Tech Lead, LLM & Generative AI Job at EverAI

Lead Product Designer, AI & Experience

The Lead Product Designer will own the design vision, shape user interaction par...

Location

United States , New York

Salary:

190000.00 - 245000.00 USD / Year

DesignX Community

Expiration Date

Until further notice

Requirements

Strategic design leadership with a focus on business outcomes and user value
Product fluency in AI/LLM UX, including prompt interfaces and progressive AI results
Full-spectrum design skills: UX research, UI design, interaction and visual design
Strong technical collaboration with frontend teams
Research and validation expertise via interviews, testing, and behavioral analysis
Experience managing or collaborating with contractors and remote teams
Data-informed design approach using analytics and A/B testing
10+ years of product design experience, including senior or lead-level roles
Proven experience designing products that simplify complex data and workflows
Strong collaboration history with engineering in fast-paced product environments

Job Responsibility

Own the design vision and execution for our civic engagement platform
Design user-empowering AI interfaces that enable organizations to generate insights and content
Make opinionated design decisions about information hierarchy and user journeys
Pioneer change management through design via intuitive flows and feature adoption
Build and evolve our visual identity and brand expression across the platform
Design dynamic, responsive interfaces for AI-generated content
Partner with PMs and engineers to define interaction paradigms for LLM-driven features
Conduct user research with civic leaders and organizers
Establish and maintain design systems for data experiences and flexible content creation

Fulltime

Senior Software Engineer, AI

As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQas...

Location

India , Pune

Salary:

Not provided

FloQast

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience
3+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

Fulltime

Staff Software Engineer, Core AI

As a Staff AI Engineer on our Core AI team, you will be a cornerstone of FloQast...

Location

United States , San Jose

Salary:

164000.00 - 246000.00 USD / Year

FloQast

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience
4+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

What we offer

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Fulltime

AI Consultant (AI Tech Lead)

Softermii is currently looking for an AI Consultant. Project: Softermii. Includi...

Location

Salary:

Not provided

Softermii

Expiration Date

Until further notice

Requirements

At least 5 years of data science/ML experience
NLP, LLM, generative AI - e.g. GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders)
Proficiency in Data Vectorization
Retrieval Augmentation Generation (RAG), semantic vectors
Agent Development Frameworks: Familiarity with platforms for developing conversational agents
Understanding of MLOps practices
Experience in Natural Language Processing / Machine Learning
Solid understanding of machine learning algorithms and techniques, including deep learning
Proficient in Python and expertise in libraries and frameworks such as NumPy, pandas, TensorFlow, PyTorch
Experience with cloud platforms like AWS, Azure, Google Cloud, and familiarity with big data technologies including Hadoop and Spark

Job Responsibility

Participate in pre-sales phase to show company expertise, provide technical design and estimations
Work collaboratively with the data science team, backend engineer, devops, focusing on understanding business challenges and identifying potential tech-based solutions
Coach and lead ML Engineers
Develop and assess data-driven models with a focus on Natural Language Processing (NLP) and generative AI technologies
Utilize advanced techniques such as Large Language Models (LLM), Retrieval Augmentation Generation (RAG), and semantic vectors to enhance model performance
Collaborate with a team and client to ensure prompt alignment with project goals and user needs
Monitor and analyze performance to identify areas for improvement
Optimize AI prompt generation process to enhance overall system performance
Stay up-to-date on the latest advancements in AI, natural language processing and machine learning
Provide support to teams in understanding prompt engineering best practices

What we offer

Stable and highly-functioning processes
Independence to make decisions that can affect not only the project but also the work of the company
Team of like-minded experts
Individual development plan
Mentoring from seniors and leaders
Referral bonus
For full-time collaboration: 21 paid vacation days
11 paid days off for Public Holidays
For full-time collaboration: 5 paid sick leave days per year
Volunteer support

Parttime

New