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An AI Software Engineer designs, develops, and integrates AI/ML-powered features into the client's software products — building APIs, deploying models to production, and optimizing them for scale. Core stack includes Python/Java/C++, AI libraries, and cloud/containerization tools.
Location: Lisboa,Lisboa,Portugal Overview: You will join a newly created 5-person squad responsible for maintaining and evolving a portfolio of production AI agents serving the back office of the securities services…
At CGI you'll design, build and deploy AI/ML applications — including LLMs, retrieval systems and data pipelines — for mission-critical Space, Defence and Intelligence systems, on-site near Gloucester 5 days a week. Core stack: Python, PyTorch/TensorFlow/LangChain, Docker/Kubernetes, CI/CD.
Coder Trove is hiring a Senior Generative AI Engineer in Vietnam to build production LLM systems — agent-style services, RAG pipelines, and API integrations — that automate invoice financing and business workflows. Core stack: Python, LLMs/generative AI, and FastAPI/Django backends.
Senior AI Engineer at WeDOTalent, a Brazilian HRTech startup building autonomous recruiting. The role builds core product layers: multi-agent LLM systems in production, LLM orchestration and tool calling, continuous evaluation harnesses, and runtime governance infra, using Python, LangGraph/AutoGen, Rails, Next.js, PostgreSQL/pgvector and GCP.
An intern position as an LLM researcher at Sberbank (ПАО Сбербанк), listed under the Data/ML/Analytics category. The posting provides no additional details, but the role centers on large language model research at the bank.
Internship (стажер) at Sberbank (ПАО Сбербанк) in Saint Petersburg, working on-site on LLM risk modeling — i.e., applying large language models within the bank's risk-modeling function. The posting gives no further detail on duties, stack, or requirements.
Data & AI Engineer at Sanofi (Lyon, hybrid) building and operating cloud data pipelines, ETL/ELT workflows, and ML-ready data for the Manufacturing & Supply Chain data team. Core stack: SQL/Snowflake, dbt, Python, AWS, Airflow, plus CI/CD and infrastructure-as-code practices.
At Sanofi's Manufacturing & Supply Chain data team in Lyon, this hybrid Data & AI Engineer builds data pipelines, models, and AI solutions that turn manufacturing data into insights. Core stack includes Snowflake, Python, ETL/ELT, cloud orchestration, and DataOps/CI/CD practices, with on-site presence Monday to Wednesday.
Senior engineer on Augury's GenAI Infrastructure team builds production-grade AI systems: agents, RAG pipelines, tool-calling workflows, backend services, and reusable LLM infrastructure with evaluation, observability, and secure data access. Primarily hands-on Python backend engineering, not model research.
Senior engineer at Veriipro who designs scalable APIs and backend services while evaluating AI-generated code for quality and security in production systems. The role blends backend and some full-stack development with code reviews and architectural input in a fast-paced team.
AI Engineer at Robinsons Retail Holdings (Philippines) who designs, develops, and deploys AI-driven solutions that turn retail data into actionable business insights. Day-to-day work involves building scalable ML models and analytics using Python, SQL, R, TensorFlow, and Spark, with visualization via Power BI or Tableau and exposure to cloud platforms.
An AI/DevOps engineer who designs, builds, and operates AI-powered software and the infrastructure behind it, focusing on LLM applications, agentic systems, and workflow automation. Day to day this means deploying across cloud, on-premise, and GPU environments with CI/CD, monitoring, and security.
A hands-on backend role on Gnani.ai's GenAI team: build scalable Python systems, integrate APIs and databases, and craft prompts for real-world AI voice and chat applications. Core stack includes Flask/FastAPI/Django, MongoDB, and Redis.
The Senior AI Engineer will build and deploy agentic AI systems and generative workflows to power Jazz's security platform. The role involves working with LLMs, RAG pipelines, and vector search to create production-scale intelligence for data loss prevention.
EY is hiring an AI Engineering Manager to lead multidisciplinary teams delivering AI and GenAI solutions for clients, overseeing design, development and deployment of systems built on LLMs, GenAI platforms and cloud-native services, with a focus on governance, mentoring junior staff and driving client AI transformations.
AI Engineer at DRS RADA Technologies, a defense company building radar systems in Netanya, Israel. The role researches and develops AI models for radar data, analyzes complex time-series signals in Python, and integrates AI solutions into operational systems. Requires 3+ years of AI/ML experience, an M.Sc.+ in a relevant field, and strong Python skills.
A Python developer role at Citi Bank in Mississauga focused on GenAI/LLM initiatives: designing scalable data pipelines, collaborating with AI researchers, and deploying production-grade GenAI solutions across enterprise applications. Core stack includes Python, ML/NLP, LLMs, MLOps, and vector databases.
Senior Python developer (8-10 years) building and deploying production GenAI/LLM solutions for client Citi Bank in Mississauga. Day-to-day centers on RAG pipelines, agentic AI, and prompt engineering using LangChain/LlamaIndex, vector databases, FastAPI, PyTorch, and MLOps on Kubernetes/OpenShift.
A senior (8-10 years) Python developer role placed at Citi Bank in Mississauga, building and deploying Generative AI/LLM applications. Day-to-day work centers on RAG pipelines, LLM app development and prompt engineering using Python, FastAPI, LangChain, PyTorch, vector databases, plus MLOps and Kubernetes/OpenShift deployment.
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