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Python Developer
We are seeking a skilled Python Developer to join our dynamic team in the Mumbai Region, Maharashtra. The ideal candidate will have a strong background in Python programming and experience with various technologies…
AI Engineer
We are seeking an experienced AI Engineer to join our dynamic team in Andhra Pradesh. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a focus on generative AI…
Lead AI Engineer - Generative AI & Agentic AI: Cogentiq
Hands-on lead role architecting, building and productionizing enterprise-scale Generative AI and Agentic AI systems in Python — LLM apps with RAG, agents and multi-agent workflows using LangGraph/LangChain, integrated with Snowflake and AWS/Azure/GCP. Requires 10+ years' experience and proven production GenAI delivery.
Senior AI Engineer
Senior AI Engineer who designs, develops, and optimizes generative AI solutions built on LLMs, integrates them into existing systems, and mentors junior engineers. Core stack includes Python, machine-learning libraries, LangChain/LangGraph, and cloud platforms like GCP.
AI Developer
AI Developer based in the Mumbai region (Mumbai, Navi Mumbai, Thane) who designs, builds, tests, and maintains AI models with Python, integrates AI features into applications via React front ends, and manages data with SQL/PostgreSQL, working with Langchain, Langgraph, and RAG.
AI Developer
An AI Developer in the Mumbai region who builds and optimizes AI/ML models and algorithms and integrates them into company products, collaborating with cross-functional teams. Core stack: Python, JavaScript/React, PostgreSQL/SQL, plus LangChain, LangGraph, and RAG frameworks.
AI Developer
Morpheus Human Consulting is hiring an AI Developer in the Mumbai region to design, build, and integrate AI models into existing applications and experiment to improve them. The core stack is Python with AI frameworks (LangChain, LangGraph, RAG), SQL/PostgreSQL for data handling, and some React front-end work.
AI Developer
An AI Developer based in the Mumbai region (Mumbai, Navi Mumbai, Thane) who designs and implements AI/ML models and integrates them into existing systems. Core stack includes Python with Langchain, Langgraph and RAG techniques, React for front-end work, and PostgreSQL/SQL databases.
Lead AI Engineer
Lead AI Engineer building production GenAI/LLM and agentic AI applications — document AI, AI agents, and workflow orchestration — on Azure AI/Azure OpenAI for an enterprise insurance technology platform. Hands-on Python lead who mentors engineers; work from office in Bengaluru with an 11 AM–8 PM general shift.
Policy Engineer
Fully remote (EU-based) contract role for a Policy Engineer to build authorization and access control for an Enterprise Agent Development Platform. Core work centers on IAM (OAuth 2.0, OIDC, JWT, RBAC/ABAC) and policy-as-code (Cedar/OPA) using Python, with AWS and AI-agent tooling as a plus.
Python Developer
Onsite Python developer in Korba, Chhattisgarh building ML/AI solutions for an industrial group: predictive, forecasting and anomaly-detection models, RAG chatbots, AI agents, and data pipelines from SAP, OSI PI and IoT plant systems, deployed as APIs with MLOps. Stack spans Python, FastAPI, LangChain, scikit-learn, PyTorch and SAP integrations.
ENGENHEIRO DE DADOS EM IA (PJ)
Data engineer role focused on AI: builds data pipelines (ETL/ELT, Airflow, dbt, ClickHouse, Data Warehouse/Lake) and integrates generative AI (RAG, prompt engineering, LangChain, vector databases) using Python, SQL, PostgreSQL, Docker and REST APIs. PJ (contractor) position in Fortaleza, CE.
AIML Architect
Designs and governs end-to-end enterprise AI architectures spanning Generative AI, Agentic AI, RAG and ML — defining reference architectures, MLOps/LLMOps standards and Responsible AI governance while mentoring delivery teams. Core tech: LLMs (Azure OpenAI/OpenAI/Bedrock), LangChain/LangGraph, vector DBs, Python/FastAPI on Azure/AWS/GCP.
Associate Software Architect - Agentic AI Solutions
Designs and hands-on builds production-ready agentic AI systems: LLM-powered autonomous agents, multi-agent orchestration, and RAG pipelines, plus the Python backend services (FastAPI/Flask/Django), microservices, and cloud deployment (AWS/Azure/GCP with Docker/Kubernetes) behind them. A senior architecture-plus-coding role for engineers with 10+ years' experience.
Python AI Engineer
Designs, builds, and deploys agentic AI systems and scalable AI workflows for enterprise clients using Python, LangGraph, LLMs, and multi-agent architectures. Machine learning/deep learning experience is optional. Based in Bangalore, serving Global 2000 clients.