{"id":1526587,"url":"https://alion.io/job/verisk-analytics-gen-ai-developer-python-fast-api","title":"Gen AI Developer- Python, FAST API","company":{"id":58882,"name":"Verisk Analytics","domain":"verisk.com","url":"https://alion.io/company/verisk-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":20,"ghost_share":0.05,"stale_share":0.45,"repost_share":0.15,"time_to_fill_p50_days":3,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","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":19500,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pinecone","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},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-09-30T12:09:12Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T12:10:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"This role is focused on building real-world GenAI solutions - not just experimentation or research. The candidate should be comfortable writing production-quality code, building APIs, integrating LLMs, and working with modern AI engineering frameworks and cloud platforms.\nYou will work closely with product managers, architects, data scientists, and engineering teams to develop scalable, secure, and efficient AI-powered applications.\nDesign, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks.\nBuild and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.\nImplement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases.\nIntegrate commercial and open-source LLMs into enterprise applications.\nDevelop prompt engineering workflows and support AI model evaluation and optimization.\nDeploy and support AI applications on AWS cloud platforms.\nParticipate in troubleshooting and optimizing AI systems for latency, reliability, scalability, and cost efficiency.\nCollaborate with cross-functional teams across onshore and offshore locations.\nWrite clean, maintainable, and testable code following software engineering best practices.\nParticipate in code reviews, unit testing, integration testing, and CI/CD processes.\n3-5 years of experience in software engineering, AI/ML, or related technical roles.\nStrong hands-on programming skills in Python.\nExperience building backend applications and REST APIs using FastAPI, Flask, or Django.\nPractical experience working with Generative AI or LLM-based applications.\nUnderstanding of Retrieval-Augmented Generation (RAG) concepts and semantic search.\nExperience with vector databases such as Pinecone, OpenSearch, or similar technologies.\nExperience integrating AI models or services such as OpenAI, Anthropic, AWS Bedrock, Hugging Face, or open-source LLMs.\nExperience with AWS cloud services and deploying applications in cloud environments.\nUnderstanding of software engineering best practices including:\no Unit testing\no Integration testing\no Git/version control\no CI/CD workflows\nStrong debugging, analytical, and problem-solving skills.\nGood communication and collaboration skills.\nMust have Qualifications\nExperience with prompt optimization and AI evaluation techniques.\nExposure to NLP","description_format":"text","description_chars":2393,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Data Providers & Datasets","InsurTech"],"lifecycle":[{"event":"open","at":"2026-09-30T14:21:45Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.612,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:4","stale_co","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/verisk-analytics-gen-ai-developer-python-fast-api","json_url":"https://alion.io/job/verisk-analytics-gen-ai-developer-python-fast-api.json","meta":{"generated_at":"2026-10-01T13:20:29Z","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":4943,"day_limit":5000,"remaining_today":57,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}