{"id":1523128,"url":"https://alion.io/job/the-infatuation-software-engineer-iii-python-llm-engineer","title":"Software Engineer III - Python LLM Engineer","company":{"id":1048574,"name":"The Infatuation","domain":"theinfatuation.com","url":"https://alion.io/company/the-infatuation","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":100,"open_postings":192,"ghost_share":0.01,"stale_share":0,"repost_share":0.224,"time_to_fill_p50_days":4,"computed_at":"2026-09-30T05:45:00Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":53000,"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":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Embeddings","optional":true}],"status":"live","first_seen_at":"2026-09-30T08:59:29Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-09-30T23:21:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.\nAs a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.\nJob Responsibilities\nDesign and build agentic AI workflows capable of multi-step reasoning, tool orchestration, and task execution, with clear boundaries, fallback behavior, and human approvals where needed.\nDevelop and productionize LLM-powered applications such as conversational interfaces, intelligent search, summarization/extraction services, and advisory assistants.\nImplement patterns for tool integration (APIs, internal services, data sources) so agents can safely retrieve data and take actions with authentication/authorization, audit logging, and least-privilege access.\nBuild and maintain RAG components where applicable (ingestion, indexing, retrieval, grounding/citations, reranking) and tune for answer quality and latency.\nProduce architecture/design artifacts for distributed systems, including service boundaries, data flows, scalability, resiliency, and non-functional requirements (latency/throughput/availability).\nEstablish evaluation and monitoring: offline test sets, automated regression checks, prompt/version management, hallucination/grounding checks, and runtime observability (traces, latency, cost, tool-call success rates).\nApply practical data engineering / analytics skills to support AI features: data cleaning, normalization, deduplication, exploratory analysis, and basic KPI reporting on system quality and user behavior.\nLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\nCollaborate with product, design, and stakeholders to translate requirements into technical solutions, delivery plans, and iterative releases and ensure solutions meet security, privacy, and responsible AI expectations (safe handling of sensitive data, compliance-aware design, and controlled model outputs).\nMentor engineers and contribute to shared standards, reusable components, and engineering best practices across AI delivery.\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 3+ years applied experience\nExperience in software engineering, including delivering production applications and services.\nStrong proficiency in Python and experience with APIs/microservices.\nHands-on experience building LLM/RAG/agentic applications (prompting, structured outputs, tool/function calling, state management, error handling).\nFamiliarity with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.\nWorking knowledge of data handling basics: data cleaning, joins/aggregations, simple statistics, exploratory analysis; comfortable with SQL and/or pandas-style workflows.\nExperience with cloud platforms (AWS or Azure), CI/CD, observability, and operational reliability practices.\nHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.\nStrong understanding of secure development practices and validation of AI outputs (correctness, performance, and security).\nPreferred qualifications, capabilities, and skills\nFamiliarity with vector search and retrieval tuning (embeddings, reranking, query rewriting).\nExperience working in regulated environments or building applications with strict audit/security requirements.","description_format":"text","description_chars":4873,"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":["Food & Beverages","Meat & Poultry","Grains, Cereals & Pasta"],"lifecycle":[{"event":"open","at":"2026-09-30T12:44:19Z"}],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.835,"p_room":1,"age_days":0,"expected_fill_days":4,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-10-01T04:18:10Z"},"pay":null,"html_url":"https://alion.io/job/the-infatuation-software-engineer-iii-python-llm-engineer","json_url":"https://alion.io/job/the-infatuation-software-engineer-iii-python-llm-engineer.json","meta":{"generated_at":"2026-10-01T04:18:10Z","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":3607,"day_limit":5000,"remaining_today":1393,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}