{"id":1319035,"url":"https://alion.io/job/talentxo-tech-lead-ai-solutions-system-integration-frontend","title":"Tech Lead – AI Solutions, System Integration & Frontend","company":{"id":3798349,"name":"TalentXO","domain":"talentxo.com","url":"https://alion.io/company/talentxo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":4500000,"max":5000000,"currency":"INR","period":"year","gross":true,"usd_annual":52160},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SharePoint","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-09-10T12:16:44Z","employer_posted_date":null,"last_verified_at":"2026-09-10T12:16:44Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"About the Role\nWe are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.\nYou will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.\nExample Project\nDesign and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:\nGenerating client proposals using historical SharePoint data and CRM insights\nSummarizing meeting transcripts\nDrafting follow-up communications\nFeeding structured insights into dashboards and workflow tools\nThe solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.\nKey Responsibilities\nArchitect and implement AI workflows using LLMs, vector databases, and automation frameworks\nAct as a System Integrator, coordinating deliverables across distributed engineering and AI teams\nDevelop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration\nDesign APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)\nDrive architecture decisions balancing scalability, performance, and security\nCollaborate with product managers, clients, and data teams to translate business use cases into production-ready systems\nMentor junior engineers and evolve into a broader leadership role as the team grows\nIdeal Candidate Profile\nExperience Requirements\n5+ years in full-stack development (Python backend + React/JavaScript frontend)\nStrong experience in API and microservice integration\n2+ years leading technical teams and coordinating distributed engineering efforts\n1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)\nPrior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions\nTechnical Expertise\nDesigning and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration\nEnsuring backend and AI systems are scalable, reliable, observable, and secure\nFamiliarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)\nExperience building production-grade AI systems within enterprise SaaS ecosystems\n\nSkills\nPython, React.js, Javascript, API management, RESTful APIs","description_format":"text","description_chars":2758,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T20:00:59Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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