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About the role
Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance—providing clients with reliability and a strong competitive edge. Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business—it means having a dedicated our financial client focused on your success in today's fast-evolving digital world . Job Title: Tech Lead (Full Stack + AI) Job Location: Hyderabad/Indore Experiences: 8-11 years Job Type: Full time Shift Timings: 11:00 AM-8:00 PM Job Description: We are looking for a Lead Full Stack Engineer (MERN + AI) with strong hands-on expertise and leadership capabilities to drive the design, development, and delivery of scalable web applications and AI-powered solutions. This role combines deep technical ownership across MERN stack with applied Generative AI capabilities (RAG, LangChain, LLM integrations). The ideal candidate is a player-coach who can lead squads, collaborate with senior stakeholders (including CTO-level), and thrive in a fast-paced, startup-like environment. Key Responsibilities - Lead design and development of full-stack applications using MongoDB, Express.js, React, and Node.js Architect scalable and secure systems with a focus on performance, resilience, and maintainability Own end-to-end delivery including backend APIs, frontend UI, and AI integrations Make key decisions on architecture patterns, code quality, and technology adoption AI / GenAI Engineering: Design and implement AI-powered features using LLMs (OpenAI or similar) Build solutions leveraging: RAG (Retrieval Augmented Generation) LangChain / LangGraph frameworks Vector databases and embeddings Prompt engineering and evaluation pipelines Integrate AI capabilities into applications such as chatbots, automation workflows, and recommendation systems Development Excellence: Write clean, maintainable code with strong emphasis on: Unit and integration testing Security best practices (OWASP Top 10) Code coverage and review standards Troubleshoot and resolve issues across frontend and backend systems Drive improvements in CI/CD pipelines and DevOps practices System Integrations & Platform Development: Build and enhance RESTful APIs and microservices Integrate with third-party systems and enterprise APIs Design modules such as: Campaign management systems Workflow automation engines Reporting and analytics pipelines Team Leadership: Lead and mentor a team/squad of engineers (1–2 years leadership experience expected) Drive sprint delivery, code reviews, and engineering best practices Foster a culture of ownership, innovation, and continuous learning Stakeholder Management: Collaborate with CTOs, product managers, and business stakeholders Translate business requirements into scalable technical solutions Communicate effectively across technical and non-technical audiences Tech Stack- Frontend: React.js (Hooks, Context, Router) HTML5, CSS3, JavaScript/TypeScript Backend: Node.js (NestJS/Express preferred) REST API design & microservices Database: MongoDB, NoSQL databases AI / ML: OpenAI / LLM APIs LangChain / LangGraph RAG pipelines & vector DBs DevOps & Infra: Docker, Kubernetes, Helm CI/CD pipelines Cloud platforms (AWS/Azure/GCP) Mandatory Skills: 7–8+ years of experience in full-stack development Strong hands-on expertise in MERN stack Experience in AI/GenAI systems (LLMs, RAG, or LangChain) (Hands-on preferred; POC-level acceptable if solid understanding) 1–2 years of team leadership experience Strong knowledge of: API design and distributed systems Testing (unit, integration) Security and performance optimization Experience with modern developer tools (Git, CI/CD, debugging) Desired Skills: Prompt engineering and agent-based systems Vector databases (e.g., Pinecone, FAISS) Event-driven architectures Familiarity with: AI-assisted development tools (e.g., GitHub Copilot, Cursor) Observability tools (logging, tracing) Education: BE/ BTech / BSC / MCA
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