AI & ML Developer

Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

You will:

• Build and own features end-to-end — from design → deployment → scale.
• Architect scalable, loosely coupled systems powering AI-native workflows.
• Create robust integrations with 3rd-party systems.
• Push boundaries on reliability, performance, and automation.
• Write clean, tested, secure code → and continuously improve it.
• Collaborate directly with Founders & Snr engineers in a high-trust environment.

Our Tech Arsenal:

• We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
• That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.

Ideal Candidate

• Strong Full stack/Backend engineer profile
• Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
• Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
• Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
• Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding
• Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
• Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
• Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
• Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
• Mandatory (Company) : Product companies (B2B SaaS preferred)
• Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)
• Preferred (Location) - Mumbai, Bangalore
• Preferred (Skills) : Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
• Preferred (Education) : B.Tech from Tier 1,Tier 2 institutes

Experience: 5+ years building and operating production-grade Python services. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.

Your mission: keep this engine reliable and scale it as we grow.

What You Will Do

Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.

Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.

Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.

Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.

Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.

Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.

Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.

What We Are Looking For

• 5+ years building and operating production Python services
• Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
• Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
• Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
• Hands-on with Docker, Linux, and AWS deployment
• Experience with Terraform or equivalent infrastructure-as-code tooling
• Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
• Proficient with type hints, pytest, and modern Python packaging
• PostgreSQL, SQLAlchemy, and Alembic in production
• Clear communicator: your design docs and PRs show first-principles thinking

Bonus Points

• Experience with Snowflake, DuckDB, or Databricks connector patterns
• Prior work integrating LangGraph or LangChain workflows into a production API layer
• Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
• Contributions to open-source backend or infrastructure tooling
• Experience operating under SOC 2 or equivalent compliance requirements

Life at Terrabase

Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

About Us

We are building the next generation of AI-powered products and platforms that redefine how businesses digitize, automate, and scale. Our flagship solutions span eCommerce, financial services, and enterprise automation, with an emerging focus on commercializing cutting-edge AI services across Grok, OpenAI, and the Azure Cloud ecosystem.

Role Overview

We are seeking a highly skilled Full-Stack Developer with a strong foundation in e-commerce product development and deep expertise in backend engineering using Python. The ideal candidate is passionate about designing scalable systems, has hands-on experience with cloud-native architectures, and is eager to drive the commercialization of AI-driven services and platforms.

Key Responsibilities

• Design, build, and scale full-stack applications with a strong emphasis on backend services (Python, Django/FastAPI/Flask).
• Lead development of eCommerce features including product catalogs, payments, order management, and personalized customer experiences.
• Integrate and operationalize AI services across Grok, OpenAI APIs, and Azure AI services to deliver intelligent workflows and user experiences.
• Build and maintain secure, scalable APIs and data pipelines for real-time analytics and automation.
• Collaborate with product, design, and AI research teams to bring experimental features into production.
• Ensure systems are cloud-ready (Azure preferred) with CI/CD, containerization (Docker/Kubernetes), and strong monitoring practices.
• Contribute to frontend development (React, Angular, or Vue) to deliver seamless, responsive, and intuitive user experiences.
• Champion best practices in coding, testing, DevOps, and Responsible AI integration.

Required Skills & Experience

• 5+ years of professional full-stack development experience.
• Proven track record in eCommerce product development (payments, cart, checkout, multi-tenant stores).
• Strong backend expertise in Python (Django, FastAPI, Flask).
• Experience with cloud services (Azure preferred; AWS/GCP is a plus).
• Hands-on with AI/ML integration using APIs like OpenAI, Grok, Azure Cognitive Services.
• Solid understanding of databases (SQL & NoSQL), caching, and API design.
• Familiarity with frontend frameworks such as React, Angular, or Vue.
• Experience with DevOps practices: GitHub/GitLab, CI/CD, Docker, Kubernetes.
• Strong problem-solving skills, adaptability, and a product-first mindset.

