{"id":2920152,"url":"https://alion.io/job/thepsi-sr-full-stack-engineer-ai","title":"Sr. Full - Stack Engineer - AI","company":{"id":44642,"name":"Thepsi","domain":"thepsi.com","url":"https://alion.io/company/thepsi","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jaipur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"Jest","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-20T11:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-20T11:35:00Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"We are looking for a hands-on Senior Full-stack AI Engineer who can independently design, develop, test, and deploy end-to-end agentic AI applications using React.js and Python. You will be responsible for taking a business requirement, breaking it into modules, deciding the application architecture, designing data structures and APIs, integrating AI components, and delivering a fully functional, production-ready solution. Need someone who can think independently, make technical decisions, integrate services, and take complete ownership of the application lifecycle as an individual contributor.\n\nResponsibilities: \nEnd-to-End Development: Build complete AI applications using React.js for the frontend and Python for the backend.\nSolution Design: Understand business requirements, divide work into modules, and define application architecture, data structures, and API requirements.\nAgentic AI Development: Integrate LLMs, RAG pipelines, AI agents, tool calling, and frameworks such as LangChain and LangGraph.\nService Integration: Integrate third-party APIs, databases, AI models, MCP servers, and other required services and protocols.\nDatabase Design: Design and manage relational databases and vector databases based on application requirements.\nDeployment and Infrastructure: Handle end-to-end deployment, CI/CD pipelines, Docker, cloud infrastructure, and production releases.\nTesting and Quality: Perform end-to-end testing, including unit, integration, functional, and smoke testing, to ensure application reliability.\nPerformance and Security: Monitor application performance, troubleshoot issues, and follow secure coding and deployment practices.\nOwnership and Communication: Work independently, communicate effectively with stakeholders, provide regular updates, and support off-hours activities when required by business needs.\n\nRequirements: \nStrong hands-on experience with React.js, JavaScript/TypeScript, and modern frontend development.\nStrong Python programming skills with experience in Fast API, Django, or similar backend frameworks.\nPractical experience building and deploying end-to-end AI applications.\nGood understanding of LLMs, RAG, vector databases, prompt engineering, and AI agent workflows.\nExperience with frameworks such as LangChain or LangGraph.\nUnderstanding of MCP, tool calling, function calling, and API integrations.\nExperience with SQL/NoSQL databases, REST APIs, and data modeling.\nExperience with Docker, CI/CD, cloud platforms, and production deployments.\nHands-on experience with automated testing frameworks such as PyTest and Jest.\nSkills\nlarge language model, large language models, llm, llms, python, react, react.js","description_format":"text","description_chars":2673,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Artificial Intelligence","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-20T11:35:00Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring 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