InfinitiBit

🚀 Hiring: 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 – 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬
📍 𝐅𝐮𝐥𝐥-𝐓𝐢𝐦𝐞 · 𝐇𝐲𝐛𝐫𝐢𝐝· 𝐁𝐚𝐧𝐠𝐥𝐚𝐝𝐞𝐬𝐡

We’re looking for a seasoned 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 to own the strategy, development, and growth of our AI-powered platforms. You will work at the intersection of customer insight, product vision, and delivery ex*****on — turning ambiguous business problems into clear, impactful product direction.
If you enjoy working at the frontier of AI and building solutions that drive real business value, this role is for you.

🔹 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

📊 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 & 𝐑𝐨𝐚𝐝𝐦𝐚𝐩
• Define and own product vision, strategy, and roadmap for the Tax Intelligence Platform and GraphBit ecosystem
• Identify customer needs, market opportunities, and product innovation areas
• Prioritize features based on business value, customer feedback, and feasibility
• Maintain product roadmaps aligned with organizational goals

🤝 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 & 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
• Act as the primary interface between customers and delivery teams
• Conduct discovery sessions, workshops, and requirement-gathering activities
• Translate customer pain points into user stories and product requirements
• Manage stakeholder expectations and communicate progress, risks, and roadmap updates
• Support pre-sales, demos, and solution discussions

🚀 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 & 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
• Collaborate with engineering, AI, UX, and delivery teams for product ex*****on
• Define and manage backlogs, epics, user stories, and acceptance criteria
• Lead sprint planning, backlog refinement, and release planning
• Ensure product quality through validation, testing, and user feedback
• Track delivery milestones and manage risks, dependencies, and scope
• Drive adoption of AI, Generative AI, Agentic AI, RAG, and workflow automation
• Define AI use cases for document intelligence, compliance, risk, and reporting solutions

🌟 𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐔𝐬
• Work on one of the most ambitious AI products in Europe
• Join a small, expert team where your impact is immediate
• Fast ex*****on from idea to production
• Competitive compensation and growth opportunities
• Flexible and growth-oriented culture
• Access to learning resources and training support
• Be part of a fast-growing global digital solutions company

📩 𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲: Send your CV to [email protected]
Subject: “Product Engineer – Expecting (x) BDT – (x) years experience – (x) days notice”

💡 𝐁𝐨𝐧𝐮𝐬: To stand out, include a short example of a business task you think can be fully handled by an AI agent and how you would design it.

🚀 We're Hiring: 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
📍 𝐅𝐮𝐥𝐥-𝐓𝐢𝐦𝐞 · 𝐇𝐲𝐛𝐫𝐢𝐝· 𝐁𝐚𝐧𝐠𝐥𝐚𝐝𝐞𝐬𝐡

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞
As a Product Engineer, you'll own features end-to-end—from understanding customer problems and participating in discovery sessions to designing, building, deploying, and improving solutions based on real-world usage. You'll work closely with founders, field deployment engineers, and customers, with significant autonomy and direct influence on product decisions.

🔹 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐎𝐰𝐧

𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩
• Take product requirements from vague problem statements to production-ready solutions
• Define scope, design architecture, implement features, and validate outcomes
• Maintain and improve the features you ship in production

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠
• Participate in customer discovery and work closely with field deployment engineers
• Understand real-world usage patterns and customer pain points
• Think beyond implementation details and consider the complete user journey
• Challenge requirements and propose better solutions when appropriate

𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧
• Build across frontend, backend, APIs, databases, and cloud infrastructure
• Write clean, maintainable, tested, and production-quality code
• Make pragmatic trade-offs between speed, quality, and business value

𝐂𝐫𝐨𝐬𝐬-𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧
• Partner closely with deployment and support teams
• Design configurable and extensible solutions for enterprise customers
• Turn customer feedback and operational insights into product improvements

⭐ 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬s
• Experience building custom agent orchestration systems beyond off-the-shelf frameworks
• Exposure to enterprise deployment models, including hybrid or on-premise environments
• Familiarity with Microsoft 365, Azure AI Services, enterprise integrations, and Microsoft identity platforms

⚠️ 𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐑𝐨𝐥𝐞 𝐈𝐬 𝐍𝐨𝐭
This is not a feature factory role where success is measured by the number of tickets closed. We're looking for engineers who understand how AI agents work in production and can build exceptional products around that understanding.

