11+ Government Jobs in India

Male candidates only. This position is based out of Bommasandra, Bangalore.

Core Responsibilities

Strategic Planning: Develop and execute integrated sales and marketing plans for EMC Products, Resistors, Heating elements and other products in company product line-up to meet defined revenue targets.

Lead Generation & Prospecting: Independently source new business opportunities

Campaign Management: Design, implement, and monitor marketing campaigns

Client Relationship Management: Maintain a portfolio of existing accounts, ensuring high customer satisfaction and identifying opportunities for upselling or cross-selling.

Market Intelligence: Conduct regular competitor analysis and research market trends to adjust pricing strategies and product positioning.

Sales Presentations: Deliver persuasive, tailored product demonstrations and proposals to high-ticket decision-makers (CEOs, CFOs, etc.).

Performance Analytics: Track and report on KPIs such as lead conversion rates, demo-to-close ratios, and ROI of marketing spend using CRM and analytics tools. 

Being in update ongoing & upcoming defence projects and finding opportunities with DRDOs, PSUs (BEL,BEML,ECIL,HAL,HVF,etc), Other defence equipment manufacturing companies to Pitch our products for their application.

Key Skills & Qualifications (2026 Standards)

Education: Bachelor’s degree in Engineer (Electrical, Electronics, Communication) , or MBA

Experience: 2 to 3 years of proven success in a B2B or B2C sales/marketing environment.

Technical Proficiency: Hands-on experience with CRM software, MS Office, Etc

Preference will be given for candidates with Defence product background.

Soft Skills

Consultative Selling: Shifting from "presenting" to problem-solving and acting as a trusted advisor.

Negotiation: Proven ability to handle complex objections and close high-value deals.

Adaptability: Ability to quickly pivot strategies based on shifting consumer behaviours and algorithm updates. 

Role Purpose:

To handle day-to-day HR activities and support smooth people operations in the company.

Key Responsibilities

• Handle recruitment: sourcing, calling, scheduling interviews
• Support onboarding and employee joining formalities
• Maintain employee records and HR documents
• Track attendance, leave, and basic payroll support
• Coordinate with department heads for HR requirements
• Support employee engagement activities
• Assist in handling employee issues and grievances
• Ensure HR policies are followed

Role: Marketing Executive

Key Responsibilities:

1. Manage and grow B2B-focused social media presence

2. Build and nurture industry, media, and influencer relationships within the B2B ecosystem

3. Plan and execute B2B events, partnerships, and collaborations

4. Drive brand visibility among business leaders, decision-makers, and partners

5. Work closely with internal teams for aligned brand communication

6. Track engagement, reach, and PR outcomes and share insights

Requirements:

1. 0.5–2 years of experience in social media, PR, or brand communications (fresh talent welcome)

2. Exposure to or strong interest in B2B branding and networking

3. Comfortable engaging with CXOs, founders, and business professionals

4. Strong communication and relationship-building skills

5. High ownership mindset with the ability to work independently

Role Overview:

As a Senior Full Stack Developer with React, you will be responsible for architecting, developing, and maintaining scalable backend services and user-friendly frontend interfaces. You will collaborate closely with cross-functional teams to deliver high-quality software solutions that meet our business goals and client needs. Your expertise will be vital in guiding the technical direction of our projects and mentoring junior developers.

Job Description

Job Title: Techno - Functional Project Manager

Location: Mumbai

Experience: 5+ Years

Qualification- B.E /B.Tech in Computer Science or M.E/M.Tech in Computer Science

Key Responsibilities:

1. Strong Technical experience in Node/ Nest JS & React native/Java  and oracle/ MY SQL
2. Should have worked in BFSI preferably banking domain
3. Should have handled large or complex projects and should be able to manage multiple project track activities independently
4. Experience in mobile native apps /web development as well as should have strong problem solving skills.
5. Strong analytical capabilities as well should have some experience on measuring performance of application at design stage.
6. Should have hands on experience on mobile apps and web apps development and designing skills.
7. Vendor management and should be capable of designing API specification and application functional flow.
8. Should have hands on experience on SQL/ oracle db queries and db design. Experience on AWS/Azure Cloud would be an added advantage

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.

JD Code: SHI-LDE-01 

Version#: 1.0 

Date of JD Creation: 27-March-2023 

Position Title: Lead Data Engineer 

Reporting to: Technical Director 

Location: Bangalore Urban, India (on-site) 

SmartHub.ai (www.smarthub.ai) is a fast-growing Startup headquartered in Palo Alto, CA, and with offices in Seattle and Bangalore. We operate at the intersection of AI, IoT & Edge Computing. With strategic investments from leaders in infrastructure & data management, SmartHub.ai is redefining the Edge IoT space. Our “Software Defined Edge” products help enterprises rapidly accelerate their Edge Infrastructure Management & Intelligence. We empower enterprises to leverage their Edge environment to increase revenue, efficiency of operations, manage safety and digital risks by using Edge and AI technologies. 

SmartHub is an equal opportunity employer and will always be committed to nurture a workplace culture that supports, inspires and respects all individuals, encourages employees to bring their best selves to work, laugh and share. We seek builders who hail from a variety of backgrounds, perspectives and skills to join our team.  

Summary 

This role requires the candidate to translate business and product requirements to build, maintain, optimize data systems which can be relational or non-relational in nature. The candidate is expected to tune and analyse the data including from a short and long-term trend analysis and reporting, AI/ML uses cases. 

We are looking for a talented technical professional with at least 8 years of proven experience in owning, architecting, designing, operating and optimising databases that are used for large scale analytics and reports. 

Responsibilities 

• Provide technical & architectural leadership for the next generation of product development. 
• Innovate, Research & Evaluate new technologies and tools for a quality output. 
• Architect, Design and Implement ensuring scalability, performance and security. 
• Code and implement new algorithms to solve complex problems. 
• Analyze complex data, develop, optimize and transform large data sets both structured and unstructured. 
• Ability to deploy and administrator the database and continuously tuning for performance especially container orchestration stacks such as Kubernetes  
• Develop analytical models and solutions Mentor Junior members technically in Architecture, Designing and robust Coding. 
• Work in an Agile development environment while continuously evaluating and improvising engineering processes 

Required 

• At least 8 years of experience with significant depth in designing and building scalable distributed database systems for enterprise class products, experience of working in product development companies. 
• Should have been feature/component lead for several complex features involving large datasets. 
• Strong background in relational and non-relational database like Postgres, MongoDB, Hadoop etl. 
• Deep exp database optimization, tuning ertise in SQL, Time Series Databases, Apache Drill, HDFS, Spark are good to have 
• Excellent analytical and problem-solving skill sets. 
• Experience in  for high throughput is highly desirable 
• Exposure to database provisioning in Kubernetes/non-Kubernetes environments, configuration and tuning in a highly available mode. 
• Demonstrated ability to provide technical leadership and mentoring to the team