OutSystems Senior Developer

Job Title : ServiceNow Integration Developer

Experience : 6+ Years

Location : Remote/On-site (as applicable)

Summary :

• We are looking for an experienced ServiceNow Integration Developer to design, develop, and implement workflows, applications, and integrations on the ServiceNow platform.
• The ideal candidate will have hands-on expertise in Service Portal development and system integrations, combined with excellent problem-solving and communication skills.

Key Responsibilities :

• Design and develop workflows, applications, and integrations on the ServiceNow platform.
• Build and customize Service Portal to meet user requirements.
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
• Develop, test, and deploy scripts, workflows, and integrations.
• Create prototypes and mockups to demonstrate design solutions.
• Troubleshoot and resolve issues, ensuring seamless operation of ServiceNow solutions.
• Stay updated with the latest ServiceNow features, tools, and best practices.

Required Skills and Experience :

• ServiceNow Expertise: Strong experience in design, development, and customization of the ServiceNow platform.
• Integration Proficiency: Hands-on experience with platform integrations and Scripted REST APIs.
• Workflow Development: Proficient in using tools such as Workflow, Workflow Editor, and automation scripts.
• Service Portal Development: Proven experience in building and customizing Service Portals.
• Architecture Knowledge: Strong understanding of ServiceNow architecture, data models, and best practices.
• Problem-Solving: Excellent troubleshooting skills to resolve platform-related issues.
• Collaboration: Strong communication and interpersonal skills to work effectively with cross-functional teams.

Educational Qualifications :

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Why Join Us?

• Competitive compensation.
• Opportunity to work on cutting-edge ServiceNow solutions.
• Collaborative and growth-oriented work environment.

Role: SEO/Digital Marketing Expert

Exp: 3-4 Years

Budget: up to 30K

Location: Ahmedabad, WFO

Qualifications:

• 3-4 years of experience in SEO and digital marketing.
• Proven track record of success in achieving SEO and digital marketing goals.
• Strong understanding of SEO principles, including on-page, off-page, and technical SEO.
• Experience with Google Analytics, Google Search Console, and other relevant SEO tools.
• Experience with social media marketing platforms and advertising tools.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.