{"id":2573719,"url":"https://alion.io/job/photon-genaipython-developer-aiml-newyork-ny-citi","title":"GenAI/Python Developer - AI/ML - Newyork, NY - Citi","company":{"id":3186451,"name":"Photon","domain":"photon.com","url":"https://alion.io/company/photon-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"D","score":45,"open_postings":598,"ghost_share":0.913,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":155000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-14T22:42:34Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T12:56:16Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":6},"description":"Job Description: GenAI/Python Developer - AI/ML\nRole Overview\nWe are looking for an experienced GenAI/Python Developer to design, build, and deploy production-grade Generative AI applications and intelligent agent-based solutions. The ideal candidate will have strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures.\nThe role requires hands-on experience building scalable AI solutions, integrating commercial and open-source LLMs, fine-tuning models, and optimizing GenAI applications for performance, latency, cost, reliability, and production scalability.\nKey Responsibilities\nDesign, develop, and orchestrate sophisticated Generative AI workflows using LangGraph, LangChain, and multi-agent architectures.\nBuild and maintain advanced Retrieval-Augmented Generation (RAG) solutions using LlamaIndex and vector databases.\nDesign retrieval pipelines focused on improving the accuracy and relevance of LLM-generated responses.\nIntegrate and evaluate multiple commercial and open-source LLMs, including OpenAI, Anthropic, Llama, and Mistral, based on application, performance, and cost requirements.\nDevelop scalable and high-performance backend services and APIs using Python, FastAPI, and asynchronous programming.\nFine-tune and customize LLMs for domain-specific use cases using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA.\nApply advanced prompt engineering techniques to improve LLM response quality and application performance.\nOptimize GenAI workflows for latency, cost, scalability, and reliability.\nImplement monitoring and observability for LLM applications using tools such as LangSmith and Langfuse.\nContainerize AI applications and services using Docker and support production deployments through CI/CD pipelines.\nDeploy and maintain GenAI solutions across cloud environments such as AWS, Azure, or GCP.\nCollaborate with engineering, AI/ML, architecture, and product teams to convert business requirements into scalable AI solutions.\nTroubleshoot and optimize production AI applications, APIs, retrieval pipelines, and model integrations.\nCompensation, Benefits and Duration\nMinimum Compensation: 155,000 USD\nMaximum Compensation: 217,000 USD\nCompensation is based on actual experience and qualifications of the candidate. 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