Generative AI Engineer
5 days ago
About the role
Join us in building the core backend infrastructure that powers the next generation of legal AI—enabling advanced search, intelligent drafting, and workflow automation at scale. This is a highly technical role with the opportunity to grow into a founding engineer track. We offer market-competitive salary + ESOPs.
Location
: Hyderabad, India — in-person (onsite only).
What you'll do
• Design and build scalable, well-tested FastAPI services and internal APIs.
• Own data and storage layers on PostgreSQL (schema design, indexing, query tuning, migrations).
• Lead AWS-heavy deployments (e.g., ECS/EKS or Lambda, S3, RDS, CloudFront, IAM) and IaC (Terraform/CloudFormation).
• Productionize AI features: wire up transformer/NLP pipelines, embeddings, vector search, and model-serving endpoints.
• Drive performance, security, and observability (tracing, metrics, structured logging, alerts).
• Collaborate closely with product/ML to ship end-to-end features in fast iterations.
Must-have qualifications
• B.Tech in Computer Science (or related field). M.Tech/PhD is a plus.
• Strong proficiency in Python and FastAPI, with deep experience building production APIs/services.
• Hands-on expertise with PostgreSQL and AWS (you've owned production systems).
• Solid CS fundamentals: data structures, algorithms, distributed systems, networking.
• AI fundamentals—especially transformers and NLP—and experience integrating models into products.
• Evidence of rigor: Demonstrated depth in AI/ML or systems, shown through published research papers or equivalent large-scale industry projects.
Nice to have
• Model serving stacks (Hugging Face, vLLM/Triton), embeddings/vector DBs (pgvector, OpenSearch, Pinecone).
• Eventing/streaming (Kafka/SQS), caching (Redis), queues/background workers (Celery/RQ).
• CI/CD ownership, containerization (Docker), and Kubernetes.
• Security best practices (secrets management, least-privilege IAM, threat modeling).
• Document processing pipelines (PDF/HTML), retrieval-augmented generation.
What you'll love here
• Founding-engineer path with meaningful ESOPs.
• Big impact, zero bureaucracy: ship, measure, iterate.
• An environment that's equal parts enjoyment and equal parts hard work—high ownership, fast learning.
• Daily, in-person collaboration at our Hyderabad office.
How we work
• Pragmatic engineering: clear interfaces, clean code, strong tests.
• Bias for action: you own problems end-to-end and move with startup speed.
• Collaborative by default: pair with ML/product/legal experts to solve real user problems.
• Onsite role (not remote/hybrid).
Interview process (typical)
- Intro chat (mutual fit, role/impact).
- Technical deep dive (Python/FastAPI/Postgres + systems design).
- AI/NLP discussion (transformers, serving, retrieval).
- Founder loop & offer.
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