Join our team

What We're Looking For

Are you a Machine Learning Engineer focused on building systems that power avatars and agents? ALETHIA AI is looking for a Generative AI / LLM Engineer to train, tune, and deploy models across vision, audio, and LLMs, integrating them directly into products.

As our Generative AI / LLM Engineer, you will ship pipelines, optimize latency, and support prompt tuning for LLM behaviors. We need a builder who writes Python, understands tradeoffs, and delivers reliable models that improve experience, engagement, and growth.

Key Responsibilities

• Develop, fine-tune, and adapt LLMs or VLMs for conversational, multi-turn, and real-time avatar interactions with strong grasp of how LLMs learn and behave, including in-context learning, prompt sensitivity, function calling, fine-tuning, and multi-turn reasoning patterns.
• Read research papers on LLM or VLM techniques such as personas, multi-turn reasoning, contextual memory, RL agent fine-tuning, and perception models, then implement prototypes that translate to production systems.
• Build context engineering systems including short and long-term conversational memory, RAG pipelines with vector stores, and real-time data integration for grounded multi-turn conversations.
• Develop methods for verbal and non-verbal communication in avatars, including persona consistency, facial expressions, speech patterns, and real-time behavioral adaptation.
• Build perception pipelines integrating vision, audio, and language modalities for real-time avatar systems while coordinating with Voice and CV Engineers on multimodal interaction flows.
• Deploy LLMs and multimodal systems at scale by building APIs, inference endpoints, and serving infrastructure optimized for latency, throughput, GPU and CPU costs, and reliability for real-time avatar applications.
• Build and maintain pipelines for privacy-preserved insights systems across structured and unstructured datasets, including conversational corpora, avatar data, audio, and multimodal datasets.
• Build evaluation frameworks and monitoring systems to track reasoning quality, consistency, hallucination rates, persona alignment, memory fidelity, and drift while troubleshooting inference issues and iterating rapidly.
• Collaborate with product, design, and creative teams to translate conversational and avatar requirements into prompt pipelines, memory systems, and behavior controls while providing technical guidance on feasibility, capabilities, and tradeoffs.
• Apply prompting techniques for voice synthesis and image-to-video models to achieve natural prosody, pronunciation accuracy, and avatar generation.

Requirements

Technical Skills

• Bachelor's or Master's in CS, ML, AI, or related field, or equivalent hands-on experience.
• Backend Python skills (FastAPI, Flask, Django) for writing clean, scalable APIs and microservices that orchestrate LLM workflows.
• Hands-on with LLMs or VLMs and understanding of LLM agents, including multi-turn reasoning, function calling, tool use, conversational memory, and state management.
• Strong grasp of context engineering, including short and long-term memory management, RAG pipelines, information retrieval, and vector stores.
• Experience building chat and dialogue agents, including conversation management, contextual memory, and multi-agent coordination.
• Ability to architect end-to-end data and prompt engineering pipelines that ensure rich user experience aligned with product requirements.
• Experience with LLM serving frameworks such as vLLM or TensorRT-LLM and deployment on serverless GPU platforms such as Modal or RunPod.
• Strong debugging mindset for profiling inference bottlenecks, optimizing latency, and troubleshooting agent behavior.

Soft Skills

• Strong problem-solving with attention to detail.
• Clear communication to cross-functional teams.
• Collaborative mindset in fast-paced environments.

Nice to Have

• Experience with multimodal systems that combine text with vision, audio, or video in production settings.
• Familiarity with model evaluation harnesses, guardrails, or red-teaming workflows for LLM applications.
• Hands-on exposure to observability stacks for AI services, including tracing, latency monitoring, and cost analysis.
• Background in personalization, agent orchestration, or real-time interactive AI systems.

Remuneration

Competitive, with role-aligned incentives and growth opportunities.

What We're Looking For

Are you someone who loves rapid prototyping with CV and Generative AI models to create real-time interactive experiences? We are looking for someone who can adapt and integrate open-source (or near-open-source) models to power live avatar lip sync and body gesture systems.

