Business development Intern

About the job

As a Senior SIP Engineer, you must take complete ownership of supporting all VoIP infrastructure, debugging issues related to specific servers or software, or remote clients such as SIP devices (both virtual such as soft-phone or WebRTC client, and physical such as a desk phone or an on-premise PBX), and providing fixes.

• Support customers during EST timezone during critical releases or emergency incidents 5+ yrs of supporting global VoIP services and/or applications on cloud-based servers.
• Expertise in SIP call flow analysis and debugging Expertise in setup and maintaining SIP-based monitoring, debugging, and alerting services
• Experience scripting call flow, dialplan, and custom routing with FreeSwitch using LUA and XML
• Experience in debugging Kamailio and Freeswitch-based applications is a must Good problem-solving and analytical skills Excellent written and verbal communication
• Experience working with open-source projects
• Exposure to SIP Carrier Integration
• Advanced Experience with cloud media infrastructure (load balancers, gateways, SBCs, STUN, TURN)
• Advanced Knowledge of all modern VoIP protocols/platforms including (SIP, RTP stack & SDP, RTCP, TCP, UDP, SIP, HTTPS, SSL/TLS)

About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Paid Media Lead

Experience Level: 5 + Years

Location: Bangalore, Karnataka (On-site)..

The ideal candidate will:

● Demonstrate an ability and willingness to learn new skills independently

● Possess the ability to communicate directly with clients, both verbally and in writing

● Have a strong analytical background

● Be detail oriented, highly organized, with a keen eye for consistency

● Be able to work effectively in a collaborative team environment, and independently as required

● Have a strong desire to learn and add value to the team

● Be solutions oriented

● Have worked within platforms including Google Ads, Google Analytics(GA4), Google Tag Manager, Bing Ads, Facebook Business Manager, Instagram Ads, LinkedIn Ads, Twitter Ads

Responsibilities:

● Develop and execute strategic marketing campaigns for clients across multiple media – paid

search, display, video, and social platforms

● Manage all aspects of campaign configuration, launch, and ongoing optimization – including

strategy, ad copywriting, data-based optimization, budget/billing management, and ad trafficking

● Troubleshoot, problem-solve, and find creative solutions to client-specific needs

● Assist creative team with ad creation through copywriting and strategic direction

● Identify optimization opportunities, including continuous testing of ad copy and landing pages,

including A/B testing

● Ensure campaigns are meeting clearly defined conversion objectives

● Create and deliver meaningful analytics and reporting to monitor and show progress

● Maintain knowledge of industry best practices and new technologies

● Maintaining the team strength at all times

Requirements:

● 6+ years of experience in Paid Media.

● Proficiency in English both written and spoken.

● Result oriented performance.

● Excellent Communication & Analytical Skills.

● Should have a minimum of 4 years of agency experience

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

Responsibilities :

• Determine the scope based on requirements, designing and building security components, and testing efforts, including stating the scope of work, calculating the resources, required in delivering the services and advising the senior system engineer preparing the quotation
• Install and configure services as per the approved implementation plan
• Carry out technology, professional and maintenance support services as per scope within the stipulated duration/ timeline.
• Provide level 1/2 support (basic hardware break-fix & troubleshooting of hardware and software issues) for installed services
• Provide technical deliverables such as high-level design documents, user acceptance test (UAT) doc and as-built documentation
• Provide outstanding quality of service and meet predefined customer service level agreements (SLAs)
• Undergo technical training and obtain technical certifications that are required to meet suppliers' mandatory technical requirements
• Conduct knowledge transfer training (where required)

Knowledge, Skills and Experience :

• Minimum 3 years of relevant experience
• Certified in at least one of the technology domain (Infrastructure hardware and software, network, security)
• Expertise on any two firewalls Specially - Palo Alto, Checkpoint, Fortinet, WAF
• Strong technical knowledge on the assigned solution domain/product
• Expertise in enterprise security products implementation, migration and support.
• Implements security solutions infrastructure and/or application including the design, configuration, development, testing and deployment of security-related technologies such as Firewalls, WAF, LB , IDS/IP
• Strong interpersonal skills with a customer-centric attitude; oral and written communication skills
• Strong attention to technical details, priority management and planning skills
• Ability to work independently with little to no supervision
• Results-oriented
• Security Certifications such as CCNP/CCIE Security or CCSA/CCSE/CCCP/PCNSE/Fortinet NSE1/2/3/4 are desirable

What's In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives

Skills/Experience

Experience with complete flows involving timing closure of high speed digital design using scripting languages and design automation.

Has deep knowledge of Xilinx FPGA implementation and tools.

Experience in state of the art tools and flows.

Working knowledge in Verilog and System Verilog.

 Job Requirements

Bachelors in Electronics Engineering.

Strong knowledge of ASIC and/or FPGA design methodology and should be well versed in front-end design, simulation, and verification CAD tools.

Relevant FPGA/ASIC engineering design and verification experience is entertained.

Excellent verbal, written and communication skills are required.

Excellent follow-through, motivation, and persistence

Strong technical judgment and decision making abilities.

Knowledge of digital board design and signal integrity principles is a plus.