Inside Sales Specialist

Locations: Bangalore & Mumbai

⏳ Experience: 3–15 Years

⚡ Notice Period: Immediate Joiners or Max 10 Days

Mandatory Skills:

✅ Strong Core Java

✅ Excellent Problem-Solving Skills

✅ Data Structures & Algorithms

✅ AI / LLM Knowledge

✅ Strong Coding Skills

Important:

Candidates must be available for a Face-to-Face Interview in Bangalore or Mumbai.

Only Immediate Joiners or candidates serving up to 10 days' notice period will be considered.

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pagqo91lKv3VJg3GT/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

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

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

1. Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
2. Work collaboratively with software engineering to define infrastructure and deployment requirements
3. Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
4. Ensure configuration and compliance with configuration management tools
5. Administer and troubleshoot Linux based systems
6. Troubleshoot problems across a wide array of services and functional areas
7. Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
8. Perform infrastructure cost analysis and optimization

Strategic Partnerships Head - Y Combinator backed Shopify-like platform

About Merito :

Responsibilities 

• Adding more features to our existing website which can ease the campaign launching process for campaigners. 
• Incorporating various tools which can track the users behavior and other key metrics. 
• Build APIs which are scalable and can help strategically partnering with other companies or organizations. 
• Adopting and incorporating changes as per the new technologies. 
• Investigate production issues pertaining to customer features to determine root cause and implement solutions 
• Work with the real-time feedback from our users (external and internal) to make the products better. 
• Take ownership of the backend services, ensure the best possible performance.
• Strong problem-solving skills, organizational and communication skills, team player

Requirements 

• Preferably 1+ year of experience in full stack development. 
• Hands on experience in front-end languages preferably html5, CSS3, React Js. 
• Top-notch programming skills in JavaScript and a strong understanding of web fundamentals 
• Experience in backend languages preferably NodeJs
• Familiar with MySQL/SQL server 
• Familiar with JavaScript technologies 
• Familiar with cloud services like AWS, Git 
• Knowledge/experience in building Web APIs 
• Good understanding of the foundations of security and best practices ∙ Good Problem-solving skills. 

What you'll get: 

Work with technologies like React, ReactJS, NodeJs.

Gain knowledge on full application lifecycle 

Faster growth and opportunities

• Knowledge in Linux Kernel development.
• Knowledge in microcontrollers
• Knowledge of Audio processing circuits based on ADC, DAC / Zynq 7Z010 / Xilinx /
• Zynq XC7Z010-2CLG400I / ARM processing / Interfacing with 24-bit Dual-channel
• Audio Codec (TLV320AIC23B)/ LInux /Uboot, Kernel Image / POSIX Environment.
• Knowledge in FPGA synthesis, simulation, and back end flows
• Bringing up Linux environment on ARM

Job Title: Project Associate - Mixed Signal Design Profile
Industry: Wireless communication, 5G
Organization: 5G TestBed-IIT Hyderabad- Hyderabad

Job Description
Work Profile:
· Work on development of custom Analog circuit boards for applications related to RF, interfaces etc.
· Implement new features and bug fixes
· Verify analog/mixed-signal integrated circuits
· Develop test cases to verify new features and bug fixes
· Review and update the user manuals for software tools.
· Supporting digital modelling of analog circuits for mixed-signal verification
· Creating design specifications and circuit schematics
· Work both independently and in a team environment, with the opportunity to provide technical leadership to other members of the engineering team
· Create and/or modify specification documents detailing system design and enhancements to meet marketing requirements
· Collaborate with others in the creation of technical reports, whitepapers, and user documentation

Requisites:
· EE/EEE/ECE graduate, undergraduate degree from reputed Tier 1 or Tier 2 colleges .
· Strong knowledge of analog integrated circuit design fundamentals
· Proven experience taking designs from concept to production
· Experience in analog/mixed-signal IC design & verification
· Understanding of BJT, CMOS and Op-Amp technologies.
· Good understanding of analog/mixed-signal design flows (Cadence, Synopsys)
· Transistor and system level simulation skills
· Discrete time and continuous time signal processing skills
· Strong lab and silicon validation skills
· Verilog based digital design and test bench development, is a plus
· Strong communication skills, both written and verbal
About us:
For more details please visit: http://5g.iith.ac.in/
IIT Hyderabad in collaboration with top Indian institutes including IITM, CEWiT, IITD, IITK, IISC and SAMEER is building the largest 5G testbed of the country, with the support of Department of Telecommunications (DoT) Govt. of India. This project will create a 5G prototype and testing platform that will be developed under the guidance of IIT-H faculty.
The project will deliver an end-to-end 5G testbed comprising 5G BS and UE nodes that support enhanced mobile broadband (eMBB), Ultra low latency communication (URLLC), and massive MTC including NB IoT services. The operating frequently includes both sub 6 GHz and mmwave frequencies. The system will exceed IMT 2020 5G performance requirements including Low Mobility Large Cell (i.e.., LMLC) targets introduced by India at ITU.
The 'Indigenous 5G Testbed' project is a long-term effort with a team of 100+ researchers/engineers based out of IIT-H campus.