{"id":170535,"url":"https://alion.io/job/ge-vernova-staff-software-engineer-python-gen-aillm","title":"Staff Software Engineer-Python, Gen AI,LLM","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":368,"ghost_share":0.003,"stale_share":0.685,"repost_share":0.033,"time_to_fill_p50_days":27,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":8,"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":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-27T00:00:00Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-23T03:15:43Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"Job Description Summary\nWe are seeking a talented Staff Engineer to design, develop, and deliver scalable software solutions with a focus on Generative AI and modern cloud technologies. The ideal candidate will have strong software engineering fundamentals and hands-on experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. You will collaborate with cross-functional teams to translate business requirements into reliable, secure, and high-performing solutions while contributing to technical design, architecture, and engineering best practices.Job Description\nKey Responsibilities\nDesign, develop, and maintain enterprise-grade Generative AI applications.\nBuild Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.\nDevelop AI assistants, copilots, and intelligent workflows using LLMs and AI orchestration frameworks.\nIntegrate foundation models from providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, and open-source models.\nDesign and implement REST APIs and microservices to support AI applications.\nCollaborate with cross-functional teams to translate business requirements into technical solutions.\nOptimize AI application performance, scalability, latency, and operational costs.\nImplement prompt engineering, model evaluation, and AI guardrails to improve solution quality.\nFollow software engineering best practices, including code reviews, automated testing, CI/CD, and DevOps.\nContribute to technical design discussions and architecture decisions.\nMentor junior engineers and promote engineering best practices within the team.\nStay current with emerging AI technologies and recommend improvements to existing solutions.\n Required Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.\n8+ years of software engineering experience, including hands-on experience with Generative AI technologies.\nStrong proficiency in Python and SQL.\nExperience building applications using Large Language Models (LLMs).\nHands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.\nExperience with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.\nExperience developing REST APIs and microservices.\nExperience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).\nStrong understanding of software design principles, distributed systems, and cloud-native application development.\nExperience with Git, CI/CD pipelines, and modern software development practices.\nStrong analytical, problem-solving, and communication skills.\nAdditional Information\nRelocation Assistance Provided: Yes","description_format":"text","description_chars":2762,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Industrial Machinery","Wind Energy","Smart Grid"],"lifecycle":[{"event":"open","at":"2026-08-29T23:20:08Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long 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