
Generative AI Engineer
1 week ago
At Align Labs, we build intelligent systems, AI-powered tools, and data platforms that enable ventures to scale faster, smarter, and more efficiently. From real-time analytics to generative agents, we operate at the frontier of applied AI designing products that power discovery, creativity, and business growth across markets. We intend to rethink digital transformation and product development with our collaboratos
We are looking for an
AI & Data Engineer
a hybrid of a
data scientist, computer scientist, and software engineer
who thrives on building, experimenting, and deploying real systems at scale. If you've ever wanted to go beyond research notebooks and ship production-grade AI products, this is your playground.
What you'll do
- Design & Build AI Systems
: Develop end-to-end pipelines (data ingestion, cleaning, embeddings, model training, evaluation, and deployment). - Engineer Scalable Infrastructure
: Architect APIs, microservices, and data systems (structured + unstructured) that integrate into live products. - Experiment & Ship
: Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents—and push them into production. - Full-Stack Thinking
: Move fluidly between model work, backend engineering, and systems design. - Collaborate Across Ventures
: Work alongside product managers, designers, and founders to bring new AI-powered ventures to life.
What we're looking for
- Strong programming background (
Python, , or similar
) and deep comfort with software engineering best practices. - Experience with
ML/AI frameworks
(PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.). - Knowledge of
data engineering & databases
(SQL/NoSQL, vector DBs like Pinecone/Weaviate, cloud storage). - Familiarity with
MLOps
and deployment (Docker, Kubernetes, AWS/GCP/Azure). - Hands-on exposure to
retrieval systems, embeddings, and RAG pipelines
. - A builder's mindset -comfortable taking ownership from zero-to-one.
- Experience with
multi-modal systems
(text, voice, vision). - Interest in
generative agents, conversational AI, or recommendation engines
. - Previous work in
startups or venture studios
.
Why join us
- Build real AI systems, not just demos—your work will power products used across multiple ventures.
- Work in a lean, fast, experimental environment with founders and creators.
- Shape the future of applied AI in India and beyond.
- Flat structure, high trust, and room to own and grow.
Send your LinkedIn profile, GitHub/portfolio, or anything that showcases your projects and builds to
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