- Fluent, articulate in English, highly professional in both written and verbal communication. - 1-3 years of experience in Account Management, Customer Success, or Enterprise Support (SaaS preferred). - Strong interpersonal skills, able to build relationships with stakeholders at multiple levels. - Empathy for helping customers succeed. - Proactive, organized, dependable, and detail-oriented in managing follow-ups and deliverables. - Comfortable working US business hours (Eastern or Central Time). - Ability to navigate ambiguity, prioritize across accounts, and adapt quickly in a dynamic environmentRole & responsibilities
Strong programming skills: Python, Java, C++ . Proficiency in AI/ML frameworks : TensorFlow, PyTorch, Scikit-learn, Keras. Knowledge of NLP, Computer Vision, Deep Learning, and Generative AI . Solid understanding of Data Structures, Algorithms, and Object-Oriented Programming . Experience with Databases (SQL/NoSQL) and data pipelines. Familiarity with Big Data tools : Spark, Hadoop (good to have). Experience with Cloud platforms : AWS / GCP / Azure (AI & ML services). Knowledge of MLOps, model deployment, and monitoring tools . Familiarity with APIs, microservices, and distributed systems .
We are seeking a skilled Software Engineer to design and develop automation software that leverages Large Language Model (LLM) APIs such as OpenAI, Anthropic, or similar frameworks. The ideal candidate will have a strong background in Python , API integration, and workflow automation, with a passion for building intelligent, efficient, and scalable systems. Key Responsibilities Design, develop, and maintain automation software and AI-driven workflows using LLM APIs. Build robust integrations between internal systems and third-party AI platforms. Develop scalable and reusable Python-based backend modules for API orchestration. Implement data pipelines and input/output validation layers for LLM interactions. Work closely with data scientists, ML engineers, and product teams to define use cases for LLM automation. Optimize API usage for performance, reliability, and cost-efficiency. Contribute to internal AI tooling, prompt engineering frameworks, and evaluation systems. Write clean, well-documented, and testable code. Stay updated with emerging trends in LLM technologies , APIs, and automation tools.
Location & Work Hours Bangalore, India (onsite / hybrid, as per company policy) Shift: 5:00 PM to 2:00 AM IST (to overlap with US / Europe customers) Must be able to work direct calls / real-time interactions with customers in the US and other geographies About DeepCognition.ai (Context) DeepCognition builds generative AI / large-language model (LLM) driven document-to-data / intelligent document processing solutions. Their flagship product, PaperEntry AI , automates data extraction and document processing (especially in regulated, cross-border, customs / supply chain / government domains) with high accuracy and minimal manual setup. deepcognition.ai+2deepcognition.ai+2 Because their platform is complex, customizable, and often integrated into customer systems (ERP, TMS, etc.), technical outreach, support, customization, and internal feedback loops with R&D are integral to success. Role Summary The Technical Solutions Engineer (TSE) is a customer-facing technical lead who blends deep domain / AI knowledge with hands-on programming skills. The role serves as a bridge between customers experiencing issues or custom needs and the internal R&D / engineering teams. You will lead technical discussions, triage and solve problems (sometimes via writing code or scripts), and help drive enhancements to the core product when needed. Youll often operate in real time with customers, understand their workflows, diagnose root causes, propose solutions or workarounds, and escalate or drive feature enhancements. Your feedback to product & engineering will help make the platform more robust, flexible, and easier to integrate. Key Responsibilities Customer & Solution Engagement Act as primary technical contact for assigned customers (US, Europe, etc.) Lead deep-dive technical calls / workshops (discovery, troubleshooting, architecture) Diagnose customer issues to the root cause level (in platform, integration, data, environment) Provide code-level fixes, scripts, patches, configurations, or workarounds as needed Assist with onboarding, POCs, pilot rollouts, and handholding early-stage deployments Collaboration with Engineering / R&D Where a customer requirement requires extending or modifying the core product, work closely with product & engineering: scope the enhancement, provide design input, validate solutions Help prioritize bugs vs features based on severity and customer impact Participate in internal design, code review, and product planning discussions Provide customer insights / feedback (pain points, missing features, improvement suggestions) Technical & Domain Expertise Deep knowledge of Python , including writing scripts, integrations, and debugging Understanding