Software Development Engineer II - Full Stack ML Engineer
First seen by Alion on Oct 4, 2026.
Job Title: SDE II - Full Stack ML Engineer (Python / TypeScript)
Location: Hyderabad / Bangalore (On-site / Hybrid)
Experience: 3 6 Years
Compensation: Competitive / As per industry standards
Employment Type: Full-Time
About the Role:
We are seeking an experienced Full Stack SDE II to bridge the gap between data science and user-facing applications. In this role, you will build scalable backends, design intuitive frontends, and integrate cutting-edge Machine Learning and AI models into production environments.
Key Responsibilities:
- Architect and develop robust backend systems and APIs using Python (FastAPI, Django, or Flask).
- Build responsive, dynamic user interfaces and scalable middleware using TypeScript (React.js, Next.js, or Node.js).
- Integrate Machine Learning models (e.g., predictive analytics, NLP, LLMs) into production applications, ensuring low latency and high throughput.
- Collaborate closely with Data Scientists to operationalize AI pipelines and optimize ML model inference.
- Design and manage database architectures across both SQL (PostgreSQL) and NoSQL (MongoDB, Vector databases).
- Deploy, scale, and monitor full-stack ML applications using cloud infrastructure (AWS/GCP), Docker, and CI/CD pipelines.
Must-Have Qualifications:
- 3 to 6 years of production-level software engineering experience.
- Strong proficiency in Python for backend development and API design.
- Deep hands-on experience with TypeScript and modern frontend frameworks (React/Next.js).
- Proven experience integrating Machine Learning models into live software applications (MLOps, model serving, or AI API integrations).
- Solid understanding of relational databases and system design principles.
- Familiarity with cloud platforms (AWS) and containerization (Docker).
Good-to-Have Skills:
- Hands-on experience with Vector Databases (Pinecone, Weaviate) or RAG architectures.
- Experience with ML serving frameworks like Triton, Ray Serve, or ONNX.
- Background in building AI agents or working directly with LLM workflows.
Skills
Full Stack, Python, TypeScript, API, Django, FastAPI, React.js, Next.js, Node.js, API Integration, Machine Learning