Ai / Llm Systems Engineer Job at Snail Games (Culver City)

Lead AI / LLM Systems Engineer

We are seeking a senior AI engineer to lead the development of Egofold’s foundat...

Location

United States , Culver City

Salary:

150000.00 - 200000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Significant professional experience building AI or ML systems beyond simple model or API integration
Demonstrated experience working with large language models in a production or applied research context
Hands-on experience with agent training methodologies, including reinforcement learning or simulation-based learning systems
Strong understanding of training workflows, evaluation strategies, and iterative improvement cycles
Strong proficiency in Python and experience integrating AI systems into production environments
Ability to reason about complex, stateful systems and learning behavior over time
Comfort operating in early-stage, ambiguous environments and taking ownership of foundational systems

Job Responsibility

Design and implement foundational AI systems using large language models as a core reasoning component
Architect simulation-based learning systems and training workflows, including fine-tuning, reinforcement learning, evaluation, and feedback loops
Build validation, safety, and constraint layers around generative outputs to ensure predictable and controllable behavior
Define evaluation frameworks and benchmarking strategies to measure agent performance, stability, and learning progression over time
Structure how context, memory, and world state are represented and consumed within the AI architecture
Determine how learned behavior, structured logic, and rule-based systems interact within a unified hybrid system
Collaborate with engine engineers to integrate AI systems into real-time interactive environments
Make system-level technical decisions that prioritize long-term reuse, scalability, and cross-domain adaptability

What we offer

Operate in a small, high-autonomy team with significant technical ownership and long-term influence
True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge; McLean; New York; San Jose

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Strong programming skills in Python
Experience working with large datasets and distributed data platforms
Familiarity with Databricks or similar modern data platforms
Experience building production-grade AI systems (not just POCs)
Strong understanding of prompt engineering and LLM optimization techniques

Job Responsibility

Design and build agentic AI systems leveraging large language models (LLMs)
Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
Translate business problems into production-ready AI workflows and applications
Collaborate with product and architecture teams to define AI use cases and technical approaches
Implement and optimize: Prompt engineering strategies
Token usage and cost efficiency
Model performance and response quality
Work with large-scale datasets to support training, fine-tuning, and inference workflows
Contribute to the development of AI engineering standards, frameworks, and best practices
Partner with data science teams to integrate models into production environments

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge; McLean; New York; San Jose

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-5 years in an Apps Development role
Demonstrated execution capabilities
Strong analytical and quantitative skills
Data driven and results-oriented
Experience in running high traffic, distributed, cloud based services
Experience in affecting large culture change
Experience leading infrastructure programs
Skilled at working with third party service providers
Excellent written and oral communication skills
Bachelor’s/University degree or equivalent experience

Job Responsibility

Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems

Fulltime

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years in a product development/product management environment
Strong analytical and quantitative skills
Data driven and results-oriented
Experience delivering with an agile methodology
Experience in affecting large culture change
Experience leading infrastructure programs
Skilled at working with third party service providers
Excellent written and oral communication skills
Bachelor’s/University degree or equivalent experience
Strong expertise in SQL (Oracle, PostgreSQL)

Job Responsibility

Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

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Ai / Llm Systems Engineer

Job Description

Job Responsibility

Requirements

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What we offer

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