📩𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲: Submit your CV to [email protected] with the subject: “Product Engineer – Expecting (x) BDT – (x) years experience – (x) days notice.”

𝗧𝗮𝗸𝗲 𝟮-𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘁𝗼 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘁𝗵𝗲 𝗦𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: https://lnkd.in/gdewWQTq

⚠️ 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗯𝗲 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗱.

Eid ul Adha reminds us that the greatest acts are rooted in sacrifice.

Not every sacrifice is seen, but every sincere one carries deep meaning.

May this Eid ul Adha bring peace to your soul and abundant blessings to your life.

Eid Mubarak from the InfinitiBit family.

🚀 𝐖𝐞’𝐫𝐞 𝐇𝐢𝐫𝐢𝐧𝐠 | 𝐒𝐫. 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
📍 Hybrid | Full-Time | Bangladesh

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞
We are looking for a Sr. Backend Engineer to lead the architecture and hands-on engineering of our production-grade SaaS platform.
This is not a whiteboard-only role. You will design systems, make architectural decisions, write and review production code, and help the engineering team ship scalable and reliable software.
The ideal candidate has experience taking SaaS products from architecture to deployment and understands the challenges of operating systems at scale.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
▸ Platform Architecture & Engineering
– Own system architecture, APIs, service boundaries, and integration patterns
– Write production-quality backend code and contribute across the development lifecycle
– Define architecture standards, scalability patterns, and engineering best practices

▸ Technical Leadership
– Conduct PR reviews focused on quality, scalability, and maintainability
– Guide developers with implementation planning and technical problem-solving
– Identify blockers early and help teams move efficiently

▸ SaaS Platform Ownership
– Design scalable multi-tenant systems with strong isolation and security
– Drive decisions around authentication, authorization, billing, usage metering, and platform reliability
– Collaborate with DevOps on infrastructure, CI/CD, deployments, and observability

𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬
– Node.js (TypeScript) and/or Python
– REST & GraphQL APIs
– Microservices & event-driven architecture
– PostgreSQL & Redis
– AWS, Docker, Kubernetes
– Terraform/CDK & CI/CD pipelines
– OAuth2, OIDC, JWT, RBAC/ABAC
– Production monitoring, logging, tracing, and resilience patterns

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
– Experience with AI/LLM integrations (RAG, AI workflows, agentic systems)
– Rust experience for backend or performance-critical services
– PLG SaaS, usage-based billing, or self-serve onboarding experience
– Startup or high-growth environment experience

⚠️This is not a people management role. Your impact will come from technical leadership, architecture decisions, and engineering excellence.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐜𝐞𝐬𝐬
📩 Send your CV to: [email protected] with the Subject:
“Sr. Backend Engineer – Expecting (x) BDT – (x) years experience – (x) days notice.”

🗓 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 𝟑𝟏 𝐌𝐚𝐲 𝟐𝟎𝟐𝟔

🚀 We’re Hiring: 𝐒𝐫. 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫

Individual Contributor · Full-Time · Hybrid

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞

We are looking for a Sr. Full Stack Engineer to own the architecture and hands-on engineering of our SaaS platform. You will define system design, make key architectural decisions, and contribute to production code.

