This is a remote position.
We are seeking a Tech Lead with expertise in AI/ML and Full stack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms.
Responsibilities:
Develop & Optimize Core AI/ML Features:
- Architect and implement AI-powered automation modules, search systems, and data retrieval models.
- Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques.
- Enhance workflow automation using Haystack, LangGraph, and Vector DBs.
Lead Full stack Platform Development:
- Design and build scalable microservices and event-driven architectures.
- Implement high-performance backend systems in Python, Java, and Node.js.
- Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript.
AI Model Deployment & DevOps:
- Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms.
- Implement CI/CD pipelines, containerization, and scalable deployment strategies.
- Lead and mentor junior developers and AI engineers.
- Enforce best practices in software engineering, AI model deployment, and full stack architecture.
- Drive innovation in AI-based workflow automation and platform scalability.
Requirements
- Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI/ML and full stack development.
- Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models.
- Strong programming skills in Python, Java, Node.js, TypeScript.
- Deep understanding of cloud-based AI solutions (AWS, GCP, Azure).
- Experience in microservices, REST/WebSockets, and real-time API development.
- Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines.
- Experience in vector databases, RAG-based search, and AI-powered data retrieval.
Skills:
Must-Have Skills:
- Expertise in GenAI Development and Large Language Models (LLMs).
- Proficiency in LangChain, Haystack, LangGraph for AI-driven workflow automation.
- Strong understanding of Natural Language Processing (NLP) & semantic search optimization.
- Experience in vector databases (Pinecone, Milvus, Neo4j) and graph-based AI solutions.
- Hands-on experience with Speech-to-Text technologies (Whisper, Google Text-to-Speech).
- Backend expertise in Java, Python, Node.js, Spring Boot.
- Frontend skills with React.js, Angular, and TypeScript.
- Proficiency in Microservices Architecture & API Development.
- Experience with CI/CD, DevOps (Jenkins, OpenShift, Kubernetes).
- Deep understanding of AI-powered Search & Semantic Understanding (HyDE, MMR, LLM re-ranking).
Preferred Skills:
- Experience in AI-powered chatbot & IVR automation.
- Proficiency in Dashboard Development & AI Monitoring (Splunk, AppDynamics, OpenTelemetry).
- Ability to optimize real-time AI solutions using WebSockets and analytics-driven AI interactions.
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