Inside Sales Executive

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Company Name: GBH Auto Mechanics Services LLP

Job Profile: Business Development Manager

Job Description

We're seeking a qualified and motivated Business Development Manager who is responsible for developing the sales team. As a remote worker, building good customer relationships, and closing deals for our annual car and bike subscription products. Auto Mechanics is a growing company that prides itself on the quality of its products and its commitment to customer satisfaction. Our team is passionate about what we do and we strive to achieve excellence in every aspect of the business. The successful candidate will be an integral part of our dynamic team and will be responsible for driving our growth through effective sales strategies.

Requirement & Skills

Develop a growth strategy focused both on financial gain and customer satisfaction Communication and negotiation skills Proven sales track recordAbility to build rapport

Experience: 6 - 10 years

Job Location: Work from home

Selection process:- HR round & Manager round

Qualification: BA in business administration or a related field/Graduation

Working days: 6 working days (Sundays off)

Shifts: 10:00 am - 7:00 pm

Mandatory language: English

Laptop: candidates are to use their own laptops.Additional Compensation: If applicable, this will be decided based on your designation

Job Title: Accounts Executive

Job Summary:

The Accounts Executive will provide essential support to the Financial Controller in managing and maintaining the financial accounting system and records. The role involves preparing financial statements, offering financial advice and support, and collaborating with internal and external auditors. The position requires flexible working hours aligned with the Kuala Lumpur time zone (7.30 a.m - 4 p.m).

Responsibilities:

- Collaborate with the Financial Controller to manage and maintain the financial accounting system and records.

- Prepare monthly management accounts.

- Adhere to flexible working hours according to the Kuala Lumpur time zone (7.30 a.m - 4 p.m).

- Liaise with both internal and external auditors.

- Provide other financial advice and support as needed .

Qualifications:

- M.com Graduate.

- Preference for candidates pursuing CA/CMA/ICW certification.

- Must have at least 3 years of accounting experience, preferably in auditing.

- Possess extensive knowledge of financial nuances.

-Immediate joiners are preferred.

Compensation:

The Annual salary for this position is in the range of 3 to 3.5 LPA (Indian Rupees).

Technical Requirement

• Candidate should have some expertise on Magento 2.X
• Software programming for Magento 2.X to build extensions, widgets, custom integrations
• Strong understanding of the Magento 2.X System Architecture, Design, Theming, Functionality, Enhancements, Configuration.
• Create and customize Magento 2.X themes including templates, layouts, CSS, Javascript, and other components of the front end of a Magento 2.X site
• Uses the Admin Panel to implement design-related system configuration and modify the appearance of specific pages (for instance, CMS, categories, and products)
• Use Business Processes in Magento 2.X such as Structure of catalog, indexes, promotions, price generation logic, Architecture of checkout, payment/shipment methods, sales/order processing
• Good knowledge of MVC/PHP/Ajax. Jquery, Json