You will work across the stack while driving scalability, reliability, and long-term system design.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

🔹 Platform Architecture & Design

➔ Own system design, service boundaries, data models, APIs, integrations

➔ Make architectural decisions with tradeoffs and long-term maintainability

➔ Define and enforce engineering standards

🔹 Hands-On Engineering

➔ Write production code across frontend, backend, APIs, and infrastructure

➔ Set standards for code quality, performance, and testability

🔹 Technical Leadership

➔ Lead PR reviews (architecture + code quality)

➔ Guide developers with clear design and implementation direction

➔ Resolve technical blockers early

🔹 SaaS Platform Ownership

➔ Design for multi-tenancy, scalability, and isolation

➔ Own availability, security, performance, cost efficiency

➔ Drive auth, billing, usage metering, tenant configuration

🔹 Collaboration

➔ Translate product requirements into technical designs

➔ Work with DevOps on CI/CD, deployment, observability

➔ Communicate architecture clearly

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

➔ CS/Engineering degree or equivalent

🔹SaaS Experience

➔ Built and operated production SaaS platforms end-to-end

➔ Strong in multi-tenancy, isolation, SaaS tradeoffs

➔ Experience with billing, RBAC, rate limiting, usage metering

🔹Frontend

➔ React (TypeScript), scalable architecture

➔ Build tools: Vite/Webpack

🔹Backend

➔ Node.js (TypeScript) and/or Python

➔ REST/GraphQL APIs, microservices, event-driven systems

➔ API design: versioning, pagination, backward compatibility

🔹Data

➔ PostgreSQL (schema, performance), Redis (caching, rate limiting)

➔ Tenant-aware data access patterns

🔹Cloud & Infra

➔ AWS (or equivalent), Docker, Kubernetes

➔ IaC (Terraform/CDK), CI/CD pipelines

🔹Security

➔ OAuth2, JWT, RBAC

➔ Secure coding, OWASP basics

🔹Production Mindset

➔ Experience running systems in production

➔ Observability (logs, metrics, tracing)

➔ Handling failures and system reliability

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

➔ AI/LLM integration in SaaS

➔ Platform engineering experience

➔ Rust (performance systems)

➔ PLG SaaS (freemium, usage-based billing)

⚠️ This Role Is Not a People Management role🚫

𝐅𝐨𝐜𝐮𝐬:

✔ Architecture

✔ System design

✔ Technical depth

✔ Engineering ex*****on

📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 𝟏𝟓𝐭𝐡 𝐌𝐚𝐲 𝟐𝟎𝟐𝟔

💡 Apply at 𝐡𝐫@𝐢𝐧𝐟𝐢𝐧𝐢𝐭𝐢𝐛𝐢𝐭.𝐜𝐨𝐦 with the Subject line: “𝐒𝐫. 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 – 𝐄𝐱𝐩𝐞𝐜𝐭𝐢𝐧𝐠 (𝐱) 𝐁𝐃𝐓 – (𝐱) 𝐲𝐫𝐬 – (𝐱) 𝐝𝐚𝐲𝐬 𝐧𝐨𝐭𝐢𝐜𝐞”

🚀 We’re Hiring: 𝐒𝐫. 𝐀𝐈 & 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫

Individual Contributor · Full-Time · Hybrid

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞

We are looking for a Sr. AI Engineer to design and build production-grade agentic AI systems end-to-end. This is a deeply technical, hands-on role owning architecture, development, deployment, and operations of complex AI systems. You will work on real-world agentic pipelines, RAG systems, and LLM-driven architectures with strong focus on reliability, scalability, and system design from first principles.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

🔹 Agentic System Design

➔ Architect multi-agent systems with structured context flows, memory strategies, tool-use patterns

➔ Design deterministic, observable orchestration layers (LangGraph or custom)

🔹 Context Engineering

➔ Own prompt architecture, context window management, and RAG pipelines

➔ Optimize retrieval systems (hybrid search, re-ranking, chunking)

🔹 MCP & Tool Integration

➔ Build MCP servers and external tool integrations

➔ Design tool-call schemas, fallback strategies, error recovery

🔹 Full-Cycle Engineering

➔ Build backend services, agent runtimes, APIs, data pipelines

➔ Own deployment, monitoring, observability (traces, evals, latency), incident response

🔹 Technical Leadership

➔ Drive architecture decisions, design reviews, engineering standards

➔ Work with product & engineering to translate requirements into scalable systems

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

➔ Bachelor’s/Master’s in CS, Engineering, or equivalent

➔ Daily use of AI tools (Claude Code, Cursor, etc.)