Nice to Have

• Knowledge of vector databases, RAG pipelines, and LLM fine-tuning.
• Experience in scalable SaaS architectures and subscription platforms.
• Familiarity with C2PA, identity security, or compliance-driven development.

What We Offer

• Opportunity to shape the commercialization of AI-driven products in fast-growing markets.
• A high-impact role with autonomy and visibility.
• Competitive compensation, equity opportunities, and growth into leadership roles.
• Collaborative environment working with seasoned entrepreneurs, AI researchers, and cloud architects.

Looking for a 5+ years experienced Senior Full-stack Engineer (Backend Heavy) for a research-focused, product-based, US-based Startup.

AI Assistant for Research using state-of-the-art language models (AI Agent for Academic Research)

At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're 

already making waves in the industry, with a whopping 5 million users 

on board as of November 2025! Our users love us too, with a 40% 

MOM retention rate and 10% of them using our app more than once 

a week! We're growing by more than 50% every month, all thanks to 

our awesome users spreading the word (see it yourself on Twitter). Andwith almost weekly feature launches since our inception, we're 

constantly pushing the boundaries of what's possible. Our team of 

experts in design, frontend, fullstack engineering, and machine learning

are already in place, but we're always on the lookout for new talent to help us take things to the next level. Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.

We are looking for insatiably curious, always learning SDE 2 Fullstack Engineers. You could get a chance to work on the most important and challenging problems at scale.

Responsibilities:

* Work in managing products as part of SciSpace product suite.

* Partner with product owners in designing software that becomes part of researchers’ lives

* Model real-world scenarios into code that can build the SciSpace platform

* Test code that you write and continuously improve practices at SciSpace

* Arrive at technology decisions after extensive debates with other engineers

* Manage large projects from conceptualisation, all the way through deployments

* Evolve an ecosystem of tools and libraries that make it possible for SciSpace to provide reliable, always-on, performant services to our users

* Partner with other engineers in developing an architecture that is resilient to changes in product requirements and usage

* Work on the user-interface side and deliver a snappy, enjoyable experience to your users

Our Ideal Candidate would:

* Strong grasp of one high-level language like Python, JavaScript, etc.

* Strong grasp of front-end HTML/CSS, non-trivial browser-side JavaScript

* General awareness of SQL and database design concepts

* Solid understanding of testing fundamentals

* Strong communication skills

* Should have prior experience in managing and executing technology products.

Bonus:

* Prior experience working with high-volume, always-available web applications

* Experience in ElasticSearch.

* Experience in distributed systems.

* Experience working with a Start-up is a plus point.

Position: Founding Engineer (SDE)

Location: Remote

Do you have a passion for developing cutting-edge software? Do you thrive in the innovative atmosphere of a startup? If coding is your art, and you have the prowess to turn problems into sophisticated solutions, then we're looking for you!

We are an early-stage startup working on re-defining how businesses in India approach accounting.

The Role:

• Dive deep into coding challenges, transforming ideas into groundbreaking software solutions.
• Play a pivotal role in our startup's journey, working closely with a dynamic team to develop the next big thing.
• See the immediate impact of your work in a rapidly-growing company.
• 
  

What We're Looking For:

• Experience: Minimum 2 years in software development.
• Problem Solvers: Ability to take on a challenge, break it down, and deliver an end-to-end solution.
• Team Player: Collaborative mindset to work seamlessly with cross-functional teams.
• Fast Learner: Adaptability in a rapidly changing environment

Nice to Have:

• Victories in hackathons or coding challenges, showcasing your ability to innovate under pressure.

Why Join Us?

• Be at the forefront of our exciting journey, where your contributions directly shape our success.
• Collaborative and open culture – your insights and expertise won't just be appreciated; they'll be celebrated!
• Opportunities for rapid growth, professional development, and unique challenges.
• Competitive, class-leading compensation

CTC: 25-40LPA based on experience

What you need to have:

What you need to have: