Job Description: Client is looking for a talented Mid-Level Salesforce Developer with expertise in Sales and Experience Cloud. Key Responsibilities: Design and develop custom Sales Cloud solutions to optimize Lead, Opportunity, and Account management. Automate workflows using Apex, Flow, and Process Builder. Integrate Sales Cloud with third party applications via REST/SOAP APIs. Optimize security models, including roles, sharing settings, and permissions. Build and customize Experience Cloud sites for customers, partners, or employees. Develop Lightning Web Components (LWC) and Experience Builder templates for interactive portals. Manage authentication & security (SSO, OAuth) and access controls. Enhance knowledge base, self-service options, and case management. Implement CI/CD pipelines, DevOps best practices, and version control (Git, SFDX). Stay updated on Salesforce releases and assess new features. Must Haves: 3-5+ years of Salesforce development experience, focusing on Sales Cloud and Experience Cloud (formerly Community Cloud) Proficiency in Apex, SOQL, Visualforce, Lightning Web Components (LWC), and JavaScript. Experience in Salesforce security models, including profiles, permission sets, and sharing rules. Hands-on experience with API integrations (REST, SOAP) and third-party applications. Familiarity with CI/CD pipelines and version control using Git/SFDX. Hands-on experience with Sales Cloud objects (Opportunities, Leads, Accounts, etc.) Proven expertise in Experience Cloud site customization, branding, and security. Experience in configuring community portals, access controls, and user authentication. PLEASE, ASK THE CANDIDATE FOR THEIR TRAILBLAZER ACCOUNT Nice to Haves: Salesforce Certifications (Salesforce Platform Developer I, Experience Cloud Consultant, or equivalent). Familiarity with AppExchange solutions and multi-cloud integrations. Show more Show less

We are looking for a motivated and curious Generative AI Engineer (Junior to Mid-Level) to join our growing Generative AI team. In this role, you’ll work closely with senior engineers to help develop and deploy cutting-edge generative AI systems across real business use cases. You'll contribute to solutions that integrate large language models (LLMs), embeddings, vector databases, and GenAI development frameworks. This is a hands-on role that offers the opportunity to work with production-grade GenAI technologies, grow your skill set, and have a real impact on user-facing AI features. Role and Responsibilities Typical duties and responsibilities for Gen-AI engineer position may include but not limited to: Support the fine-tuning, deployment, and integration of large language models (LLMs) and other generative models (e.g., GPT, Mistral). Build and maintain retrieval-augmented generation (RAG) pipelines using embeddings and vector databases like FAISS, Pinecone, or Chroma. Contribute to prompt engineering, schema design, and function calling logic to guide LLM behavior in production workflows. Work with GenAI development frameworks to build, orchestrate, route, and serve GenAI-powered features, workflows, and agents. Stay up to date with the latest advancements in generative AI, prompt tooling, and language model APIs. Participate in experiments exploring new architectures, model capabilities, and prompting techniques. Help evaluate model behaviors and document findings to support continual improvement. Work under the guidance of senior AI engineers and participate in code reviews, design discussions, and technical planning. Take ownership of well-scoped components and contribute to production releases. Embrace a learning-first environment and help foster a collaborative, transparent team culture. Collaborate with cross-functional teams (engineering, product, design) to deliver user-facing GenAI features. Implement backend APIs and services powered by LLMs, including local and cloud-hosted models. Support LLM observability efforts to track pipelines’ execution, logs, LLM calls, performance, latency, and failure cases. Assist in evaluating and mitigating bias, hallucination, and safety risks in generative AI systems. Ensure that outputs and user-facing AI behavior follow responsible AI principles and privacy standards. Knowledge sharing and culture building as we work in team structure, it is very essential to have the spirit of sharing the knowledge. Keep aligned with our team(s) coding and design standards. Ability to communicate and work well with others. Ability to deliver on time keeping a high quality of work. To quickly become an expert in our tech stack, specifically the systems relating to your role. Requesting training when required. Check in with your line manager and update on your progress. Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent hands-on experience). 2+ years of experience in software development or applied machine learning (including internships, research, or open-source contributions). Proven hands-on experience working with LLM APIs Practical exposure to embeddings , vector databases , and RAG workflows. Experience using core frameworks such as LangChain , LangGraph , LiteLLM , or Ollama . Proficiency in Python and familiarity with AI/ML libraries such as Hugging Face Transformers or PyTorch. Understanding of prompt engineering, output parsing, and function/tool calling with LLMs. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and semantic retrieval techniques. Basic understanding of structured outputs using Pydantic or JSON schema. Experience with LLM observability tools like LangSmith , LangFuse , Opik , etc.. Comfortable working with Git, APIs, and cloud platforms (AWS, GCP, etc.) Experience building or contributing to agentic workflows, multi-step LLM tools, or stateful AI agents is a Plus. Awareness of ethical AI challenges, bias mitigation, and model evaluation techniques is a Plus. Contributions to open-source AI projects or technical writing in the GenAI space is a Plus. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Excellent verbal and written English communication skills. High attention to detail, curiosity, and willingness to experiment and learn. Show more Show less