As our CV / Gen AI Engineer, you will experiment, connect models, and ship working demos fast, focusing on clever solutions over perfect theory. We need a hands-on problem solver who embraces hacks, iterates quickly, and delivers real-time systems that bring avatars to life with expressive, responsive behavior.

Key Responsibilities

• Own the end-to-end model pipeline: integrate or replace open-source or research models (e.g., MuseTalk variants) as they emerge.
• Build a low-latency inference service (FastAPI or similar) that handles live audio and video streams.
• Implement basic preprocessing (OpenCV, PIL, MediaPipe) for frames, audio alignment, and gesture inputs.
• Track runtime issues, fix bugs, and iterate quickly on output quality (lip timing, jitter, desync).
• Collaborate with backend and streaming engineers to plug models into the Twitch pipeline.

Requirements

• 2-3 years hands-on with CV or generative models (PyTorch preferred).
• Proven ability to read and understand GitHub repos, tweak code, and retrain or fine-tune models.
• Comfortable serving models via Python APIs (FastAPI or Flask) and using Docker for reproducible runs.
• Strong debugging mindset; you can profile hotspots and trim latency pragmatically.
• Git, Linux, and basic cloud or GPU know-how.

Nice to Have

• Model optimization: quantization (INT8), ONNX Runtime or TensorRT, pruning, batching tricks.
• CI and CD for ML (GitHub Actions or Jenkins), simple model versioning.
• Kubernetes or serverless deploys; monitoring stacks (Prometheus, Grafana, ELK).
• Audio or TTS or phoneme alignment experience.
• Real-time streaming protocols (WebSockets, RTMP, WebRTC) or VTuber or graphics pipeline exposure.

Remuneration

Competitive, with role-aligned incentives and growth opportunities.

What We're Looking For

Are you a versatile Animator & AI Content Creator who thrives on building character-driven stories and short-form visual content? We are expanding our content capabilities to produce high-quality micro-dramas, narrative-driven shorts, and visually compelling stories that push the boundaries of AI-assisted creativity.

As our Animator & AI Content Creator, you will execute end-to-end production, from ideation and storyboarding to animation, editing, and final delivery. We need a multidisciplinary creator who can blend traditional techniques with modern AI workflows, crafting engaging narratives, designing expressive characters, and delivering polished content that elevates storytelling, creativity, and audience engagement.

Key Responsibilities

• Develop concepts, scripts, micro-stories, and visual treatments for short-form animated content.
• Create detailed storyboards and shot plans.
• Produce 2D animation, character animation, motion graphics, and visually engaging scenes.
• Edit, composite, and finalize content for publishing across various platforms.
• Use AI tools (video, image, voice, animation) to enhance production speed and creativity.
• Collaborate with Creative, Product, and Marketing teams to align content with brand and narrative direction.
• Maintain organized project files, timelines, and delivery pipelines.

Requirements

• 1-3 years' experience in animation, motion graphics, AI content creation, or video production.
• Strong command of Adobe After Effects, Premiere Pro, and at least one of Blender or similar 2D animation tools.
• Ability to craft short-form stories, character-driven scenes, and structured narrative beats.
• Experience with storyboarding, script breakdown, and visual narrative planning.
• Strong understanding of timing, pacing, sound integration, and visual storytelling.
• Familiarity with AI video or image tools such as Midjourney, Runway, Sora, Kling, Luma, or ElevenLabs is a strong plus.
• Ability to manage projects independently from concept to final export.

Nice to Have

• Experience creating content for social-first platforms such as TikTok, Instagram Reels, or YouTube Shorts.
• Comfort working with AI-assisted pipelines for voice, image, video, or motion generation.
• Familiarity with character design systems, reusable visual templates, or branded content workflows.
• Basic sound design or audio editing experience for short-form narrative content.
• Interest in AI avatars, interactive media, and emerging storytelling formats.

Remuneration

Competitive, with role-aligned incentives and growth opportunities.

What We're Looking For

Are you a marketing generalist eager to learn and ship work at the frontier of AI? ALETHIA AI is hiring a Growth Marketing Associate - AI to support campaigns, content, and community, turning ideas into impact across channels.

