international sales executive

Key Responsibilities:

 - Develop and customize OpenWrt build systems for operator-specific router distributions

 - Build high-performance network stacks and middleware for Wi-Fi 6/7 & 5G-FWA routers

 - Implement TR-181/USP/TR-369 device management standards for global operators

 - Design scalable, modular embedded Linux systems for complex CPE environments

 - Debug and resolve critical issues: kernel panics, memory leaks, race conditions

 - Collaborate with hardware and product teams to deliver carrier-grade solutions

Must-Have Skills:

 - OpenWrt Proficiency: Customizing build systems, package configurations, feeds

 - Programming: Advanced C/C++ for resource-efficient, high-performance networking

 - Network Stack & Protocols:

   - IPv4/IPv6: Dual-stack, DHCPv4/v6, SLAAC, Prefix Delegation, MAP-T/E, DS-Lite

   - L2/L3: Linux Bridge, VLAN 802.1Q/QinQ, SoC hardware offloading

   - Routing: Multi-WAN, Failover, Policy-Based Routing, IGMP/MLD Snooping/Proxy

 - Device Management: TR-181/TR-098 data models, USP/TR-369 experience

 - Debugging: GDB, Valgrind, JTAG, Wireshark, Tcpdump

 - System Design: Defining software interfaces & integrating cross-platform middleware

Preferred Qualifications:

 - Hands-on with Airoha SDKs & MediaTek WiFi drivers

 - Familiarity with RDK-B, prplOS, prplLCM

 - QoS/QoE: Traffic Shaping - tc, HTB, FQ_CoDEL, DPI, traffic classification for Gaming/VoIP

 - Security: Firewall4/Nftables, Iptables, VPN - WireGuard, IPsec, hardware crypto-acceleration

Product Manager – AI Go-to-Market (GTM)

You know that feeling when you see a product not just built, but truly adopted? That’s what this role is about.

We built something that turns the endless scroll of social video into business intelligence. The product is already strong — now it’s time to take it to market, scale adoption, and own how it reaches the world.

This isn’t another PM role. This is where you become the strategist who shapes how AI meets the market.

Who We Are

Our team is small, global, and moves fast. Not startup-fast. Not “we say we’re agile” fast. Actually fast.

We ship meaningful features in days, and now we need someone who can do the same on the market side.

The people here don’t just work with AI — they think in AI. They dream in Python. They know how to build.

What we’re missing is the person who knows how to launch, position, and scale.

What We Need

We need someone who’s lived the GTM life.

Someone who has:

• Shaped go-to-market strategies across multiple channels.
• Crafted positioning, messaging, and pricing that drove adoption.
• Partnered with sales & marketing to accelerate pipeline and conversion.
• Translated market insights into product direction.

You don’t need to be taught what adoption metrics look like. You don’t need to “grow into” GTM strategy. You already know these things so deeply that you can focus on the only thing that matters: getting AI into the hands of people who can’t live without it.

Who You Are

• Strong IT/product foundation with a track record in launching AI/tech products.
• An AI believer who sees how it will reshape industries.
• Obsessed with channels, adoption, differentiation, and growth loops.
• Someone who thrives where market execution meets product credibility.

The Reality

The work is beautifully challenging. The pace is intense in the best way. The problems are complex but worth solving. And the team? They care deeply.

If you get your energy from taking innovation to market and building adoption strategies that matter, you’ll probably fall in love with what we do here. If you prefer more structure or slower rhythms, this might not align — and that’s completely valid.

How to Apply

If you’re reading this thinking “finally, somewhere that gets it” — we’d love to see something you’ve launched. Not a resume. Not a cover letter. Show us proof of how you’ve taken a product to market.

We’re excited to see what you’ve built and have a real conversation about whether this could be magic for both of us.

AI/ML Engineer (GenAI | LangChain | RAG | Python)

Location: Pune (Onsite/Hybrid)

Experience: 1–3 Years

Employment Type: Full-Time

About the Role

We are looking for a passionate and hands-on AI/ML Engineer to join our growing engineering team. This role focuses on building production-grade AI-powered applications using modern Generative AI frameworks, Large Language Models (LLMs), backend technologies, and orchestration workflows.

The ideal candidate should have strong Python development skills along with practical experience working with LangChain, LangGraph, Vector Databases, Embeddings, and Retrieval-Augmented Generation (RAG) architectures. You will collaborate with senior engineers to design, develop, and deploy scalable AI solutions for enterprise applications.

