{"id":3315886,"url":"https://alion.io/job/infobeans-technologies-infobeans-technologies-ai-engineer","title":"InfoBeans Technologies - AI Engineer","company":{"id":59407,"name":"InfoBeans","domain":"infobeans.ai","url":"https://alion.io/company/infobeans-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":6,"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":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-26T23:16:55Z","employer_posted_date":null,"last_verified_at":"2026-10-26T23:16:55Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Role : AI Engineer\n\nLocation : Indore/ Pune\n\nExperience : 6 to 9 Years\n\nKey Skills : Python, GenAI, Agentic Development, APIs, Data Integration, Git/CI-CD, Cloud Architecture, Azure, Databricks, Snowflake, Claude Code, Copilot, Spec-Driven Development\n\nJob Description\n\nAs an AI Engineer, you will help teams apply artificial intelligence to real engineering and business workflows with a focus on rapid prototyping, validation, reuse, and production adoption. Working directly with client engineering leads, you will independently shape solutions, build reusable agentic frameworks, and streamline engineering workflows.\n\nWhat Will Your Role Look Like\n\n Develop SDLC agents and construct a reusable skills and instructions library.\n Implement agent-assisted PR reviews, development, testing, and related engineering workflows.\n Codify reusable prompts, skills, patterns, and implementation knowledge.\n Support Databricks Lakehouse automation where AI genuinely adds value.\n Contribute to credit-risk AI extensions as mature opportunities arise.\n Work directly with client engineering leads to shape solutions independently.\n\nWhy You Will Love This Role\n\n Opportunity to drive hands-on adoption of cutting-edge GenAI and agentic frameworks.\n Direct client impact and ownership over solution design and engineering workflows.\n Culture focused on rapid prototyping, practical automation, and high-value production adoption.\n Exposure to advanced cloud and big data platforms like Azure, Databricks, and Snowflake.\n\nWe Would Like You To Bring Along\n\n Strong foundation in Python and application engineering.\n Hands-on experience with GenAI and agentic development.\n Solid understanding of APIs, data integration, Git/CI-CD, and cloud application architecture.\n Familiarity with Azure for cloud and Databricks or Snowflake for big data.\n Comfort working with Claude Code or Copilot using spec-driven development.\n Proven ability to work directly with client engineering leads and independently shape solutions.\n Strong product judgment on when to use automation, agents, or conventional 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