As our Growth Marketing Associate - AI, you will execute plans, create assets, analyze results, and collaborate across teams. We need an organized doer who writes clearly, learns, and brings energy which lifts our brand and community every day.

Key Responsibilities

Content Creation & Social Media Management

• Develop and execute engaging content across multiple social media platforms, aligning with ALETHIA AI's brand voice and strategic goals.
• Monitor and analyze social media performance metrics, adjusting strategies to optimize reach and engagement.
• Collaborate with cross-functional teams to ensure consistent messaging across all digital channels.

Campaign Support & Digital Marketing

• Assist in the planning, execution, and optimization of marketing campaigns, including email marketing and digital advertising.
• Participate in the creation of marketing materials, including blogs, newsletters, and press releases, ensuring all content is innovative, accurate, and impactful.

Market Analysis & Strategy Development

• Conduct research on industry trends, competitors, and potential market opportunities within the AI ecosystem.
• Support the development of go-to-market strategies for new product launches, leveraging data-driven insights to inform decision-making.

Partnerships & Collaborations

• Contribute to the identification and management of strategic marketing partnerships, helping to expand ALETHIA AI's reach and influence.
• Assist in coordinating events, webinars, and other marketing initiatives that drive brand awareness and community engagement.

Team Collaboration & Project Management

• Work closely with the marketing team to ensure seamless execution of projects, maintaining clear communication and alignment with company objectives.
• Manage multiple tasks and projects concurrently, demonstrating strong organizational skills and a proactive approach to problem-solving.

Requirements

• A recent graduate or a professional with 1 to 2 years of experience in marketing, preferably within AI.
• Demonstrated ability to create compelling content and manage digital platforms, with a keen eye for detail and a passion for storytelling.
• Proficiency in digital marketing tools and platforms, including social media management software and email marketing systems.
• A creative, scrappy, and innovative thinker who thrives in dynamic environments and is always looking for ways to enhance and optimize marketing efforts.
• Excellent communication skills, both written and verbal, with the ability to collaborate effectively with diverse teams and stakeholders.

Nice to Have

• Experience working with AI or developer communities and understanding how to communicate technical products clearly.
• Familiarity with analytics, campaign reporting, or lightweight A/B testing workflows.
• Hands-on experience with email platforms, CRM tools, or social scheduling systems.
• Comfort coordinating with design, content, and product teams in fast-moving launch environments.
• Interest in emerging AI products, ecosystem partnerships, and growth experimentation.

Remuneration

Competitive, with role-aligned incentives and growth opportunities.

What We're Looking For

Are you a Cyber Security Researcher with a strong foundation in information security and a passion for identifying vulnerabilities? We are looking for a motivated and detail-oriented Cyber Security Researcher to join our cybersecurity team, with hands-on exposure to penetration testing and a keen interest in API and cloud security.

As our Cyber Security Researcher, you will assess systems, perform security testing, and analyze risks across applications and cloud environments. We need a curious and disciplined problem-solver who understands security principles, explores emerging threats, and delivers actionable insights that strengthen our security posture and resilience.

Key Responsibilities

• Conduct vulnerability assessments and penetration testing on web applications, APIs, and systems.
• Identify, analyze, and report security vulnerabilities with clear remediation steps.
• Perform API security testing using modern tools and methodologies.
• Research emerging threats, vulnerabilities, and attack vectors.
• Collaborate with Fullstack, Development, and DevOps teams to improve security posture.

Requirements

• Option 1: Bachelor's degree in Computer Science, Cybersecurity, or related field with at least 3 years of Cybersecurity or Information Security experience.
• Option 2: Minimum 8 years of hands-on practical experience in cybersecurity (no formal degree required).
• Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP/HTTPS).
• Strong understanding of web application security (OWASP Top 10).
• Strong understanding of Linux systems and basic scripting.

Certifications

• CompTIA Security+
• PNPT (Practical Network Penetration Tester)
• CEH (Certified Ethical Hacker)
• BSCP or OSCP
• Equivalent security certifications

Technical Skills

• Hands-on experience with web application testing tools (Burp Suite, OWASP ZAP, etc.).
• API testing (Postman, Burp, custom scripts).
• Strong understanding of API security risks (authentication flaws, rate limiting, injection, etc.).
• Cloud security fundamentals (IAM, misconfigurations, shared responsibility model).

