We’re looking for a passionate Full Stack Developer to join our team and work on a variety of innovative projects, including real estate technology platforms, staffing solutions, and other SaaS applications. You’ll help build modern, cloud-native web applications from the ground up. As a Full Stack Developer, you will design and develop interactive frontends, robust backends, scalable APIs, and microservices — all deployed exclusively on Google Cloud Platform (GCP). ⸻ 🔨 Key Responsibilities ✅ Develop responsive, high-quality user interfaces using React. ✅ Build and maintain scalable RESTful and/or GraphQL APIs (GraphQL preferred) using Node.js (preferred) or Python. ✅ Design, implement, and optimize relational databases (PostgreSQL or MySQL). ✅ Develop microservices architecture and deploy services on Google Cloud Platform (GCP) using Cloud Run, GKE, or App Engine. ✅ Integrate third-party APIs and services as needed (e.g., Google Maps, payment gateways, auth providers). ✅ Collaborate on architecture, security, database design, and performance optimization. ⸻ ✅ Required Skills ✔️ 2+ years of experience building full-stack web applications. ✔️ Strong proficiency with React. ✔️ Experience with Node.js (preferred) or Python for backend development. ✔️ Solid understanding of API design with GraphQL (preferred) or REST. ✔️ Experience with relational databases (PostgreSQL) — schema design, querying, and optimization. ✔️ Familiarity with microservices architecture and deploying services on GCP. ✔️ Solid Git version control practices. ⸻ ⭐ Nice to Have • Experience with Docker and Kubernetes. • Familiarity with NoSQL databases (MongoDB, Redis). • Exposure to AI/ML integration. • Experience with CI/CD pipelines. ⸻ 🌟 Why Join Us? ✅ Work on diverse, innovative projects across industries. ✅ Build modern applications with cutting-edge tools and technologies. ✅ Grow in a collaborative team where your contributions make a direct impact. ✅ Flexible work environment (specify benefits/perks/remote options if applicable). ⸻ 📩 How to Apply Interested candidates should send their resume, portfolio/GitHub link (if available), and a brief note about why they’re interested to projects@trimahtech.com and cc info@trimahtech.com
About the Role: We are hiring AI/ML Engineers to join a growing remote-first product and research team working on various AI/ML-driven applications across domains like: • Real Estate Intelligence • Fintech • Predictive Analytics • Generative AI • AI Assistants & Agents • Data Automation Tools This is a hands-on engineering role best suited for freshers or early-stage professionals looking to gain deep experience with practical ML model development, LLM integrations, and production deployment. ⸻ 🛠 Responsibilities: • Assist in training and tuning ML models using scikit-learn, TensorFlow, or PyTorch • Work with structured and unstructured datasets using Pandas, NumPy, SQL, and APIs • Build and test AI pipelines: preprocessing → modeling → evaluation → deployment • Integrate AI models into microservices (FastAPI/Flask) • Use LLM APIs (OpenAI, Anthropic, Gemini, Mistral) for building AI assistants and tools • Implement vector search and semantic search using Pinecone or ChromaDB • Write clean, reusable, and well-documented code in Python ⸻ ✅ Requirements: • Degree in Computer Science, Data Science, Engineering, or equivalent practical skills • Solid understanding of ML concepts: regression, classification, clustering, etc. • Experience with: • Python and Jupyter notebooks • Pandas, Numpy, Matplotlib • At least one ML library: scikit-learn, TensorFlow, or PyTorch • Good grasp of APIs and working with JSON/REST endpoints • Strong problem-solving ability and attention to detail • Basic version control with Git ⸻ 🌟 Nice-to-Haves: • Exposure to OpenAI, LangChain, Hugging Face, or LlamaIndex • Familiarity with Pinecone, ChromaDB, or vector databases • Understanding of cloud deployment (Google Cloud, AWS, or Firebase) • Participation in hackathons, Kaggle competitions, or personal ML projects • Interest in domain-specific AI (real estate, finance, e-commerce, etc.) ⸻ 🧠 You’ll Learn & Work With: • AI prompt engineering & chaining logic • LLM-driven workflows using LangChain / RAG pipelines • End-to-end ML lifecycle (train → deploy → monitor) • Generative AI and AI copilots • FastAPI for microservice integration