of Large Language Models (LLMs) , NLP, generative AI, and document AI pipelines Familiarity with model inference, prompt engineering, embedding, fine-tuning, or adaptation Experience in data processing, document parsing, OCR, structured / unstructured extraction (Plus) Experience in automation , pipelines, workflow orchestration (e.g. Airflow, Celery, etc.) Work with APIs (REST, GraphQL), data flows, ETL, and integration with customer systems (ERPs, TMS, databases) Operational & Support Duties Provide tier-2 / tier-3 technical support for escalated cases Track, document, and communicate issue status, root cause analysis (RCA), solution timeline Create and maintain technical documentation, runbooks, knowledge base articles Conduct internal knowledge sharing / training Occasionally travel (if required) for customer on-site visits or workshops
We are looking for an experienced Engineering Team Lead to spearhead the design and development of automation platforms and AI-driven systems built on Large Language Model (LLM) APIs . The ideal candidate is both a hands-on technical contributor and a strong people leader , capable of guiding a team of engineers to deliver scalable, reliable, and intelligent automation solutions. This role combines technical depth in Python and LLM integrations with leadership skills in managing complex projects, mentoring engineers, and driving execution in a fast-paced environment. Note that your working hours will be 2PM-11PM so that you can collaborate with USA team. Key Responsibilities Lead and mentor a team of software engineers developing automation and AI-powered applications. Define and oversee the technical architecture for LLM API integration and workflow automation. Collaborate with cross-functional teams including product managers, ML engineers, and operations to align on roadmap and deliverables. Establish best practices for code quality , testing, CI/CD, and deployment. Drive innovation in prompt engineering, model orchestration, and pipeline optimization . Manage project timelines, sprint planning , and resource allocation. Provide technical guidance in Python, API design, and distributed systems. Ensure LLM systems are developed with security, scalability, and cost-efficiency in mind. Stay ahead of emerging technologies and recommend tools or frameworks that can enhance team productivity.
Requirements Bachelors degree in Information Technology, Computer Science, or related field (or equivalent experience) 25 years of experience in IT administration or system support (startup or SME preferred) Proficiency with Windows, macOS, and common SaaS environments (Google Workspace, Azure AD, AWS, etc.) Solid understanding of networking concepts, firewalls, and VPNs Strong troubleshooting and problem-solving skills Excellent communication and documentation abilities Ability to work independently and manage multiple priorities in a fast-paced environment Key Responsibilities Manage and maintain all company IT assets (laptops, peripherals, licenses, etc.) Set up and configure new user accounts, logins, and access credentials across systems (e.g., email, cloud platforms, internal tools) Maintain inventory of hardware, software, and SaaS subscriptions Administer and troubleshoot networks, VPNs, and Wi-Fi access Implement and enforce IT security best practices (password management, MFA, data protection) Provide technical support and troubleshooting for employees (hardware, software, access issues) Coordinate with vendors and service providers for IT purchases and renewals Maintain documentation for systems, access control, and incident logs Assist with onboarding/offboarding processes from an IT perspective Support setup of collaboration tools (e.g., Slack, Google Workspace, Microsoft 365, Jira, etc.) Help design and implement scalable IT policies and procedures
We are seeking a skilled Senior Software Engineer - AI to design and develop automation software that leverages Large Language Model (LLM) APIs such as OpenAI, Anthropic, or similar frameworks. The ideal candidate will have a strong background in Python , API integration, and workflow automation, with a passion for building intelligent, efficient, and scalable systems. Key Responsibilities Design, develop, and maintain automation software and AI-driven workflows using LLM APIs. Build robust integrations between internal systems and third-party AI platforms. Develop scalable and reusable Python-based backend modules for API orchestration. Implement data pipelines and input/output validation layers for LLM interactions. Work closely with data scientists, ML engineers, and product teams to define use cases for LLM automation. Optimize API usage for performance, reliability, and cost-efficiency. Contribute to internal AI tooling, prompt engineering frameworks, and evaluation systems. Write clean, well-documented, and testable code. Stay updated with emerging trends in LLM technologies , APIs, and automation tools.
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