What You'll Get To Do:

• Design, build, and maintain internal tools and AI-powered applications that enable data teams and business stakeholders — including chatbots that allow analysts and non-technical users to query and explore data through natural language.
• Deploy and operate Python-based applications using Docker and Kubernetes, ensuring reliability and maintainability.
• Collaborate with data engineers and analysts to understand workflows and translate them into software solutions that remove friction and multiply impact.
• Integrate large language model (LLM) APIs and AI tooling into internal products in thoughtful, practical ways.
• Participate in technical design discussions, write specs, and bring fresh ideas about how software and AI can solve real organizational problems.
• Contribute to engineering best practices on a data team that is growing its software culture.

You Might Be a Good Fit If You Have:

Technical Background

• 3+ years of experience in software engineering, with a background that includes data engineering, data analysis, analytics engineering, or data science.

• Strong proficiency in Python; comfortable writing clean, tested, production-quality code.

• Experience deploying applications using Docker containers and cloud infrastructure (AWS preferred).

• Hands-on experience building or maintaining data pipelines, ETL workflows, or similar data infrastructure.

• Familiarity with SQL and working with relational or columnar databases.

• Experience building lightweight web applications or internal tools — Streamlit, Flask, FastAPI, or similar frameworks.

AI & Modern Tooling

• Required: Active, hands-on experience using AI coding assistants and LLM tools such as Claude, GitHub Copilot, Gemini, Cursor, or similar in your day-to-day engineering workflow.

• Required Experience (Professional or Personal): Experience with Pydantic AI, creating Agents, function calling, context compression, etc.

• Experience working with LLM APIs (Anthropic, OpenAI, etc.) and integrating AI capabilities into applications is a strong plus.

• Comfortable evaluating AI-generated code critically and iterating quickly with AI assistance.

Collaboration & Communication

• Ability to work closely with non-engineers (analysts, product managers, business stakeholders) to understand needs and translate them into software solutions.

• Excellent written and verbal communication skills.

• Experience or interest in helping a data-centric team grow its software engineering culture.

Nice To Have:

Prior experience building internal tooling, data products, or analyst-facing applications.
Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
Familiarity with dbt, Airflow, Spark, or other data engineering tools.
Experience with vector databases or retrieval-augmented generation (RAG) architectures.
Background in analytics engineering or working closely with BI tools (Tableau, Looker, etc.).

Education:

B.S. or M.S. in Computer Science, Data Science, Engineering, or a related field — or equivalent practical experience. We care more about what you've built than where you studied.

Location and Work Schedule:

• Working Days: Hybrid Monday to Friday (3 days from Home + 2 days from the Office)
• Working Hours: 1:00 PM to 10:00 PM
• Location: Uttara 12, Dhaka, Bangladesh

Salary Range:

• BDT 80,000 - 120,000 (Monthly)

Why we think you'll love it here:

At Field Nation, we believe great work deserves great support. Here’s a snapshot of the benefits designed to reward performance, support well-being and create an enjoyable workplace experience.

1. Compensation & Financial Rewards

Because hard work should feel like winning.

• Field Nation LLC Performance Reward – Because every citizen of Field Nation deserves a stake in the win!

• Festival Bonus – Celebrate the big festivals with some extra cheer (and cash!).

• Referral Bonus – Incentives for successful employee referrals.

• Gratuity – Honoring your long-term dedication

• Leave Encashment – Opportunity to encash unused annual leave balance at year-end.
  

2. Health & Wellness

Your body, mind, and family matter.

• Medical Insurance – Comprehensive health coverage for employees and their immediate family (spouse and children).

• Gym Membership – Stay fit, active, and energized.

3. Daily Operations & Office Perks

• Complimentary Lunch / Dinner – Because good work needs good food.

• Unlimited Tea & Coffee – Keep the energy flowing.

• Transportation – Helping you get to work hassle-free.

• Mobile Data Allowance – Allowances to ensure connectivity.

4. Professional Development

• Career Development Budget – Dedicated funds for professional learning and growth.

5. Culture, Events & Time Off

Fostering work-life balance and strong team connections.

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• Work Model: Hybrid (2 days in-office, 3 days remote per week) – balance is key.

• Summer & Winter Field Weeks – Two annual team retreats to connect, collaborate, and recharge.

• Quarterly Team Outing Budget – Enjoy exciting activities and quality time with your team to bond, relax and celebrate together.

• Occasional Gifts – Surprises and gifts to celebrate milestones & welcome new faces.

• Leave Benefits:
  

• Maternity Leave

• Paternity Leave

• Hajj/Umrah Leave

• Paid Time Off – Take the time you need! Covers annual, casual, and sick leave so you can recharge and come back ready to shine.