Software Engineer Core - Core ( AI/ML Full Stack )
Software Engineer Core - 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:
- Implement and optimize AI-powered automation modules search systems and data retrieval models.
- Develop LLM-driven applications using LangChain RAG and embedding- based techniques.
- Enhance workflow automation using Haystack LangGraph and Vector DBs.
Fullstack Platform Development:
- Build scalable microservices and event-driven architectures.
- Develop high-performance backend systems in Python Java and .
- Work on 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 Collaboration & Best Practices:
- Work closely with senior engineers and AI developers to ensure efficient and scalable implementations.
- Follow best practices in software engineering AI model deployment and fullstack architecture.
- Contribute to 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.
- 3 years of experience in AI/ML and fullstack development.
- Experience in building AI-powered applications leveraging LLMs NLP and deep learning models.
- Strong programming skills in Python Java TypeScript.
- Experience in cloud-based AI solutions (AWS GCP Azure).
- Proficiency in microservices REST/WebSockets and real-time API development.
- Knowledge of DevOps MLOps Kubernetes and CI/CD pipelines.
- Hands-on 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 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 Development.
- Experience 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. 3+ years of experience in AI/ML and fullstack development. Experience in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. Strong programming skills in Python, Java, , TypeScript. Experience in cloud-based AI solutions (AWS, GCP, Azure). Proficiency in microservices, REST/WebSockets, and real-time API development. Knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. Hands-on 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, 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 Development. Experience 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.
Employment Type
Full Time
Key Skills
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