Key Responsibilities

• Develop and maintain AI-powered applications using Python and FastAPI.
• Design and implement LangChain and LangGraph-based LLM workflows.
• Build and manage Vector Database integrations for embeddings and semantic search.
• Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent applications.
• Create reusable backend APIs and AI orchestration services.
• Write clean, maintainable, and production-ready code.
• Collaborate with engineering teams on AI solution architecture and implementation.
• Participate in code reviews, debugging, testing, and performance optimization.
• Integrate AI services into enterprise software applications.
• Contribute to prompt engineering, embedding optimization, and workflow improvements.

Required Skills

• 1–3 years of hands-on software development experience.
• Strong proficiency in Python programming.
• Experience building REST APIs using FastAPI.
• Hands-on experience with LangChain and LangGraph.
• Understanding of Large Language Models (LLMs) and prompt engineering.
• Experience working with Vector Databases and embedding-based search.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Git and CI/CD practices.
• Strong debugging, analytical, and problem-solving skills.
• Understanding of software engineering best practices and clean coding principles.

Preferred Skills

• Exposure to AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Understanding of AI Agent workflows and autonomous systems.
• Basic knowledge of Machine Learning concepts.
• Experience with embedding optimization and inference pipelines.
• Familiarity with scalable AI backend architectures.
• Exposure to enterprise AI integrations and deployment workflows.

Ideal Candidate Profile

• Engineers with hands-on experience building AI-powered applications.
• Developers working on GenAI, LLM, Agentic AI, or RAG-based solutions.
• Python backend developers looking to transition into AI Engineering.
• Candidates with practical implementation experience using LangChain and Vector Databases.
• Engineers passionate about building scalable, production-grade AI systems.

Eligibility Criteria

• Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 1–3 years of professional development experience.
• Strong coding, debugging, and problem-solving capabilities.
• Ability to work from Pune office as per business requirements.

Important Note

This is a practical implementation-focused role. Candidates will be evaluated based on real-world AI engineering experience, project ownership, debugging maturity, and practical understanding of AI workflows. Tutorial-only exposure to GenAI tools, LangChain, or LLMs will not be considered sufficient.

If you're excited about building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, we'd love to hear from you.

We are looking for a detail-oriented Manual Tester to join our QA team. This role is ideal for freshers or candidates with up to 1 year of experience who are eager to build a career in software testing and quality assurance.

Key Responsibilities

• Understand application requirements and functional specifications
• Execute manual test cases for web and/or mobile applications
• Perform functional, regression, smoke, and sanity testing
• Identify, document, and track bugs clearly
• Work closely with developers to reproduce and verify fixes
• Retest resolved issues and ensure quality before releases
• Participate in basic test planning and reporting activities
• Ensure applications meet expected quality standards

Experience:

The candidate should have about 2+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and distributed System is mandatory.

Required Skills:

Mandatory: -

1. Core Java or Scala
2. Experience in Big Data, Spark
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Should have the ability to analyze, design, develop and test complexity of spark job.
5. Working knowledge of Unix/Linux.
6. Hands on experience in Spark, creating RDD, applying operation - transformation-action

Good To have: -

1. Python
2. Spark streaming
3. Py Spark
4. Azure/AWS Cloud Knowledge of Data Storage and Compute side

Hiring for 5 positions (4-7 yrs - 4 positions, 7-10 yrs - Lead role, single position)
Notice Period: 30 days or less (Strictly)

Skills:

- Strong experience in front end development (3+ yrs)

- Vue.js experience alone has to be 2+ yrs

• Preparing JD understanding the needs of hiring manager as well to ask questions that will help you identify the right candidate(s).
• Screen for basic competence of candidates against a technical job description
• Responsible for full-cycle recruiting: interview, offer, negotiation and close candidates for assigned requisitions.
• Identify & Sourcing candidates through various channels Job boards, LinkedIn, cold calls, Technology forums, as well as the database acquired and Buddy referrals as per the requirements of the company standards.
• Generate Recruitment Dashboard periodically & Maintain MIS. on Talent Acquisition activities
• On boarding of new joiners
• Support and advise on HR policy, ensure compliance to the company's policies.
• Serve as an escalation point for personnel and employee relations issues.
• Handling HRMS.
• Update management on a variety of matters including absence, poor performance and manage terminations
• Research attrition/retention, analysing trends thorough headcount and exit data and recommending appropriate course of action.
• Leave and Attendance management Organise Corporate events and other employee engagement activities
• Organise Corporate events and other employee engagement activities