{"id":3405077,"url":"https://alion.io/job/wissen-technology-python-ai-engineer-llm-agentic-ai-finance-data-platform","title":"Python AI Engineer – LLM & Agentic AI (Finance Data Platform)","company":{"id":412,"name":"Wissen Technology","domain":"wissen.com","url":"https://alion.io/company/wissen-technology","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":82,"open_postings":7,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":20000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"DeepEval","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Hallucination","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LangSmith","optional":true},{"name":"MLFlow","optional":true},{"name":"Oracle","optional":true},{"name":"Oracle ERP","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-28T15:56:07Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T04:25:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Wissen Technology is hiring for Python AI Engineer - LLM & Agentic AI (Finance Data Platform)\nABOUT WISSEN TECHNOLOGY\nAt Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset-ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edgetechnology expertise, and a relentless focus on quality. We don'tjust meet expectations-we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track recordof building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provideclientsthe flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact-the first time, every time.\nJOB SUMMARY\nWissen Technology is hiring a Python AI Engineer to build and maintainAI-powered finance applications for global financial services clients. The role focuses on product development using Python, LLMs, Agentic AI frameworks, and RAG architectures to help users discover, understand, and act on finance and operational data at scale.\nEXPERIENCE, LOCATION, MODE OF WORK\nExperience: 4-6 years\nLocation: Bangalore\nMode of Work: Hybrid\nMandatory Skills (Must Have)\nCore Python (4+ years with OOP, data structures, error handling, and production-grade development)\nLLM Engineering using OpenAI, Azure OpenAI, Anthropic, or open-source models\nLangChainand LangGraphfor Agentic AI workflows and tool orchestration\nRAG development including embeddings, vector databases, retrieval tuning, and grounding\nFastAPIor Flask REST API development and integrations\nPandas and structured/unstructured data processing for AI applications\nSQL and relational database querying in enterprise environments\nGit, unit testing, code reviews, and software engineering best practices\n\nOptional Skills (Good to Have)\nDatabricks, Mosaic AI, Vector Search, Unity Catalog, or MLflow\nSpark/PySpark data processing\nFinancial services, finance, accounting, GL, reconciliation, or reporting domain knowledge\nOracle Cloud or Oracle Fusion data integrations\nLangSmith, RAGAS, DeepEval, or AI observability tools\nAWS, Azure, GCP, Docker, and CI/CD pipelines\n\nProfessional Attributes & Qualifications\nEducation: BE/BTech/ME/MTech in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field\nLeadership: Experience mentoring engineers and guiding technical implementation decisions\nOwnership: Ability to independently drive end-to-end AI product features and solutions\nCommunication: Strong written and verbal communication skills for technical and business stakeholders\nProblem Solving: Ability to explain technical trade-offs and recommend scalable AI architectures\n\nKey Responsibilities\nBuild Python services for processing and transforming structured and unstructured finance data\nDesign and develop end-to-end RAG pipelines with document ingestion, chunking, embeddings, and vector search\nBuild AI agents and workflows using LangChain and LangGraph\nIntegrate LLMs with APIs, databases, and enterprise finance platforms\nEvaluate LLM responses for quality, relevance, accuracy, and hallucination reduction\nOptimize latency, reliability, scalability, and cost of production AI systems\nImplement security, privacy, and access-control practices in regulated environments\nCollaborate with product owners, data engineers, and stakeholders to deliver enterprise AI solutions\n\nWissen Sites\nWebsite: www.wissen.com\nLinkedIn: https://www.linkedin.com/company/wissen-technology\nWissen Leadership: https://www.wissen.com/company/leadership-team/\nWissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All\nWissen Thought Leadership: 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