Tech Lead - Core ( AI/ML Full Stack )
Tech Lead - Core ( AI/ML Full Stack )
Posted on :
24-07-2025
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1 Vacancy
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Job Description
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 Fullstack Platform Development:
- Design and build scalable microservices and event-driven architectures.
- Implement high-performance backend systems in Python Java and .
- Develop AI-integrated dashboards and frontend applications using 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.
Technical Leadership & Best Practices:
- Lead and mentor junior developers and AI engineers.
- Enforce best practices in software engineering AI model deployment and fullstack 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 fullstack development.
- Expertise in building AI-powered applications leveraging LLMs NLP and deep learning models.
- Strong programming skills in Python Java 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.
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 Spring Boot.
- Frontend skills with Angular and TypeScript.
- Proficiency in Microservices Architecture & API with CI/CD DevOps (Jenkins OpenShift Kubernetes).
- Deep understanding of AI-powered Search & Semantic Understanding (HyDE MMR LLM reranking).
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.
Bachelor s/Master s degree in Computer Science, AI, Machine Learning, or a related field. 7+ years of experience in AI/ML and fullstack development. Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. Strong programming skills in Python, Java, , 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.
Employment Type
Full Time
Key Skills
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