Nice to Have

• Experience with bug bounty platforms (HackerOne, Bugcrowd, etc.).
• Familiarity with scripting (Python, Bash, or JavaScript).
• Exposure to CI/CD security practices.

Soft Skills

• Strong analytical and problem-solving mindset.
• Good written and verbal communication skills.
• Ability to work independently and in a team.
• Continuous learning mindset.

Remuneration

Competitive, with role-aligned incentives and growth opportunities.

What We're Looking For

We're looking for a computer vision intern to work directly alongside our CV and ML engineers on the perception and visual understanding systems that power our AI characters. You'll pick up real tasks from the team's backlog, run experiments, and contribute to active work. You should be comfortable working in a fast-moving environment where requirements shift, and self-direction is expected.

What You'll Work On

• Implementing and testing pipelines for synthetic media generation, with a focus on diffusion and GAN-based models across image and video tasks.
• Running training and evaluation cycles on image and video datasets.
• Annotating, cleaning, and preparing visual datasets for model development.
• Profiling and debugging model performance across different input conditions.
• Writing clean, reproducible experiment code and keeping results documented.
• Supporting the core CV team with whatever is actively blocking progress.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Technology, Data Science, or a related field.
• Solid grasp of core ML concepts and how deep learning models are trained and evaluated.
• Working knowledge of Python and PyTorch.
• Some hands-on experience with OpenCV or similar vision libraries, even if from coursework or personal projects.
• Comfortable reading research papers and translating ideas into code.
• Good written communication; you'll be expected to document what you do.

Nice to Have

• Prior work on face-related vision tasks (detection, alignment, expression analysis).
• Familiarity with video understanding or temporal models.
• Any Kaggle competition history or open-source contributions in CV.

What You Get

• Hands-on exposure to production-grade generative AI systems.
• Mentorship from researchers and engineers actively working on multimodal AI character technology.
• Competitive stipend.

What We're Looking For

We're looking for an AI engineering intern who wants to go beyond model-level understanding and work on how AI systems are actually deployed in production. You'll work alongside our backend and AI teams on building agentic pipelines, integrating LLMs with real systems, and ensuring workflows are reliable and scalable.

You'll contribute to live product systems, assist in debugging and improving orchestration logic, and gain hands-on exposure to how modern AI applications are structured end-to-end. This role requires comfort working in a fast-moving environment where systems evolve quickly and independent problem-solving is expected.

What You'll Work On

• Assisting in designing and testing AI-powered pipelines involving LLMs, tool calling, and multi-step workflows.
• Integrating backend APIs with AI systems by connecting models to external services, databases, and data sources.
• Building and refining prompt templates for agentic and multi-turn LLM workflows.
• Debugging orchestration pipelines, identifying failure points, and supporting fixes under supervision.
• Testing pipelines across edge cases and failure scenarios to ensure robustness and reliability.
• Monitoring workflow outputs, tracking performance trends, and documenting anomalies.
• Writing clear documentation for system behavior, integration patterns, and implementation decisions.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science, AI, or a related field.
• Basic programming ability in Python or JavaScript and comfort reading, modifying, and running code.
• Familiarity with APIs (REST, JSON, request and response cycles) and system integration concepts.
• Basic understanding of LLMs (e.g., ChatGPT, Claude) and prompt-based workflows.
• Strong problem-solving skills with a structured, methodical approach.
• Good written communication skills with the ability to document clearly and precisely.
• Willingness to learn quickly, ask questions, and iterate based on feedback.

Nice to Have

• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex).
• Experience working with backend systems or building APIs.
• Familiarity with debugging workflows or handling system failures.
• Personal projects involving LLMs or AI-based applications.

What You Get

• Hands-on experience building production-grade AI systems and workflows.
• Mentorship from engineers working on real-world AI products.
• Exposure to modern LLM infrastructure, orchestration, and system design.
• Competitive stipend.