{"id":1230165,"url":"https://alion.io/job/cognition-techsystems-ai-engineer","title":"AI Engineer","company":{"id":3801151,"name":"Cognition Techsystems","domain":"cognition.co.in","url":"https://alion.io/company/cognition-techsystems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Anthropic","optional":true},{"name":"BigQuery","optional":true},{"name":"Context Engineering","optional":true},{"name":"Gemini","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-21T05:01:15Z","employer_posted_date":null,"last_verified_at":"2026-09-21T05:01:15Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"Role:\n\nWe are looking for an experienced AI Engineer to build and deliver practical, business-driven AI solutions. 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This role emphasizes rapid development, integration, deployment, and productionization of AI-powered solutions.\n\nKey Responsibilities:\n\n- Design and rapidly deliver AI and Generative AI solutions by integrating existing cloud models, LLMs, and APIs.\n\n- Translate business requirements into technically feasible AI-powered applications and workflows.\n\n- Integrate Google Cloud AI services, including Vertex AI and Document AI, into microservices and enterprise workflows.\n\n- Design, develop, deploy, and monitor intelligent/AI agents for automation and personalization.\n\n- Collaborate with Data Scientists, Architects, Full Stack Engineers, and Squad Leads.\n\n- Build scalable solutions using API-driven and event-driven microservices architectures.\n\n- Develop and maintain CI/CD pipelines using Google Cloud Build and GitHub Actions.\n\n- Work closely with DevOps and SRE teams for reliable deployment, monitoring, and production support.\n\n- Prepare API documentation, runbooks, architecture diagrams, technical demos, and training material.\n\n- Ensure AI applications follow organizational Responsible AI and ethical AI standards.\n\nTech Stack & Skills:\n\n- 5 - 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