{"id":1230420,"url":"https://alion.io/job/codechavo-global-ai-engineer","title":"AI Engineer","company":{"id":3800715,"name":"Codechavo Global","domain":"codechavo.com","url":"https://alion.io/company/codechavo-global","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":43000,"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":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-18T12:03:44Z","employer_posted_date":null,"last_verified_at":"2026-09-18T12:03:44Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"AI Engineer\n\nExperience: 5 - 7 Years\n\nLocation: Pune (WFO)\n\nKey Responsibilities:\n\n- Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.\n\n- Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.\n\n- Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.\n\n- Design, implement, deploy, and monitor intelligent agents to support automation and personalization.\n\n- Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.\n\n- Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.\n\n- Ensure all AI solutions comply with corporate policies on responsible AI and ethical standards.\n\nQualifications:\n\n- Education: Bachelor's or Master's degree in Computer Science, Software Engineering.\n\n- Proven experience with Google Cloud Platform development (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).\n\n- Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), mastering prompt and context engineering.\n\n- Strong knowledge of microservices architecture and development patterns (API-driven, event-driven).\n\n- Proven experience with programming languages (SQL & Python is a must).\n\n- Knowledge of agentic development frameworks (e.g. Google Agent Development Kit).\n\n- Proficient in using coding assistant tools, building POCs rapidly.\n\n- Knowledge of BigQuery and CI/CD pipelines in GCP context.\n\n- Strong team player with a fast-learning, 'iterate quickly' mindset.\n\n- Excellent English communication skills, both written and verbal.\n\n- Demonstrated problem-solving ability with a structured, process-oriented approach.\nSkills\nArtificial Intelligence, Google Cloud Platform, LLM, Vertex AI, OpenAI, SQL, Python","description_format":"text","description_chars":2152,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.759,"p_room":0.945,"age_days":9,"expected_fill_days":23,"reasons":["seen:9","velocity","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/codechavo-global-ai-engineer","json_url":"https://alion.io/job/codechavo-global-ai-engineer.json","meta":{"generated_at":"2026-09-29T00:29:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":361,"day_limit":5000,"remaining_today":4639,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}