Careers at
Sterify Solutions

Build responsive, high-performance web applications using MongoDB, Express.js, React, and Node.js. Implement resilient RESTful APIs, modern state management (Redux/Zustand), and integrate third-party payment & auth microservices.

Develop autonomous AI agents using LangChain, LangGraph, and CrewAI. Build multi-step reasoning workflows, tool-calling pipelines, RAG systems with vector databases (Chroma/Milvus), and integrate state-of-the-art LLMs (GPT-4o, Claude 3.5, Llama 3).

Work closely with enterprise clients to integrate Sterify's core AI and software platforms into their live environments. Translate bespoke client requirements into scalable architectural code, write custom API integrations, and debug real-time production issues.

Oversee the production deployment, monitoring, and scaling of Large Language Models. Implement high-throughput inference engines (vLLM, TensorRT-LLM), model evaluation benchmarks, latency optimization, token tracking (Langfuse/Arize), and guardrails.

Conduct exploratory data analysis (EDA), data cleaning, and statistical modeling. Build predictive regression/classification algorithms, automate feature pipelines, and produce interactive stakeholder dashboards using SQL, Pandas, and BI visualization tools.

Architect and build resilient backend microservices using Java 17+, Spring Boot, Hibernate/JPA, and PostgreSQL, paired with modern frontend components (React/Angular). Implement robust security with Spring Security, JWT, and message brokers (Kafka/RabbitMQ).

Automate continuous integration and continuous deployment (CI/CD) pipelines with GitHub Actions. Containerize applications using Docker, assist with Kubernetes deployments on AWS/GCP, and set up uptime monitoring using Prometheus and Grafana.

Develop sleek, cross-platform and native mobile apps using Flutter (Dart), React Native, and Android Studio (Kotlin). Integrate RESTful APIs, push notifications, offline local databases (SQLite/Hive), and release builds to the Google Play Store & Apple App Store.

Design, train, and fine-tune Machine Learning and Deep Learning architectures for computer vision and NLP domains. Optimize neural networks with ONNX runtime and PyTorch TorchScript for real-time edge and cloud production inference.