🧠 About Us We are a technology-driven company building multiple AI-powered applications across industries like real estate, fintech, and business intelligence. Our products leverage data, automation, and artificial intelligence to solve real-world problems. ⸻ 🛠️ Role Overview We’re looking for a motivated Python Backend Developer to join our growing engineering team. The ideal candidate will work on scalable backend services, integrate AI/ML APIs, and build robust RESTful APIs to power various platform features. ⸻ 🧾 Responsibilities • Develop and maintain scalable backend services using Python • Design and build RESTful APIs for internal and external consumption • Integrate third-party APIs including AI/ML platforms (OpenAI, Hugging Face, etc.) • Work with databases (Postgres SQL and NoSQL) for data modeling and querying • Collaborate with frontend developers and other teams to implement new features • Write clean, testable, and well-documented code • Participate in code reviews and continuous integration processes • Debug, troubleshoot, and optimize backend performance ⸻ 🔧 Tech Stack You May Work With • Languages: Python 3.x • Frameworks: FastAPI, Flask, Django (FastAPI preferred) • AI/ML APIs: OpenAI, Hugging Face, custom inference APIs • Databases: PostgreSQL, MongoDB, Redis • Authentication: OAuth2 / JWT • DevOps & Tools: Docker, GitHub, CI/CD , Postman • Cloud Services: GCP / AWS / Firebase / Cloud Run / Render ⸻ 🎓 Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field (final-year students may apply) • 0–2 years of hands-on experience in Python backend development and strong knowledge of OOPS concept • Understanding of REST APIs and microservice architecture • Familiarity with integrating external APIs and cloud-based services • Exposure to AI/ML APIs or platforms (basic implementation experience is fine) • Version control using Git • Willingness to learn quickly and work in a fast-paced, evolving environment ⸻ 🚀 Nice to Have • Experience with FastAPI and Django • Familiarity with AI frameworks like LangChain, vector DBs like Pinecone • Basic frontend knowledge (React, HTML/CSS) • Previous internship or open-source contributions ⸻ 🌟 What You’ll Get • Exposure to modern backend architecture and AI integrations • Real-world experience working across multiple products and industries • Mentorship and professional growth opportunities • Flexible remote work culture • Potential to convert to long-term or full-time role based on performance ⸻ 📩 How to Apply Send your resume and (optional) GitHub or project portfolio to: prasanth.gopinath@trimahtech.com
About the Role: We are hiring AI/ML Engineers to join a growing remote-first product and research team working on various AI/ML-driven applications across domains like: • Real Estate Intelligence • Fintech • Predictive Analytics • Generative AI • AI Assistants & Agents • Data Automation Tools This is a hands-on engineering role best suited for freshers or early-stage professionals looking to gain deep experience with practical ML model development, LLM integrations, and production deployment. ⸻ 🛠 Responsibilities: • Assist in training and tuning ML models using scikit-learn, TensorFlow, or PyTorch • Work with structured and unstructured datasets using Pandas, NumPy, SQL, and APIs • Build and test AI pipelines: preprocessing → modeling → evaluation → deployment • Integrate AI models into microservices (FastAPI/Flask) • Use LLM APIs (OpenAI, Anthropic, Gemini, Mistral) for building AI assistants and tools • Implement vector search and semantic search using Pinecone or ChromaDB • Write clean, reusable, and well-documented code in Python ⸻ ✅ Requirements: • Degree in Computer Science, Data Science, Engineering, or equivalent practical skills • Solid understanding of ML concepts: regression, classification, clustering, etc. • Experience with: • Python and Jupyter notebooks • Pandas, Numpy, Matplotlib • At least one ML library: scikit-learn, TensorFlow, or PyTorch • Good grasp of APIs and working with JSON/REST endpoints • Strong problem-solving ability and attention to detail • Basic version control with Git ⸻ 🌟 Nice-to-Haves: • Exposure to OpenAI, LangChain, Hugging Face, or LlamaIndex • Familiarity with Pinecone, ChromaDB, or vector databases • Understanding of cloud deployment (Google Cloud, AWS, or Firebase) • Participation in hackathons, Kaggle competitions, or personal ML projects • Interest in domain-specific AI (real estate, finance, e-commerce, etc.) ⸻ 🧠 You’ll Learn & Work With: • AI prompt engineering & chaining logic • LLM-driven workflows using LangChain / RAG pipelines • End-to-end ML lifecycle (train → deploy → monitor) • Generative AI and AI copilots • FastAPI for microservice integration