AI Engineer
Penguin AI
This job is no longer accepting applications
See open jobs at Penguin AI.See open jobs similar to "AI Engineer" Watershed.Penguin Ai: Seeking an AI Engineer to Supercharge Our Healthcare Revolution!
Your Role: Generative AI Builder. LLM Magician. Production Pioneer. AI Architect's Right Hand.
Location: Hyderabad
Type: Full-time, Full-throttle!
Start Date: Immediate joiner preferred
Who We Are: The Penguin Ai Rebellion!
We’re not your average AI company — and we don’t want average teammates. Penguin Ai was founded by healthcare veterans who knew the system needed more than hype and half-baked algorithms. We built an AI platform that actually works in healthcare — across Prior Auth, HCC Coding, and all those soul-crushing workflows no one brags about. Our platform is fast to implement (think: 60 days), reduces administrative costs up to 40%, and makes payers look like heroes without writing a line of code.
This is AI for the real world of healthcare. And just to put a fine point on it: powerhouses like Snowflake and AWS don't just partner with anyone. Their trust in our platform speaks volumes about our robust, scalable, and secure technology.
We're growing faster than a penguin on a waterslide and we’re always on the hunt for customer-obsessed problem-solvers to help our clients unlock the full potential of their AI investments.
This isn’t some futuristic sci-fi movie set, this is AI for the real, gritty, essential world of healthcare where speed & data matter.
About the Role: Your Epic Quest as Our AI Engineer!
You are the hands-on builder who brings our AI visions to life! As our AI Engineer, you'll be at the forefront of developing, implementing, and optimizing AI solutions using cutting-edge generative AI technologies. This role is all about getting your hands dirty – from building innovative AI applications and integrating complex models to deploying them seamlessly into production. You'll be working side-by-side with our AI architecture team, turning blueprints into groundbreaking realities.
If you thrive on translating abstract ideas into tangible, high-performing AI systems that solve real-world problems in healthcare, then gear up – your next great engineering challenge awaits!
Your Day-to-Day Superpowers: What You’ll Actually Do:
Your AI Application Architect Superpowers:
- LLM App Developer: Build and maintain powerful AI-powered applications, wielding LLM APIs from the biggest names (OpenAI, Claude, Gemini, etc.) like a true magician
- Prompt Engineering Pro: Implement clever prompt engineering strategies and continuously optimize model interactions for peak performance and cost-efficiency
- Custom AI Workflow Creator: Develop bespoke AI workflows, including advanced Retrieval-Augmented Generation (RAG) systems, pushing the boundaries of what's possible
- Robust System Builder: Engineer resilient applications with robust error handling, intelligent fallback mechanisms, and precise response validation systems
Your Model Implementation & Fine-tuning Mastery:
- Open-Source Optimizer: Fine-tune open-source models (like Llama, Mistral) to perfection for specific, high-impact business use cases and domains
- Training Pipeline Pioneer: Implement cutting-edge training pipelines using modern frameworks (PyTorch, Hugging Face Transformers)
- Performance Perfectionist: Conduct thorough model evaluation, A/B testing, and relentless performance optimization to ensure our AI is always at its best
- Versioning Visionary: Master model versioning and experiment tracking, keeping our AI development organized and predictable
Your Production Deployment & Operations Command:
- Deployment Dynamo: Seamlessly deploy AI models and applications using FastAPI, Docker, and Kubernetes, ensuring smooth transitions from development to production
- Scalable Microservices Architect: Build scalable microservices architectures for our AI applications, ensuring they can handle immense loads with ease
- Monitoring Maestro: Implement comprehensive monitoring, logging, and alerting systems for our production AI systems, catching issues before they even become problems
- Inference Optimizer: Continuously optimize inference performance, latency, and resource utilization, making our AI run faster and more efficiently than ever
Your Integration & Data Engineering Genius:
- System Integrator: Weave AI capabilities into existing systems and complex workflows, making our AI a seamless part of our customers' operations
- Data Pipeline Architect: Design and build robust data pipelines for both model training and inference
- Vector Database Virtuoso: Work expertly with vector databases and embedding systems, unlocking the power of semantic search and knowledge retrieval
- Caching & Preprocessing Champion: Implement smart caching strategies and efficient data preprocessing pipelines to feed our AI with perfectly prepared data
What We're Looking For: Your AI Engineering Arsenal!
We need someone who embodies a blend of hands-on coding expertise, deep AI knowledge, and a passion for production-grade systems.
Your AI Engineering Experience:
- ML/Software Engineering Veteran: 3+ years of battle-tested experience in machine learning or software engineering
- Generative AI & LLM Integrator: 1+ years of hands-on experience integrating and building with generative AI and LLMs
- Production Deployment Pro: Demonstrated experience deploying robust ML models into production environments
Your Technical Skills:
- LLM API Expert: Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.)
- Transformer Tuner: Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar
- Python Powerhouse: Strong proficiency in Python and modern software development practices
- Deployment Dynamo: Hands-on experience with FastAPI, Docker, and containerization
- Kubernetes Commander: Experience with Kubernetes for container orchestration
- Microservices Architect: Strong knowledge of RESTful API design and microservices architecture
Your Core Competencies:
- Transformer Architect: Deep understanding of transformer architectures, embeddings, and attention mechanisms
- Prompt Engineering Guru: Expertise in prompt engineering and model optimization techniques
- MLOps Familiar: Familiarity with MLOps practices and tools (model versioning, monitoring, CI/CD)
- Debugging Detective: Strong debugging and troubleshooting skills
- Distributed Systems Dynamo: Ability to work effectively with large-scale data and distributed system
Bonus Points: Your Secret Weapons!
- You've launched healthcare AI or automation products at scale
- You've not just survived but thrived in the beautiful chaos of a high-growth startup
- Have a knack for vector databases (Pinecone, Weaviate, Chroma, etc.) and RAG implementation
- Are familiar with model quantization and optimization techniques
- Have experience with cloud platforms (AWS, GCP, Azure) and their AI services
- Have built streaming and real-time AI applications
- Possess knowledge of AI safety and responsible AI practices
- Have expertise in specific domains like NLP or computer vision
The Culture Fit: Join Our Colony!
You'll waddle with us if:
- You like your coffee with a side of delightful chaos.
- You're fuelled by complexity and obsessed with delivering amazing results.
- You want to build something that fundamentally transforms healthcare, not just tweaks it around the edges.
- You believe implementation isn’t a handoff; it’s the start of an epic, trusted partnership!
Education & Qualifications:
A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Comp & Perks: Because Even Superheroes Need Support!
- Competitive salary : We reward your ingenuity!
- Group Medical Insurance : Keep you healthy and smiling.
- Generous vacation policy and company holidays: Recharge and conquer!
- A front-row seat in one of healthcare's most exciting AI companies – witness history in the making!
This job is no longer accepting applications
See open jobs at Penguin AI.See open jobs similar to "AI Engineer" Watershed.