LLM Platform Engineer Job at Bright Vision Technologies (Bridgewater)

UX Engineer, LLM Experimentation Platform

You'll work on our LLM evaluation and prompt experimentation platform, taking fu...

Location

United States

Salary:

175000.00 - 200000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

You've made products noticeably better through interaction refinement
You're comfortable with modern frontend frameworks and animation libraries
You've used session replay tools and incorporated user feedback into designs
You can work in Figma to prototype before committing to code
You think about edge cases, loading states, and empty states automatically
You've worked on complex tools (dev tools, data tools, B2B SaaS) where UX really matters

Job Responsibility

Refine and iterate on UX for existing features
Watch real users struggle in Fullstory, identify friction points, and fix them
Prototype interaction alternatives rapidly (in Figma or code) to test different approaches
Work closely with our Senior engineers who own feature architecture
Own the 'feel' of the product: transitions, feedback, error handling, progressive disclosure
Build reusable interaction patterns that the team can leverage
Run lightweight usability tests to validate improvements

What we offer

competitive equity package
comprehensive benefits package, including medical, dental, vision
a 401(k) plan
unlimited paid time off
a generous parental leave plan
additional support for mental health and wellness
WFH monthly stipend to pay for co-working spaces

Fulltime

Senior LLM Backend Engineer

We are looking for a Senior Backend Engineer with a strong focus on Large Langua...

Location

Spain

Salary:

Not provided

Bark

Expiration Date

Until further notice

Requirements

Extensive production experience with Python in backend engineering
Proven experience integrating LLMs into applications via APIs or SDKs
Strong experience building and maintaining APIs for LLM-based features
Strong experience building and maintaining event-driven workflows
Strong experience building and maintaining business logic that consumes AI outputs
Strong experience building and maintaining integrations with 3rd party AI/ML platforms
Solid SQL and NoSQL experience (especially in AI data pipelines)
Production experience with Docker, ideally with Kubernetes or AWS Fargate/ECS/EKS
Experience deploying and maintaining AI services in cloud environments
Strong organisational skills and ability to deliver in a fast-paced, product-focused environment

Job Responsibility

Work with product managers to understand user needs and translate them into AI-powered functionality
Design and build APIs, services, and workflows that integrate LLMs (both proprietary and open-source)
Implement prompt engineering, RAG pipelines, and model fine-tuning where required
Optimise AI inference performance, scalability, and cost-effectiveness
Ensure AI features meet high standards for security, reliability, and maintainability
Collaborate with other engineers to integrate AI features seamlessly into the wider system
Stay on top of emerging LLM technologies and best practices, running experiments and sharing knowledge across the team

What we offer

Fully remote working
Personal annual L&D Budgets with 600€ to spend on your development
Being at the forefront of an industry with new and exciting problems to solve

Fulltime

Member of Technical Staff - Platform Engineer

Platform Engineer to join our team building backend infrastructure for new ML-po...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

Backend engineering experience with Python, TypeScript, or Node.js
Hands-on experience working with production PyTorch models, model checkpoints, and inference logic
Strong knowledge of building APIs and services that are scalable, stable, and secure
Passion for bridging backend engineering and ML systems, especially at the infrastructure layer
Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React
Desire to be hands-on and contribute to shaping the foundation of a new enterprise ML product
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Build and maintain backend services to support LLM integration, inference orchestration, and data flow
Write clean, reliable Python code for experimentation, model integration, and production systems
Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features
Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases
Own system components and ensure reliability, observability, and maintainability from day one

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

AI Platform Lead

A rapidly growing tech company is seeking an AI Platform Lead to architect and s...

Location

United Kingdom , London

Salary:

100000.00 GBP / Year

Formula Recruitment

Expiration Date

Until further notice

Requirements

5+ years’ experience building AI/ML platforms, LLM services, or ML infrastructure
Hands-on expertise with modern LLM frameworks—RAG, agents, prompt engineering, fine-tuning
Strong systems thinking and experience integrating AI into complex platforms
Product awareness and the ability to work across teams in a fast-moving environment

Job Responsibility

Architect and scale the core infrastructure powering their AI-driven modelling platform
Blend deep ML infrastructure expertise with strong systems thinking and product intuition
Work closely with engineering, product, and domain specialists to define how AI is integrated into the platform
Building LLM-backed agents, features, and developer-facing tools that deliver real value to end users

What we offer

Bonus
Flexible hybrid working from a London office
Generous time off and modern workspace perks
Pension contributions
Equity options and the chance to grow with the company

Fulltime

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
Overlap of 6 hours with PST time zone is mandatory
Commitments Required: 8 hours per day with overlap of 6 hours with PST

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Fulltime

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
4+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes

What we offer

equity and benefits

Fulltime

Site Reliability Engineer SRE – ML platform

Location

United States , Sunnyvale

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS
Good understanding of Apache SOLR
Proficient with Linux administration
Knowledge of ML models and LLM
Ability to understand tools used by data scientists and experience with software development and test automation
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
Experience working with cloud computing and database systems
Experience building custom integrations between cloud-based systems using APIs
Experience developing and maintaining ML systems built with open-source tools
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes

Job Responsibility

Continuous Deployment using GitHub Actions, Flux, Kustomize
Design and implement cloud solutions, build MLOps on AWS cloud
Data science model containerization, deployment using Docker, VLLM, Kubernetes
Communicate with a team of data scientists, data engineers, and architects, and document the processes
Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
Knowledge of ML models and LLM

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

LLM Platform Engineer

Bright Vision Technologies

Location:
United States , Bridgewater

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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