Generative AI Engineer Job at Formula Recruitment (London)

Data Engineer with Generative AI Expertise

We are looking for a skilled Data Engineer with expertise in Generative AI to jo...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
2-6 years of hands-on experience in Data Engineering
Proficiency in Generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion)
Strong programming skills in Python, SQL, and familiarity with Java or Scala
Experience with data tools and platforms such as Apache Spark, Hadoop, or similar
Knowledge of cloud platforms like AWS, Azure, or GCP
Familiarity with MLOps practices and AI model deployment
Excellent problem-solving and communication skills

Job Responsibility

Design, develop, and maintain robust data pipelines and workflows
Integrate Generative AI models into existing data systems to enhance functionality
Collaborate with cross-functional teams to understand business needs and translate them into scalable data and AI solutions
Optimize data storage, processing, and retrieval systems for performance and scalability
Ensure data security, quality, and governance across all processes
Stay updated with the latest advancements in Generative AI and data engineering practices

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
Experience with diffusion models, autoregressive learning, or generative AI methods
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of uncertainty modeling and self-supervised learning
Passion for building AI that continuously adapts and learns

Job Responsibility

Develop generative models that enhance adaptability and improve AI robustness
Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
Apply generative methods to anticipate challenges and reinforce decision-making
Build self-improving AI pipelines that continuously refine model understanding
Optimize models for efficient, scalable, and interpretable AI decision-making

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

155000.00 - 175000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or machine learning (3+ years with a PhD)
Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
Deep expertise in NLP, sequence modeling, and transformer architectures
Proficient in Python and ML libraries such as PyTorch or TensorFlow
strong engineering skills in building scalable ML pipelines
Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
Proven ability to lead technical projects and collaborate across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field

Job Responsibility

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

Manager, Software Engineering - Expressive AI

The Expressive AI team is responsible for applying generative AI models to desig...

Location

United States , New York

Salary:

250000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of experience hiring and leading teams as an engineering manager
Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons
Demonstrated experience applying advancements in AI from both engineering and product perspectives, with a specific focus on LLMs, diffusion models, and image/video generation
Proven leadership in building high-performing, highly engaged engineering teams, with a strong track record of motivating, mentoring, and guiding senior engineers while hiring top industry talent
Exceptional ability to work cross-functionally across Product, Design, and Marketing, as well as collaborating with other engineering teams to ship both customer and internal-facing projects
A strong sense of technical curiosity, a willingness to learn and grow alongside your team, and a genuine passion for design and craft

Job Responsibility

Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience for designers in Figma
Work closely with cross-functional partners and engineering teams to push the boundaries of what’s possible through the application of AI to creative problems
Hire, manage, support, and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders
Grow your career within an engaged and creative engineering community
Help drive initiatives through hiring, community events, and cross-functional programs across Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Software Engineer, AI Product

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of experience of Software Engineering
1 or more years of developing generative AI products
Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects
Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them
Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

Job Responsibility

Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance
Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists
Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design
Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture
Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community

Senior Platform Engineer, AI Evaluation

We’re looking for an AI Platform Engineer to evolve and extend our internal eval...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5 years of Software Engineering experience with 2+ of those years working on the evaluation of generative AI systems
Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
Familiarity with the architecture of large language models and their industry-standard APIs

Job Responsibility

Evolve and extend our internal evaluation framework for assessing the quality of our AI-driven experiences
Work closely with ML data engineers and platform developers to help internal teams adopt an eval-driven development process incorporating offline benchmark tests and online experiments
Gather internal requirements, getting buy-in for changes, and then developing documentation and training materials

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026
Remote-first culture
Generous parental leave
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

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Generative AI Engineer

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