Fullstack and AI Engineer

Hyderabad, Telangana, India

Role Type:

Full-time

Location:

Hyderabad

Apply Now We are seeking a talented and versatile Fullstack Developer to join our dynamic development team. The ideal candidate will have a strong background in both frontend and backend technologies, with particular expertise in Node.js, PostgreSQL, Python, and API development. You will play a key role in designing, building, and maintaining scalable web applications and services.

Qualifications

Proficient in Node.js and JavaScript/TypeScript development.
Strong experience with PostgreSQL or similar relational databases.
Solid understanding of Python for backend services or scripting.
Experience designing and consuming RESTful APIs.*
Familiarity with version control systems (e.g., Git).
Strong problem-solving skills and attention to detail.

We are building the next generation of AI-enabled industrial safety and operational intelligence platforms, combining IoT wearables, real-time communications, and intelligent automation to improve security, response times, workforce safety, and operational visibility across critical industries.

You will also contribute to the development of AI-enabled capabilities across different platform, helping transform real-time wearable and IoT data into actionable operational and safety intelligence. This includes working on intelligent event processing, predictive analytics, automation workflows, and AI-assisted decision-making systems for industrial and security environments.

Additional Key Responsibilities

Design and implement AI-assisted backend services and intelligent automation workflows.
Develop pipelines for processing real-time IoT and wearable telemetry data for analytics and event detection.
Integrate AI/ML models into production-grade APIs and web applications.
Build systems that support anomaly detection, predictive alerting, behavioral analysis, and operational intelligence.
Work with structured and unstructured datasets to support AI-driven insights and reporting.
Collaborate with product and engineering teams to develop AI-enabled safety and security applications.
Optimize data architectures to support large-scale event streaming, model inference, and real-time decision systems.
Assist in evaluating and integrating LLMs (Large Language Models) and AI tooling into internal and customer-facing products.

Additional Must-Have Qualifications

Experience in integrating AI/ML capabilities into production applications.
Familiarity with Python AI ecosystems such as TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
Understanding of data pipelines, event-driven architectures, and real-time data processing.
Experience working with APIs for AI services and model inference.
Familiarity with vector databases, embeddings, or semantic search concepts.
Strong understanding of scalable backend architectures for data-intensive applications.

Additional nice-to-have-qualifications

Experience with generative AI, LLM orchestration frameworks, or AI agents.
Familiarity with edge AI or deploying lightweight AI models on IoT devices.
Experience with streaming technologies such as Kafka, MQTT, or RabbitMQ.
Knowledge of computer vision, geospatial analytics, or sensor fusion systems.
Experience building AI-enabled dashboards, operational intelligence platforms, or safety monitoring systems.
Exposure to MLOps workflows, model monitoring, and AI infrastructure deployment.
Experience with Retrieval-Augmented Generation (RAG) architectures and private AI systems.
Familiarity with AI security, privacy, and governance best practices for enterprise or government environments.
Experience building or supporting mobile applications (iOS, Android, or cross-platform frameworks like React Native or Flutter).
Exposure to DevOps practices and cloud platforms, especially AWS (e.g., EC2, S3, Lambda, RDS).
Understanding of CI/CD pipelines and deployment automation.
Familiarity with containerization tools such as Docker and Podman.

Responsibilities

Design, develop, and maintain fullstack web applications.
Build robust, secure, and scalable RESTful APIs.
Work with relational databases, primarily PostgreSQL, to model and manage data effectively.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, maintainable, and efficient code across the stack.
Participate in code reviews and technical discussions.
Troubleshoot and debug issues in a timely manner.

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