Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to capture prompts, model calls, RAG traces……
Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment……
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Experience developing interactive dashboards with Tableau or……
Collaborate with Data science & other dependent teams to design and implement the required solutions. Understand and apply our technical architecture to ensure……
Master’s degree or higher in a STEM field. Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with……
Bachelor's degree in Computer Science or a related field or 2+ years of equivalent practical experience. You will collaborate closely with senior engineers,……
The ideal candidate will work closely with technical leads and product owners to understand requirements, contribute to system design, develop scalable……
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field. Design, develop, and maintain scalable data pipelines, ETL……
Design and develop Java-based user interfaces to support process maintenance and operational efficiency. Experience using JIRA or similar workflow management……
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to……
Good breadth of knowledge in chip design concepts from micro-architecture through physical design. Develop, implement and verify state-of-the-art Design for……
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for……
You’ll be part of a large community of machine learning engineers across the company and collaborate with users, software engineers, and data scientists to……
Proficiency in simulation and modeling tools (Abaqus, ANSYS, LS-DYNA, COMSOL), along with data analysis and optimization tools (HEEDS, Minitab).…
You will design, build, and optimize the data pipelines, vector databases, and semantic frameworks that allow autonomous AI agents to interact intelligently……
Participate in design reviews, peer reviews, and team technical discussions. This role is ideal for early‑career engineers interested in FPGA design, DSP, and……
The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep……
The tools that we develop are as the teams developing them, and in this Senior Configuration Engineer role, the successful candidate will leverage their……
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law……
This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data……
Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and……
Communicate effectively with technical and non-technical stakeholders, providing clear updates and documentation. Heavy Data Analytics background (python).…
Bachelor’s degree in computer science, information technology, or a related field. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S.……
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law……
Reporting to the Manager of Production Engineering, the individual in this role will play a pivotal role in troubleshooting and resolving complex technical……
We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and……
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CVS Scottsdael, AZ **HYBRID FROM DAY 1 About the Role We are seeking an experienced AIML Engineer to design, build, and operate AI/ML infrastructure and agentic systems. This role involves developing MCP servers and agents, integrating LLMs, and implementing RAG pipelines for production environments. Key Responsibilities · Design, build and operate MCP servers and MCP agents that host, orchestrate and monitor AI/agent workloads. · Develop agentic AI, prompt engineering patterns, LLM integrations and developer tooling for production use. · Own deployment, scaling, reliability and cost-efficiency on Kubernetes/Docker and Google Cloud with automated CI/CD · Design and implement RAG (Retrieval Augmented Generation) pipelines and integrations with vector stores and retrieval tooling; use LangChain and Langfuse for orchestration, chaining, and observability. Core Responsibilities · Implement and maintain MCP server and agent code, APIs, and SDKs for model access and agent orchestration. · Design agent behavior, workflows and safety guards for agentic AI systems. · Create, test and iterate prompt templates, evaluation harnesses and grounding/chain of thought strategies. · Integrate LLMs and model providers (self hosted and cloud APIs) with unified adapters and telemetry. · Build developer tooling: CLI, local runner, simulators, and debugging tools for agents and prompts. · Containerize services (Docker), manage orchestration (Kubernetes/GKE), and optimize nodes, autoscaling and resource requests. · Ensure observability: logging, metrics, traces, dashboards, alerting and SLOs for model infra and agents. · Create runbooks, playbooks and incident response procedures; reduce MTTR and perform postmortems. · Design and maintain RAG workflows: document chunking, embeddings, vector indexing, retrieval strategies, re ranking and context injection. · Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to capture prompts, model calls, RAG traces and evaluation telemetry. Required Skills & Experience · 5+ years of Strong Software Engineering (Python/NodeJS), system design and production service experience. · 2+ years of Experience with LLMs, prompt engineering, and agent frameworks. · 2+ years of Experience Practical experience implementing RAG: embeddings, vector DBs and retrieval tuning. · 2+ years of Experience with LangChain patterns and with toolchain telemetry (Langfuse or similar) for prompt/model traceability. · 5+ years of Experience with Kubernetes, Docker, CI/CD and infrastructure as code experience. · 2+ years of Experience with Practical experience with Google Cloud Platform services · 2+ years of Experience with Observability, testing, and security best practices for distributed systems. · 2+ years of Experience with evaluating and mitigating retrieval/augmentation failures, hallucinations, and leakage risks in RAG systems. · Familiarity with vendor and open source vector stores and embedding providers. · Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).