Software Engineer (AI/ML)

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Employment Type

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NOTE: Filling out the form below is mandatory to be considered for the role:

https://forms.gle/AL21dSCXQeBFwFSG8

About the Role

We are looking for a versatile Software Engineer with expertise in AI/ML who can build robust

applications, design scalable systems, and integrate machine learning models into production

environments. This role is ideal for someone who enjoys working across the full engineering

stack — from backend services and APIs to ML pipelines and deployment.

Key Responsibilities

Software Engineering

● Design, develop, and maintain high-quality backend services and APIs.

● Write clean, efficient, and testable code in Python, Java, or similar languages.

● Build scalable, cloud-native systems (AWS/GCP/Azure).

● Implement CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring.

● Ensure security, reliability, and performance of applications.

AI/ML Engineering

● Collect, preprocess, and analyze data for training and evaluation.

● Build and fine-tune ML/DL models using PyTorch/TensorFlow/scikit-learn.

● Integrate ML models into production systems via APIs, microservices, or batch pipelines.

● Optimize models for performance, scalability, and latency in real-world applications.

● Monitor models in production for drift, reliability, and fairness.

Collaboration & Product Impact

● Work closely with product managers, designers, and data scientists to deliver end-to-end

solutions.

● Translate business problems into engineering + ML solutions.

● Contribute to architectural decisions for both software systems and ML pipelines.

● Write clear documentation and mentor junior engineers where needed.

Qualifications

Must-have:

● Bachelor’s/Master’s in Computer Science, Software Engineering, or related field.

● 3–6+ years of experience in software engineering + hands-on ML experience.

● Strong programming skills in Python (preferred), plus Java/Go/Node for backend.

● Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).

● Solid understanding of algorithms, data structures, and system design.

● Experience with databases (SQL + NoSQL), caching, and REST/GraphQL APIs.

● Knowledge of cloud services (AWS/GCP/Azure) and container orchestration (K8s).

Nice-to-have:

● Experience with MLOps (MLflow, Airflow, Kubeflow).

● Exposure to frontend frameworks (React, Angular, or Flutter for mobile).

● Knowledge of big data pipelines (Spark, Kafka, Dataflow).

● Prior work in NLP, Computer Vision, or Generative AI.

Soft Skills

● Ability to work across the full stack of software + ML.

● Strong problem-solving and debugging skills.

● Comfort working in fast-paced, startup-like environments.

● Passion for building real products that combine software and AI.

What We Offer

● Competitive salary, equity and benefits.

● Opportunity to work on cutting-edge AI systems in real-world products.

● A role that blends software craftsmanship with AI innovation.

● Career growth in both software engineering and AI/ML specialization.