{"id":1230627,"url":"https://alion.io/job/meeden-labs-pythongenerative-ai-engineer","title":"Python/Generative AI Engineer","company":{"id":3800846,"name":"Meeden Labs","domain":"meedenlabs.com","url":"https://alion.io/company/meeden-labs","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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-09-18T04:39:50Z","employer_posted_date":null,"last_verified_at":"2026-09-18T04:39:50Z","board_verified":false,"closed_at":null,"days_open":40,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":40},"description":"Role Overview : \n\nAs a Senior Python Developer specializing in Generative AI, you will lead the design and implementation of sophisticated LLM-based applications that drive core business value. You will work closely with cross-functional engineering teams, data scientists, and product stakeholders to architect robust pipelines that transform raw data into intelligent, actionable insights. This role is pivotal in shaping our technical roadmap, ensuring that our AI integrations are not only innovative but also secure, scalable, and highly performant for our end-users.\n\nKey Responsibilities : \n\n- Architect and deploy scalable Generative AI solutions by integrating Large Language Models into existing enterprise ecosystems to automate complex business processes.\n\n- Design and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure high-accuracy, context-aware responses for mission-critical applications.\n\n- Develop and maintain high-performance REST APIs and microservices to facilitate seamless communication between AI models and front-end interfaces.\n\n- Engineer sophisticated prompt strategies to improve model output quality, consistency, and reliability across diverse use cases.\n\n- Manage and scale VectorDB implementations to support efficient data retrieval and semantic search capabilities within large-scale datasets.\n\n- Leverage cloud-native AI services such as Azure Foundry and AWS Bedrock to build, test, and deploy production-ready AI models with high availability.\n\n- Collaborate with engineering leadership to establish best practices for code quality, system architecture, and AI model governance.\n\nRequired Skillset : \n\n- Demonstrated expertise in Python development with 8 - 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