🔹Core: Python (async, typing, performance), Rust (plus)

🔹Agentic AI & LLM Systems: LangChain, LlamaIndex, LangGraph, MCP, context engineering, RAG (Pinecone/Weaviate/pgvector), agent evals, observability (LangFuse/LangSmith)

🔹Machine Learning: Full ML lifecycle (EDA → deployment), metrics (F1, AUC-ROC), PyTorch, Scikit-learn, XGBoost, HuggingFace, validation (leakage, drift, A/B testing)

🔹Backend & Infra: FastAPI, async systems, streaming, retries, rate limiting, AWS/Azure, Docker

🔹Data & Systems: PostgreSQL/pgvector, Redis, MongoDB, Kafka

𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞

➔ Shipped agentic AI systems in production (not prototypes)

➔ Fixed latency, cost, and reliability issues in LLM systems

➔ Built regression evaluation frameworks

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

➔ Long-context models, LoRA/QLoRA, distillation

➔ Multi-modal agents

➔ Rust for performance systems

➔ Open-source/research work

➔ Startup/high-growth experience

⚠️ 🚫This Is Not a People Management Role

𝐅𝐨𝐜𝐮𝐬:

✔ System design

✔ Architecture

✔ Technical depth

✔ Engineering ex*****on

📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 𝟏𝟓𝐭𝐡 𝐌𝐚𝐲 𝟐𝟎𝟐𝟔

💡 Apply at 𝐡𝐫@𝐢𝐧𝐟𝐢𝐧𝐢𝐭𝐢𝐛𝐢𝐭.𝐜𝐨𝐦 with the Subject: “𝐒𝐫. 𝐀𝐈 & 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 – 𝐄𝐱𝐩𝐞𝐜𝐭𝐢𝐧𝐠 (𝐱) 𝐁𝐃𝐓 – (𝐱) 𝐲𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 – (𝐱) 𝐝𝐚𝐲𝐬 𝐧𝐨𝐭𝐢𝐜𝐞”

𝐖𝐞𝐥𝐜𝐨𝐦𝐢𝐧𝐠 𝐁𝐚𝐧𝐠𝐥𝐚 𝐍𝐞𝐰 𝐘𝐞𝐚𝐫 𝟏𝟒𝟑𝟑 𝐰𝐢𝐭𝐡 𝐂𝐮𝐥𝐭𝐮𝐫𝐞, 𝐂𝐨𝐥𝐨𝐫 & 𝐂𝐨𝐝𝐞 🌼

At InfinitiBit, Pohela Boishakh wasn’t just a celebration—it was where tradition met innovation. Our workspace transformed into a vibrant canvas of Bengali heritage, as our team showed up in traditional attire, bringing culture to life in the most colorful way.

Between conversations on AI and moments of laughter, we shared local flavors, stories, and the spirit that connects us beyond work.

Because for us, building the future with technology starts with staying rooted in who we are.

»» বাংলা নববর্ষ ১৪৩৩ 🎉►

Old roots. New code.

ঐতিহ্য আমাদের ভিত্তি,

𝐀𝐈 আমাদের গতি।

Let’s upgrade the future.

Proud to Announce 𝐎𝐮𝐫 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲 𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐌𝐨𝐧𝐭𝐡 – 𝐒 𝐊 𝐙𝐨𝐛𝐚𝐢𝐝 𝐔𝐫 𝐑𝐚𝐡𝐦𝐚𝐧, in recognition of his exceptional dedication and remarkable contributions.

𝐖𝐞𝐚𝐫 𝐘𝐨𝐮𝐫 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡.
Strength shows up in many ways — through leadership, creativity, resilience, and the courage to keep moving forward.
This International Women’s Day, we celebrate the women who inspire progress and shape the future every day.