr. Full Stack Engineer with AI","company":{"id":3843294,"name":"Aptino","domain":"aptino.com","url":"https://alion.io/company/aptino","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Claude","optional":false},{"name":"Figma","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Cypress","optional":true},{"name":"Django","optional":true},{"name":"Docker","optional":true},{"name":"GraphQL","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Jest","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"n8n","optional":true},{"name":"Node JS","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-14T17:21:57Z","employer_posted_date":null,"last_verified_at":"2026-11-14T17:21:57Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Position: Sr. Full Stack Engineer with AI\nLocation: Viman Nagar, Pune, MH - Hybrid \nStart Date:ASAP (30-60 day notice period is max...ideally sooner)\nShift Time: 4:30 pm to 1:30 am IST \n\nNote:Must have at least 8 years of total experience - Need an engineer who can handle both frontend and backend development\n\nJob Description:\nWe are looking for a Full-Stack Developer to build production-ready, goal-driven AI agents that reduce the administrative and digital workload placed on technicians, along with the technician-facing interface people use to work with them.\nThis is not a traditional data science or LLM experimentation role. The ideal candidate is a hands-on AI engineer who has built agents that reason toward a goal, interact with applications and APIs, take actions, and run reliably in production.\nStrong full-stack skills matter equally. You will build both the AI and agent capabilities and the front-end experience that lets technicians review, approve, and act on what the agents do.\n\nWhat You'll Be Doing\nAI agents\nDesign, build, and enhance goal-driven AI agents that take real-world digital actions.\nTurn an initial proof of concept into a production-ready agentic solution.\nBuild workflows where agents complete multi-step tasks independently, with human approval when required.\nWork with Anthropic's enterprise Claude platform to develop and enhance AI capabilities.\n\nFront end\nBuild intuitive, technician-facing interfaces, not just back-end AI functionality.\nTurn design specifications and Figma prototypes into responsive, accessible UI components.\nShow agent activity, status, and approval requests clearly, so technicians stay in control.\n\nBack end and integration\nDevelop integrations between AI agents and enterprise systems through APIs.\nUse Python and Java for AI, automation, integration, and application development.\nPartner with colleagues focused on AI engineering, Snowflake and data engineering, and ServiceNow.\n\nArchitecture and quality\nHelp decide the right architecture and technical approach as the project evolves, rather than implementing predefined features.\nBuild for production readiness, scalability, reliability, security, and maintainability.\n\nRequired Qualifications\n\nAI engineering\nStrong hands-on AI engineering experience, with agents that have moved beyond experimentation or basic LLM usage into production.\nStrong understanding of agentic AI concepts and terminology.\nExperience building solutions where agents reason, work toward goals, invoke tools or APIs, and take actions.\nUnderstanding of LLMs and modern generative AI architectures, plus solid data science fundamentals.\n\nFront end (required)\nHands-on experience building user-facing applications with React and TypeScript, including Next.js or a similar framework.\nStrong HTML5, CSS3, and modern JavaScript (ES6+), including responsive layouts with Flexbox and Grid.\nExperience with a utility or component styling approach such as Tailwind CSS.\nAbility to turn Figma designs into pixel-accurate, accessible, cross-browser interfaces.\nExperience consuming REST APIs and managing client-side state, loading states, and error handling.\n\nBack end and integration\nStrong full-stack software development experience across back-end and user-facing development.\nStrong Python and Java knowledge, and an understanding of how Python applies to AI-driven solutions.\nExperience designing, developing, and consuming APIs.\n\nWorking style\nComfortable in an evolving environment where requirements and technical approaches change as the team learns.\nStrong communication skills, able to discuss technical decisions, trade-offs, and the future of AI with both technical and business stakeholders.\n\nNice to Have\nExperience with Anthropic's Claude platform, Model Context Protocol (MCP), RAG, or workflow tools such as n8n.\nFamiliarity with Snowflake or other data platforms, and with ServiceNow integrations.\nExperience with Node.js, GraphQL, or Django alongside Python and Java.\nCloud and delivery experience: AWS, Docker, CI/CD, and automated testing such as Cypress or Jest.\nExperience designing human-in-the-loop approval flows for AI-driven actions.","description_format":"text","description_chars":4152,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["IT Consulting & Digital Transformation","Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-14T20:10:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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