Job Description: Client is looking for a talented Mid-Level Salesforce Admin with expertise in Sales and Experience Cloud. Key Responsibilities: Design and develop custom Sales Cloud solutions to optimize Lead, Opportunity, and Account management. Automate workflows using Apex, Flow, and Process Builder. Integrate Sales Cloud with third party applications via REST/SOAP APIs. Optimize security models, including roles, sharing settings, and permissions. Build and customize Experience Cloud sites for customers, partners, or employees. Develop Lightning Web Components (LWC) and Experience Builder templates for interactive portals. Manage authentication & security (SSO, OAuth) and access controls. Enhance knowledge base, self-service options, and case management. Implement CI/CD pipelines, DevOps best practices, and version control (Git, SFDX). Stay updated on Salesforce releases and assess new features. Must Haves: 3-5+ years of Salesforce development experience, focusing on Sales Cloud and Experience Cloud (formerly Community Cloud) Proficiency in Apex, SOQL, Visualforce, Lightning Web Components (LWC), and JavaScript. Experience in Salesforce security models, including profiles, permission sets, and sharing rules. Hands-on experience with API integrations (REST, SOAP) and third-party applications. Familiarity with CI/CD pipelines and version control using Git/SFDX. Hands-on experience with Sales Cloud objects (Opportunities, Leads, Accounts, etc.) Proven expertise in Experience Cloud site customization, branding, and security. Experience in configuring community portals, access controls, and user authentication. Nice to Haves: Salesforce Certifications (Salesforce Platform Developer I, Experience Cloud Consultant, or equivalent). Familiarity with AppExchange solutions and multi-cloud integrations.

About the company The Functionary has brilliant and passionate people with the energy and ambition to succeed! If you are ready to make an immediate impact and you want to work with the best, then The Functionary may be the place for you. The Functionary is a leading provider of business process support services to consumers, small businesses, mid-market, and enterprise customers. The Functionary partners with retailers, OEMs, and distributors to provide support solutions to customers needing help with customer support, e-commerce operations, setup, connectivity, Internet of Things (IoT) devices, and cloud services. The Functionary has handled over 5 million support requests, delivering market-leading customer satisfaction scores, to empower customers to get the help they need when they need it. Job Summary: We are seeking a versatile and skilled Systems and Network Engineer to support our network and systems infrastructure. This role requires a professional with a proven track record in managing complex environments, who can confidently handle advanced monitoring, incident response, server and network device management, and execution of service requests. The engineer will handle a broad range of tasks across network operations, server administration, cloud services, and user management, while ensuring system health, security compliance, and timely issue resolution. Key Responsibilities: Monitoring & Incident Response Monitor WeWork network, servers, Nutanix environment, and cloud infrastructure via Zabbix and other tools. Perform initial triage of network incidents and escalate to WeWork’s Network Support team through approved channels (email, Slack, ITSM). Provide L1–L3 support for server, Nutanix, AWS, storage, and related systems. Escalation support for HQIT resources. Server & Network Administration Commission/decommission servers, appliances, network devices as per WeWork leadership guidance. Manage server configurations (CPU, RAM, Disk, GPO updates) and perform OVA installations. Resolve RDP and various remote connectivity protocol issues, conduct server log analysis, and perform root cause analysis (RCA). Troubleshooting and IAS log analysis for RADIUS and NPS issues. NPS Policy administration and auditing. Monthly patching and upgrades for Nutanix, AWS, and server environments. Address and resolve issues from penetration tests related to server infrastructure. User & Security Management Manage Domain Users, Service Accounts, and Security Groups. Handle user access requests and troubleshoot access issues. Infrastructure Management Manage ~128 server instances, 16 Nutanix services, and monitor 60 network devices. Monthly patching for key services (Radius, PowerBI, Alteryx, UIPath, SMTP, OKTA, Domain Controllers, etc.). Administer Active Directory, DNS, DHCP (Infoblox planned), SMTP, and Revit Licensing Servers. Manage ESXi and Nutanix clusters (hardware/software). Wi-Fi Device Administration Perform configuration and patches to Ruckus, Juniper Mist, and Cisco Wi-Fi devices following WeWork’s change management process. Documentation & Reporting Maintain system documentation and process guides. Monitor and manage ticket queues; update and resolve tickets per SLA. Provide quarterly effort utilization reports and participate in scope reviews. Requirements: 5+ years of experience in Systems and Network Engineering. Proficiency with monitoring tools (Zabbix), Nutanix, AWS, Active Directory, and network device management. Experience with Ruckus, Juniper Mist, and Cisco Wi-Fi device configuration and patching. Strong Cisco and Juniper networking and network security experience is essential. Very strong Extreme Wireless experience is highly desirable. Palo Alto firewall experience is a very nice to have. Familiarity with ITSM tools, Slack, and standard escalation protocols. Strong troubleshooting skills, attention to detail, and ability to work independently. Willingness to work in a flexible, 24/7 support environment. Excellent documentation, communication, and coordination skills. Preferred Qualifications: Nutanix and AWS certifications. Experience in a managed services or NOC environment. Exposure to security compliance and penetration test remediation.