{"id":2941356,"url":"https://alion.io/job/cognethro-ai-developer-for-chennai-location","title":"AI Developer – For Chennai location","company":{"id":4451322,"name":"CogNet","domain":"cognethro.com","url":"https://alion.io/company/cognethro","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ambattur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Anthropic","optional":true},{"name":"ASP.NET Core","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"Gemini","optional":true},{"name":"Git","optional":true},{"name":"Hugging Face","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"OCR","optional":true},{"name":"OpenCV","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Pydantic","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"SQL","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-10-17T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-21T15:10:11Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role CogNet HR Solutions is seeking an AI Developer to design and build our AI-powered intelligent document processing and workflow automation platform which will process complex business documents such as PDFs, scanned documents, spreadsheets, forms, invoices, payroll reports, insurance documents, loss runs, applications, contracts, and other structured and unstructured data. The AI Developer will work across the complete AI pipeline from document ingestion and classification through extraction, validation, reasoning, workflow automation, human review, and enterprise integration. This is a hands-on engineering role for someone who can take AI solutions from prototype to secure, reliable production. Preferred Technology Stack AI / LLM: OpenAI APIs, Azure OpenAI, Amazon Bedrock, Anthropic Claude, Google Gemini, Hugging Face, vision-language models. AI Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, and agent/tool-calling frameworks. Programming: Strong Python proficiency; FastAPI, Pydantic, REST APIs, JSON and JSON Schema. Experience integrating AI services with C# / ASP.NET Core is highly desirable. Document Processing: PyMuPDF/PDF libraries, OCR technologies, AWS Textract, Azure Document Intelligence, Document AI, OpenCV, and Excel processing. Data: SQL Server/PostgreSQL, vector databases, embeddings, semantic search, Redis or equivalent caching. Cloud / DevOps: AWS, Docker, Git, CI/CD, S3, Lambda, ECS/EKS, CloudWatch, SQS or equivalent messaging/queue technologies.Requirements\nKey\nResponsibilities AI & LLM Development\nDesign and develop AI applications using Large Language Models (LLMs).\nBuild AI agents for document classification, extraction, validation, reasoning, and workflow execution.\nDevelop structured extraction pipelines that convert unstructured documents into validated JSON and database records.\nImplement prompt engineering, structured outputs, function/tool calling, and agent workflows.\nEvaluate models based on accuracy, latency, security, and cost.\nBuild confidence scoring and human-review routing for exceptions.\nImplement guardrails and validation to minimize hallucinations and incorrect extraction. Intelligent Document Processing Build document-processing pipelines supporting: PDF / Images / Excel / Word / Email → Classification → OCR/Vision → AI Extraction → Validation → Business Rules → Human Review → API/Database.\nDocument type detection and classification.\nOCR and vision-based document understanding.\nTable, form, key-value, and entity extraction.\nMulti-page processing, document splitting, and routing.\nCross-document comparison and reconciliation.\nConfidence scoring, exception handling, and human-in-the-loop review.\nStructured JSON output generation. Agentic Workflow Development\nDevelop agents that identify document types and select appropriate extraction schemas.\nExtract and validate information against business rules.\nCompare multiple documents and identify missing or inconsistent information.\nCall APIs and enterprise systems and route documents to appropriate workflows.\nGenerate summaries and recommendations and escalate exceptions for human review.\nDesign reliable orchestration with retries, logging, fallbacks, and error handling. Application & API Development\nDevelop backend AI services and REST APIs.\nIntegrate AI services with CogNet applications and third-party enterprise platforms.\nBuild asynchronous/background processing for large document workloads.\nDesign scalable queues and batch-processing capabilities.\nImplement secure API authentication and authorization. Cloud & Production AI\nDeploy and operate AI applications on AWS.\nBuild containerized applications using Docker.\nImplement scalable AI inference and document-processing architectures.\nMonitor model performance, latency, token consumption, failures, and cost.\nImplement production logging, monitoring, retries, and exception handling. RAG & Enterprise Search\nRetrieval-Augmented Generation (RAG), embeddings, vector search, and hybrid search.\nChunking strategies, metadata filtering, document retrieval, and citation/source grounding.\nEnterprise document search or knowledge-management experience is an advantage. AI Quality & Evaluation\nCreate AI evaluation datasets and measure extraction accuracy.\nCompare model performance and track false positives/false negatives.\nTest prompts and extraction schemas and implement AI regression testing.\nMonitor production AI quality and optimize model selection for accuracy, speed, and cost. Security & Data Privacy\nEncryption in transit and at rest, role-based access control, and secure API design.\nSecrets management, audit logging, data isolation, and PII handling.\nSecure LLM integration and protection against prompt injection and malicious documents. Required\nQualifications\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related discipline.\n5+ years of software development experience.\nStrong Python programming skills and practical experience building applications using LLM APIs.\nExperience developing REST APIs and backend services.\nExperience processing PDFs and other business documents.\nStrong understanding of structured and unstructured data and SQL databases.\nFamiliarity with cloud platforms, preferably AWS.\nStrong analytical and problem-solving skills.\nPreferred\nQualifications\nIntelligent Document Processing (IDP) and AI agents/agentic workflows.\nInsurance or Workers’ Compensation documents, payroll/HR data, or financial documents.\nInvoice processing, document reconciliation, and enterprise workflow automation.\nRAG applications, AWS Bedrock, AWS Textract, OpenAI APIs, or high-volume document-processing systems. What You Will Build Document Upload → Automatic Classification → AI Extraction → Validation → Human Review → Workflow → Enterprise Integration\nInsurance submission processing and Workers’ Compensation loss-run analysis.\nPayroll and HR document extraction.\nBenefits reconciliation, invoice processing, and bank reconciliation.\nContract/form extraction, document comparison, and AI-powered enterprise document search. What Success Looks Like\nBuild production-ready document AI pipelines supporting multiple document types and configurable schemas.\nAchieve measurable extraction accuracy and establish automated evaluation and monitoring.\nDevelop reusable AI agents and services and integrate Drive with CogNet applications.\nImplement human-in-the-loop exception workflows.\n• Improve document-processing speed and automation rates while reducing inference cost. Ideal Candidate We are looking for a builder rather than someone focused only on AI research. The ideal candidate can take a business problem such as: “Read these 200-page insurance documents, identify the document types, extract the required information, validate the information, identify exceptions, and return structured data through an API,” and design and implement the complete production solution. The candidate should be comfortable experimenting with new AI models while maintaining the engineering discipline required for secure, reliable enterprise software.","description_format":"text","description_chars":7145,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-20T17:23:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":27,"reasons":["conf:0","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/cognethro-ai-developer-for-chennai-location","json_url":"https://alion.io/job/cognethro-ai-developer-for-chennai-location.json","meta":{"generated_at":"2026-10-21T17:59:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25322,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4451322},"rest":"https://alion.io/mcp/rest/get_company?id=4451322"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcognethro-ai-developer-for-chennai-location"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcognethro-ai-developer-for-chennai-location"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcognethro-ai-developer-for-chennai-location"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cognethro-ai-developer-for-chennai-location\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcognethro-ai-developer-for-chennai-location"}]}